In [132]:
plot_grid_search(res_max_depth_subsample_training, depth, subsample_set, "max_depth", "subsample", "training")
# load the realted package
import numpy as np
import pandas as pd
# load the preprocessing package(mainly sklearn)
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklearn.model_selection import train_test_split
from sklearn.feature_selection import SelectKBest, mutual_info_regression
from sklearn.metrics import r2_score
# load ploting packages
import matplotlib.pyplot as plt
import seaborn as sns
# load XGBoost, A boosting method.
import xgboost as xgb
from xgboost import plot_tree
import shap
# load features
# d1 Phe72 H𝜁 (Tyr72 H𝜂 ) – Glu166 O𝜀2
# d2 Lys73 H𝜁2 – Glu166 O𝜀2
# d3 Water H1 – Glu166 O𝜀2
# d4 Water H1 – Glu166 O𝜀1
# d5 Asn170 H𝛿2 – Glu166 O𝜀1
# d6 Water H2 – Asn170 O𝛿
# d7 Lys73 H𝜁1 – Water O
# d8 Lys73 H𝜁2 – Asn132 O𝛿
# d9 Water O – IPM C7
# d10 Lys73 H𝜁1 – Ser70 O𝛾
# d11 IPM 6𝛼OH – Water O
# d12 IPM 6𝛼OH – Asn132 O𝛿
# d13 IPM 6𝛼OH – Glu166 O𝜀1
# d14 IPM 6𝛼OH – Glu166 O𝜀2
# d15 Lys73 H𝜁1 – Ser130 O𝛾
# d16 Ser130 H𝛾 – IPM N4
features_name = ['d1', 'd2', 'd3', 'd4', 'd5', 'd6', 'd7', 'd8', 'd9', 'd10', 'd11','d12', 'd13', 'd14', 'd15', 'd16']
wt_d1_16_distances = np.load("/users/chaoy/scratch/0.proj_kpc/2.data_anal/2.disanal/3.new_features_16_distances/kpc_wt_d1_16_features.npy")
wt_d2_16_distances = np.load("/users/chaoy/scratch/0.proj_kpc/2.data_anal/2.disanal/3.new_features_16_distances/kpc_wt_d2_16_features.npy")
y72_d1_16_distances = np.load("/users/chaoy/scratch/0.proj_kpc/2.data_anal/2.disanal/3.new_features_16_distances/kpc_y72_d1_16_features.npy")
y72_d2_16_distances = np.load("/users/chaoy/scratch/0.proj_kpc/2.data_anal/2.disanal/3.new_features_16_distances/kpc_y72_d2_16_features.npy")
# concatenate four systems together
features = np.concatenate((wt_d1_16_distances, wt_d2_16_distances, y72_d1_16_distances, y72_d2_16_distances), axis = 1).T
# build a dataframe for features
features_df = pd.DataFrame(features, columns = ['d1', 'd2', 'd3', 'd4', 'd5', 'd6', 'd7', 'd8', 'd9', 'd10', 'd11','d12', 'd13', 'd14', 'd15', 'd16'])
# load energy
system_lables = ["wt_d1"] * 200 + ["wt_d2"] * 200 + ["y72_d1"] * 200 + ["y72_d2"] * 200
# load the barrier energy for every pathway
wt_d1_bar_ene = np.load("/users/chaoy/scratch/0.proj_kpc/1.sample/1.kpc_wt_d1/7.sp/0.b3lyp_d3/charge_ene/enes_all_paths.npz")['ene_barrier']
wt_d2_bar_ene = np.load("/users/chaoy/scratch/0.proj_kpc/1.sample/0.kpc_wt_d2/7.sp/0.b3lyp_d3/charge_ene/enes_all_paths.npz")['ene_barrier']
y72_d1_bar_ene = np.load("/users/chaoy/scratch/0.proj_kpc/1.sample/3.kpc_y72_d1/7.sp/0.b3lyp_d3/charge_ene/enes_all_paths.npz")['ene_barrier']
y72_d2_bar_ene = np.load("/users/chaoy/scratch/0.proj_kpc/1.sample/2.kpc_y72_d2/7.sp/0.b3lyp_d3/charge_ene/enes_all_paths.npz")['ene_barrier']
# merge barrier energy together
bar_ene = np.concatenate((wt_d1_bar_ene, wt_d2_bar_ene, y72_d1_bar_ene, y72_d2_bar_ene))
X_train, X_test, y_train, y_test = train_test_split(features_df, bar_ene, test_size= 0.1, random_state=42, stratify = system_lables)
def model_train(para,dtrain,num_boost_round, evallist):
xgb_m = xgb.train(para,
dtrain,
num_boost_round = num_boost_round,
evals = evallist,
early_stopping_rounds=20,
verbose_eval = False,
)
return xgb_m
dtrain = xgb.DMatrix(X_train, label =y_train, feature_names = features_name)
dtest = xgb.DMatrix(X_test, label =y_test, feature_names = features_name)
evallist = [(dtest,'eval'), (dtrain,'train')]
num_boost_round = 300
depth = [1,2,3,4,5,6,7,8,9,10]
subsample_set = [0.5, 0.55, 0.60, 0.65, 0.70, 0.75, 0.80, 0.85, 0.90]
print(subsample_set)
eta_set = [1e-2, 1e-1, 1]
min_child_weight_list = [0,1,2,3,4,5,6,7,8,9]
mae_list = []
for max_depth in depth:
for subsample in subsample_set:
for eta in eta_set:
for min_child_weight in min_child_weight_list:
para = {'verbosity':0,
'max_depth':max_depth,
'subsample':subsample,
'objective':'reg:squarederror',
'eval_metric':'mae',
'eta':eta,
'gamma': 1,
'min_child_weight': min_child_weight,
}
xgb_m = model_train(para, dtrain, num_boost_round , evallist)
preds_test = xgb_m.predict(dtest)
preds_train = xgb_m.predict(dtrain)
mae_test = np.mean(abs(preds_test-y_test))
mae_train = np.mean(abs(preds_train-y_train))
mae_list.append([max_depth, subsample, eta, min_child_weight, mae_test, mae_train, (mae_test - mae_train)])
print("max_depth:", max_depth, "subsample:", subsample, "eta: ", eta, "min_child_weight:", min_child_weight, "testing",mae_test, "Training", mae_train, "DIfference", mae_test-mae_train)
[0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9] max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 0 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 1 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 2 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 3 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 4 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 5 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 6 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 7 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 8 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.01 min_child_weight: 9 testing 3.857319430349162 Training 4.323350017116819 DIfference -0.46603058676765663 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 0 testing 2.2996342487225774 Training 2.623052815334975 DIfference -0.32341856661239765 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 1 testing 2.2996342487225774 Training 2.623052815334975 DIfference -0.32341856661239765 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 2 testing 2.2996342487225774 Training 2.623052815334975 DIfference -0.32341856661239765 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 3 testing 2.372134185797768 Training 2.648199077398102 DIfference -0.2760648916003343 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 4 testing 2.398673883435549 Training 2.648041953833308 DIfference -0.24936807039775877 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 5 testing 2.4391688375442753 Training 2.648159193043183 DIfference -0.20899035549890765 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 6 testing 2.4392859115672763 Training 2.6476288802882966 DIfference -0.20834296872102032 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 7 testing 2.4066488637879955 Training 2.648167041890944 DIfference -0.2415181781029485 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 8 testing 2.4033870696963278 Training 2.6468850649750997 DIfference -0.24349799527877192 max_depth: 1 subsample: 0.5 eta: 0.1 min_child_weight: 9 testing 2.4367172040918375 Training 2.651963573884374 DIfference -0.21524636979253664 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 0 testing 3.356033233151538 Training 2.3954090587911194 DIfference 0.9606241743604187 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 1 testing 3.356033233151538 Training 2.3954090587911194 DIfference 0.9606241743604187 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 2 testing 3.6455364732828457 Training 2.018442257304883 DIfference 1.6270942159779627 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 3 testing 3.502008132933406 Training 2.037203618049777 DIfference 1.464804514883629 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 4 testing 3.634614656440681 Training 2.0131126626381755 DIfference 1.6215019938025055 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 5 testing 3.384268334863009 Training 2.541643876140006 DIfference 0.842624458723003 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 6 testing 3.2004093189199923 Training 2.4428445479651497 DIfference 0.7575647709548425 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 7 testing 3.549507286521839 Training 2.093698699320925 DIfference 1.4558085872009139 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 8 testing 3.7105003805074377 Training 2.43717517906981 DIfference 1.2733252014376277 max_depth: 1 subsample: 0.5 eta: 1 min_child_weight: 9 testing 3.6980162381601986 Training 2.117038374744718 DIfference 1.5809778634154807 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 3.899182757380186 Training 4.32832594224407 DIfference -0.42914318486388403 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.3464756946370473 Training 2.628684176448991 DIfference -0.2822084818119439 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.3464756946370473 Training 2.628684176448991 DIfference -0.2822084818119439 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.3464756946370473 Training 2.628684176448991 DIfference -0.2822084818119439 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.4333803987305145 Training 2.6678753445985626 DIfference -0.2344949458680481 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.444801491725957 Training 2.672746606619977 DIfference -0.22794511489402014 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.4765110511623787 Training 2.6620352141145203 DIfference -0.18552416295214158 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.46053162572789 Training 2.6661063606553297 DIfference -0.20557473492743972 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.4083481264009605 Training 2.652572625587022 DIfference -0.24422449918606137 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.459502908674767 Training 2.6706536189226124 DIfference -0.21115071024784537 max_depth: 1 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.4808033876295665 Training 2.661884990907533 DIfference -0.18108160327796652 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 0 testing 2.8430943541286977 Training 1.960720006469637 DIfference 0.8823743476590606 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 1 testing 2.8430943541286977 Training 1.960720006469637 DIfference 0.8823743476590606 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 2 testing 2.8430943541286977 Training 1.960720006469637 DIfference 0.8823743476590606 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 3 testing 3.1801076764881144 Training 1.9153567395768025 DIfference 1.264750936911312 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 4 testing 3.441126540658297 Training 2.002554519123967 DIfference 1.43857202153433 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 5 testing 3.4665809955622535 Training 1.9069388567702845 DIfference 1.559642138791969 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 6 testing 3.7211132116091905 Training 1.9134121092126912 DIfference 1.8077011023964993 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 7 testing 3.343232298415387 Training 1.9877480467716748 DIfference 1.3554842516437122 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 8 testing 2.9877894182282034 Training 2.292502180373089 DIfference 0.6952872378551143 max_depth: 1 subsample: 0.55 eta: 1 min_child_weight: 9 testing 3.326913903938839 Training 2.520715831863021 DIfference 0.806198072075818 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 3.8977064237522425 Training 4.338448737242207 DIfference -0.44074231348996484 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.44373748874641 Training 2.6341927738213498 DIfference -0.1904552850749397 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.44373748874641 Training 2.6341927738213498 DIfference -0.1904552850749397 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.44373748874641 Training 2.6341927738213498 DIfference -0.1904552850749397 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.532115686411271 Training 2.6560035932395194 DIfference -0.12388790682824835 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.5339613733289297 Training 2.6519075443528384 DIfference -0.1179461710239087 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.552759605407482 Training 2.649297005548659 DIfference -0.09653740014117718 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.556822615623241 Training 2.6442517066529643 DIfference -0.08742909102972307 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.539701807970414 Training 2.650460341139438 DIfference -0.11075853316902373 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.5467488393827806 Training 2.64838599448946 DIfference -0.10163715510667926 max_depth: 1 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.553005319595104 Training 2.6507588070752615 DIfference -0.09775348748015755 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 0 testing 3.375366641051369 Training 1.8209805660247285 DIfference 1.5543860750266405 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 1 testing 3.375366641051369 Training 1.8209805660247285 DIfference 1.5543860750266405 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 2 testing 3.375366641051369 Training 1.8209805660247285 DIfference 1.5543860750266405 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 3 testing 3.1861587610386777 Training 1.8649656744492757 DIfference 1.321193086589402 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 4 testing 3.2537925548211204 Training 1.8927985560174825 DIfference 1.360993998803638 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 5 testing 3.317822981806239 Training 1.9063952155049062 DIfference 1.4114277663013328 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 6 testing 3.204814542742679 Training 2.0008188584146813 DIfference 1.2039956843279978 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 7 testing 3.3408286194840913 Training 1.95741912725692 DIfference 1.3834094922271714 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 8 testing 3.341764838650124 Training 1.975220949541674 DIfference 1.36654388910845 max_depth: 1 subsample: 0.6 eta: 1 min_child_weight: 9 testing 3.5648357481521087 Training 2.000042516608826 DIfference 1.5647932315432826 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 0 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 1 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 2 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 3 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 4 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 5 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 6 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 7 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 8 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.01 min_child_weight: 9 testing 3.9079256334283854 Training 4.347392770018066 DIfference -0.43946713658968095 max_depth: 1 subsample: 0.65 eta: 0.1 min_child_weight: 0 testing 2.4194311866711358 Training 2.609861118105861 DIfference -0.1904299314347253 max_depth: 1 subsample: 0.65 eta: 0.1 min_child_weight: 1 testing 2.4194311866711358 Training 2.609861118105861 DIfference -0.1904299314347253 max_depth: 1 subsample: 0.65 eta: 0.1 min_child_weight: 2 testing 2.4194311866711358 Training 2.609861118105861 DIfference -0.1904299314347253 max_depth: 1 subsample: 0.65 eta: 0.1 min_child_weight: 3 testing 2.5449865741829854 Training 2.632644931265774 DIfference -0.08765835708278846 max_depth: 1 subsample: 0.65 eta: 0.1 min_child_weight: 4 testing 2.545075766573427 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Training 0.4052133351952458 DIfference 6.312586277806743 max_depth: 3 subsample: 0.5 eta: 1 min_child_weight: 8 testing 6.921816335170297 Training 0.3463112661110548 DIfference 6.575505069059242 max_depth: 3 subsample: 0.5 eta: 1 min_child_weight: 9 testing 6.967381501180353 Training 0.5293888709184507 DIfference 6.437992630261903 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 3.0600375585316213 Training 3.175737944175489 DIfference -0.11570038564386786 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 3.0600375585316213 Training 3.175737944175489 DIfference -0.11570038564386786 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 3.049389427161077 Training 3.18508853424832 DIfference -0.1356991070872433 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 3.05831352994428 Training 3.1958236592588944 DIfference -0.13751012931461437 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 3.037104909872869 Training 3.20608062987578 DIfference -0.16897572000291117 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 3.0061500482319388 Training 3.220064143709735 DIfference -0.21391409547779627 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 2.997728007292608 Training 3.222356884316024 DIfference -0.22462887702341616 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 3.0094706229923758 Training 3.230450248186632 DIfference -0.22097962519425618 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 2.981986778235296 Training 3.2378041595841447 DIfference -0.2558173813488489 max_depth: 3 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 2.9881384086271283 Training 3.2459738908309697 DIfference -0.25783548220384134 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.4748234872764443 Training 1.0384769372021159 DIfference 1.4363465500743284 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.4748234872764443 Training 1.0384769372021159 DIfference 1.4363465500743284 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.5982866916630885 Training 1.029503646706386 DIfference 1.5687830449567024 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.4615519995510113 Training 1.051296135432656 DIfference 1.4102558641183554 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.6237174033827615 Training 1.0748811736689985 DIfference 1.548836229713763 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.463986930361716 Training 1.1275489435285433 DIfference 1.3364379868331726 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.5065804977260995 Training 1.153986775829819 DIfference 1.3525937218962805 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.368187940592179 Training 1.2087500299482297 DIfference 1.1594379106439494 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.449596765980823 Training 1.2420064198771594 DIfference 1.2075903461036634 max_depth: 3 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.4808974122919607 Training 1.269211376837403 DIfference 1.2116860354545578 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 0 testing 4.521936428063782 Training 0.2433391404713297 DIfference 4.2785972875924525 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 1 testing 4.521936428063782 Training 0.2433391404713297 DIfference 4.2785972875924525 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 2 testing 5.0583576531207655 Training 0.23175806504958826 DIfference 4.826599588071177 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 3 testing 5.83523720644298 Training 0.23614072031082792 DIfference 5.599096486132153 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 4 testing 5.1706493191595655 Training 0.238724830675508 DIfference 4.931924488484057 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 5 testing 5.821251878229669 Training 0.2454545522794231 DIfference 5.575797325950246 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 6 testing 6.152948676102096 Training 0.2592215612634189 DIfference 5.893727114838677 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 7 testing 6.096268742327811 Training 0.2631605869986945 DIfference 5.833108155329117 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 8 testing 5.649424574832665 Training 0.24943386346955473 DIfference 5.3999907113631105 max_depth: 3 subsample: 0.55 eta: 1 min_child_weight: 9 testing 5.468775666720466 Training 0.2509129739418212 DIfference 5.217862692778645 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 3.0690448932407888 Training 3.163984951759792 DIfference -0.09494005851900322 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 3.0690448932407888 Training 3.163984951759792 DIfference -0.09494005851900322 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 3.036060135817388 Training 3.1655645400117565 DIfference -0.12950440419436848 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 3.0381882362125907 Training 3.173820617991603 DIfference -0.13563238177901216 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 3.00855869576917 Training 3.1908260742797414 DIfference -0.1822673785105713 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 2.997514837241033 Training 3.2059144360194396 DIfference -0.20839959877840641 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 2.9894755773304498 Training 3.2089965840439416 DIfference -0.21952100671349184 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 2.998366945242742 Training 3.2141645229111115 DIfference -0.21579757766836938 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 2.9759900026081594 Training 3.2222998407151966 DIfference -0.24630983810703722 max_depth: 3 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 2.9868722610233815 Training 3.229640291847237 DIfference -0.24276803082385534 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.3750548085954506 Training 0.9954570711047078 DIfference 1.3795977374907427 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.3750548085954506 Training 0.9954570711047078 DIfference 1.3795977374907427 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.596617339126533 Training 1.0311420420055382 DIfference 1.5654752971209946 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.5230701036343817 Training 1.0340672775520943 DIfference 1.4890028260822874 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.490884434693726 Training 1.0759598807302406 DIfference 1.4149245539634852 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.546605986583745 Training 1.0791751592523522 DIfference 1.4674308273313927 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.6034546646813395 Training 1.1182441917661992 DIfference 1.4852104729151403 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.6207763128273656 Training 1.1644933284169787 DIfference 1.4562829844103868 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.642322970373789 Training 1.1822118939857722 DIfference 1.4601110763880167 max_depth: 3 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.700551167485537 Training 1.1839419156830344 DIfference 1.5166092518025025 max_depth: 3 subsample: 0.6 eta: 1 min_child_weight: 0 testing 5.062195605266607 Training 0.23065545913478774 DIfference 4.831540146131819 max_depth: 3 subsample: 0.6 eta: 1 min_child_weight: 1 testing 5.062195605266607 Training 0.23065545913478774 DIfference 4.831540146131819 max_depth: 3 subsample: 0.6 eta: 1 min_child_weight: 2 testing 5.325097862264374 Training 0.2353572702410424 DIfference 5.089740592023332 max_depth: 3 subsample: 0.6 eta: 1 min_child_weight: 3 testing 4.52001159999636 Training 0.22326304996644872 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Training 1.0097526768106035 DIfference 1.594360619195504 max_depth: 3 subsample: 0.8 eta: 0.1 min_child_weight: 6 testing 2.600509681686526 Training 1.059913342372359 DIfference 1.540596339314167 max_depth: 3 subsample: 0.8 eta: 0.1 min_child_weight: 7 testing 2.6131542262912264 Training 1.0458742273182402 DIfference 1.5672799989729862 max_depth: 3 subsample: 0.8 eta: 0.1 min_child_weight: 8 testing 2.4973203983099665 Training 1.0784187291554796 DIfference 1.418901669154487 max_depth: 3 subsample: 0.8 eta: 0.1 min_child_weight: 9 testing 2.588682805042481 Training 1.1108033996799753 DIfference 1.4778794053625057 max_depth: 3 subsample: 0.8 eta: 1 min_child_weight: 0 testing 4.296103935217252 Training 0.2392433995135232 DIfference 4.056860535703729 max_depth: 3 subsample: 0.8 eta: 1 min_child_weight: 1 testing 4.296103935217252 Training 0.2392433995135232 DIfference 4.056860535703729 max_depth: 3 subsample: 0.8 eta: 1 min_child_weight: 2 testing 4.56890190790291 Training 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Training 1.0157299018038126 DIfference 1.7299772076444546 max_depth: 3 subsample: 0.85 eta: 0.1 min_child_weight: 4 testing 2.7021004581416492 Training 1.0259505552317327 DIfference 1.6761499029099165 max_depth: 3 subsample: 0.85 eta: 0.1 min_child_weight: 5 testing 2.7076780986681115 Training 1.0513540737900056 DIfference 1.656324024878106 max_depth: 3 subsample: 0.85 eta: 0.1 min_child_weight: 6 testing 2.5660522279620634 Training 1.0261347044918996 DIfference 1.5399175234701639 max_depth: 3 subsample: 0.85 eta: 0.1 min_child_weight: 7 testing 2.6994913587521294 Training 1.094706729049277 DIfference 1.6047846297028525 max_depth: 3 subsample: 0.85 eta: 0.1 min_child_weight: 8 testing 2.6380263023253065 Training 1.1164575133369201 DIfference 1.5215687889883864 max_depth: 3 subsample: 0.85 eta: 0.1 min_child_weight: 9 testing 2.7106651534966657 Training 1.138591425325204 DIfference 1.5720737281714616 max_depth: 3 subsample: 0.85 eta: 1 min_child_weight: 0 testing 4.306227608170593 Training 0.24965376493314073 DIfference 4.056573843237452 max_depth: 3 subsample: 0.85 eta: 1 min_child_weight: 1 testing 4.306227608170593 Training 0.24965376493314073 DIfference 4.056573843237452 max_depth: 3 subsample: 0.85 eta: 1 min_child_weight: 2 testing 3.8073409328062553 Training 0.23938278082835798 DIfference 3.5679581519778973 max_depth: 3 subsample: 0.85 eta: 1 min_child_weight: 3 testing 4.38380864142091 Training 0.2386596074224346 DIfference 4.145149033998476 max_depth: 3 subsample: 0.85 eta: 1 min_child_weight: 4 testing 4.562457771756454 Training 0.23927192651770182 DIfference 4.3231858452387515 max_depth: 3 subsample: 0.85 eta: 1 min_child_weight: 5 testing 4.28611589287757 Training 0.23603599596923838 DIfference 4.050079896908332 max_depth: 3 subsample: 0.85 eta: 1 min_child_weight: 6 testing 4.320796370023163 Training 0.24989932654684202 DIfference 4.070897043476321 max_depth: 3 subsample: 0.85 eta: 1 min_child_weight: 7 testing 4.662313640100183 Training 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Training 3.1559761725469597 DIfference -0.03704013933181871 max_depth: 3 subsample: 0.9 eta: 0.01 min_child_weight: 5 testing 3.0884022903104777 Training 3.1625640562838977 DIfference -0.07416176597341995 max_depth: 3 subsample: 0.9 eta: 0.01 min_child_weight: 6 testing 3.10550853725872 Training 3.17294087917932 DIfference -0.06743234192059999 max_depth: 3 subsample: 0.9 eta: 0.01 min_child_weight: 7 testing 3.093023676838493 Training 3.177628575212374 DIfference -0.08460489837388119 max_depth: 3 subsample: 0.9 eta: 0.01 min_child_weight: 8 testing 3.052671213116264 Training 3.1806044152510973 DIfference -0.1279332021348334 max_depth: 3 subsample: 0.9 eta: 0.01 min_child_weight: 9 testing 3.038326926197624 Training 3.1859527607952867 DIfference -0.14762583459766265 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 0 testing 2.501998810755322 Training 0.9641641860129312 DIfference 1.5378346247423909 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 1 testing 2.501998810755322 Training 0.9641641860129312 DIfference 1.5378346247423909 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 2 testing 2.4775105991226156 Training 0.9729715192690491 DIfference 1.5045390798535665 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 3 testing 2.6475811147422066 Training 0.9723653782288441 DIfference 1.6752157365133624 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 4 testing 2.562099632242462 Training 0.997220203147218 DIfference 1.5648794290952437 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 5 testing 2.586962215398671 Training 1.021433956310567 DIfference 1.5655282590881041 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 6 testing 2.603490064590005 Training 1.0830440939882666 DIfference 1.5204459706017386 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 7 testing 2.4467156324128156 Training 1.095793320343364 DIfference 1.3509223120694516 max_depth: 3 subsample: 0.9 eta: 0.1 min_child_weight: 8 testing 2.5347892045800107 Training 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DIfference 3.8725917565190078 max_depth: 3 subsample: 0.9 eta: 1 min_child_weight: 6 testing 3.8374111046607142 Training 0.24160564687077163 DIfference 3.5958054577899428 max_depth: 3 subsample: 0.9 eta: 1 min_child_weight: 7 testing 3.561748169414932 Training 0.233862455525539 DIfference 3.327885713889393 max_depth: 3 subsample: 0.9 eta: 1 min_child_weight: 8 testing 3.9116894679085816 Training 0.2593801500573237 DIfference 3.652309317851258 max_depth: 3 subsample: 0.9 eta: 1 min_child_weight: 9 testing 3.5577974238374734 Training 0.25837023470473164 DIfference 3.299427189132742 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 0 testing 2.9650567226170095 Training 2.924459410982672 DIfference 0.04059731163433744 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 1 testing 2.9650567226170095 Training 2.924459410982672 DIfference 0.04059731163433744 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 2 testing 2.9121242923487443 Training 2.9512608679632346 DIfference -0.039136575614490354 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 3 testing 2.8772123260248916 Training 2.9736433889600447 DIfference -0.09643106293515302 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 4 testing 2.8787331704807 Training 3.0005505762101774 DIfference -0.12181740572947719 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 5 testing 2.8751068830199076 Training 3.018345637109855 DIfference -0.14323875408994757 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 6 testing 2.879607488604961 Training 3.0399496874267546 DIfference -0.16034219882179368 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 7 testing 2.872538854571758 Training 3.063677635826429 DIfference -0.1911387812546712 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 8 testing 2.8643396548985036 Training 3.0756555352709256 DIfference -0.211315880372422 max_depth: 4 subsample: 0.5 eta: 0.01 min_child_weight: 9 testing 2.8490011625050102 Training 3.0864330736765018 DIfference -0.23743191117149154 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 0 testing 2.6084336853062267 Training 0.49229294789515227 DIfference 2.1161407374110746 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 1 testing 2.6084336853062267 Training 0.49229294789515227 DIfference 2.1161407374110746 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 2 testing 2.6011713437910657 Training 0.5075632052056285 DIfference 2.093608138585437 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 3 testing 2.5449286084214693 Training 0.5252173688249766 DIfference 2.019711239596493 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 4 testing 2.646430644992506 Training 0.5651803572519889 DIfference 2.0812502877405175 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 5 testing 2.603123663907172 Training 0.5953163185777763 DIfference 2.007807345329396 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 6 testing 2.593884900090052 Training 0.6594463348996619 DIfference 1.9344385651903901 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 7 testing 2.6175492477312217 Training 0.7053082437125138 DIfference 1.912241004018708 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 8 testing 2.6497793903166893 Training 0.7294113792427298 DIfference 1.9203680110739594 max_depth: 4 subsample: 0.5 eta: 0.1 min_child_weight: 9 testing 2.7451888809038794 Training 0.7915277208382677 DIfference 1.9536611600656117 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 0 testing 7.083631739293923 Training 0.2298591357241902 DIfference 6.853772603569733 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 1 testing 7.083631739293923 Training 0.2298591357241902 DIfference 6.853772603569733 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 2 testing 6.639629443647573 Training 0.22388838296626798 DIfference 6.415741060681305 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 3 testing 6.523448394768638 Training 0.22329427162055962 DIfference 6.300154123148078 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 4 testing 7.958601822837954 Training 0.22105202797748563 DIfference 7.737549794860469 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 5 testing 7.04750854872982 Training 0.21976956732752215 DIfference 6.827738981402298 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 6 testing 7.074588371737628 Training 0.23269165076004963 DIfference 6.841896720977578 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 7 testing 6.916656615253305 Training 0.24187119061308396 DIfference 6.674785424640221 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 8 testing 7.578273187397281 Training 0.2471713608635279 DIfference 7.331101826533753 max_depth: 4 subsample: 0.5 eta: 1 min_child_weight: 9 testing 7.460766507155495 Training 0.24380993504439377 DIfference 7.216956572111101 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 2.979520433401922 Training 2.9088102612980746 DIfference 0.07071017210384722 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 2.979520433401922 Training 2.9088102612980746 DIfference 0.07071017210384722 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 2.926116245245794 Training 2.926406872003443 DIfference -0.00029062675764901513 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 2.9088741950748953 Training 2.9503120861042085 DIfference -0.04143789102931317 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 2.8828946742753034 Training 2.9664721124417457 DIfference -0.08357743816644225 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 2.845673149084905 Training 3.000359399793928 DIfference -0.1546862507090232 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 2.8558034343470355 Training 3.018914832855161 DIfference -0.1631113985081254 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 2.8782568864582574 Training 3.0348346578785117 DIfference -0.1565777714202543 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 2.874071042035939 Training 3.0465615805497186 DIfference -0.1724905385137796 max_depth: 4 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 2.8689486770366783 Training 3.0590279630010224 DIfference -0.1900792859643441 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.544231566420058 Training 0.4792161994070436 DIfference 2.0650153670130145 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.544231566420058 Training 0.4792161994070436 DIfference 2.0650153670130145 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.4411987323488575 Training 0.48966824087288435 DIfference 1.9515304914759732 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.5734714312420692 Training 0.5013191000765397 DIfference 2.0721523311655297 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.608832278236514 Training 0.533881628109763 DIfference 2.074950650126751 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.5139730706287082 Training 0.5637465071269414 DIfference 1.9502265635017668 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.5300288457598072 Training 0.6193563543583473 DIfference 1.91067249140146 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.5344236545206513 Training 0.6323302112778442 DIfference 1.9020934432428072 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.418994041433325 Training 0.6947494620327941 DIfference 1.7242445794005308 max_depth: 4 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.4037089919729624 Training 0.7409149246872403 DIfference 1.6627940672857222 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 0 testing 6.849564128863858 Training 0.20342922512726444 DIfference 6.646134903736594 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 1 testing 6.849564128863858 Training 0.20342922512726444 DIfference 6.646134903736594 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 2 testing 6.123914331913693 Training 0.2224510509171523 DIfference 5.90146328099654 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 3 testing 6.523362837784225 Training 0.22425528303720058 DIfference 6.2991075547470246 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 4 testing 6.066694486135384 Training 0.20769551192125718 DIfference 5.858998974214127 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 5 testing 6.024007563601481 Training 0.2197244247395752 DIfference 5.804283138861906 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 6 testing 5.72235684915795 Training 0.2080321381864552 DIfference 5.514324710971494 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 7 testing 6.826748851750745 Training 0.22524485594799948 DIfference 6.601503995802745 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 8 testing 6.476949486281955 Training 0.21981568203126597 DIfference 6.25713380425069 max_depth: 4 subsample: 0.55 eta: 1 min_child_weight: 9 testing 5.692079000925878 Training 0.2200718356580991 DIfference 5.472007165267779 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 2.984364240622381 Training 2.8762603951540466 DIfference 0.10810384546833429 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 2.984364240622381 Training 2.8762603951540466 DIfference 0.10810384546833429 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 2.946092741942266 Training 2.90431363582223 DIfference 0.04177910612003588 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 2.911154606792843 Training 2.9313079578582095 DIfference -0.020153351065366643 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 2.9277333125879523 Training 2.951215879863594 DIfference -0.023482567275641575 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 2.9008514375484085 Training 2.976398890069686 DIfference -0.07554745252127759 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 2.8688072919554544 Training 2.9923956997097574 DIfference -0.12358840775430302 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 2.847364058467792 Training 3.014054912352003 DIfference -0.1666908538842109 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 2.8549093150824776 Training 3.0267896548340407 DIfference -0.17188033975156314 max_depth: 4 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 2.8831064958299977 Training 3.0352724968559213 DIfference -0.1521660010259236 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.449886599538149 Training 0.4390267560814714 DIfference 2.010859843456678 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.449886599538149 Training 0.4390267560814714 DIfference 2.010859843456678 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.456444192881463 Training 0.4439296670607291 DIfference 2.012514525820734 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.522502703644568 Training 0.47163917276904815 DIfference 2.05086353087552 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.479115775093669 Training 0.49516200295313156 DIfference 1.9839537721405374 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.451594619714888 Training 0.5476837917049933 DIfference 1.9039108280098946 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.536401238437975 Training 0.5872722640154987 DIfference 1.949128974422476 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.687742270476883 Training 0.6033083928529069 DIfference 2.0844338776239764 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.6798380055173765 Training 0.6601042384734481 DIfference 2.0197337670439284 max_depth: 4 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.4902278790425045 Training 0.6883268686528835 DIfference 1.8019010103896211 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 0 testing 5.652425416460028 Training 0.22126974271248198 DIfference 5.431155673747546 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 1 testing 5.652425416460028 Training 0.22126974271248198 DIfference 5.431155673747546 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 2 testing 4.42216746280319 Training 0.22275569508007417 DIfference 4.199411767723117 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 3 testing 5.443682660994819 Training 0.2019414857831887 DIfference 5.24174117521163 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 4 testing 5.759897636860842 Training 0.22213353018742055 DIfference 5.537764106673421 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 5 testing 5.538488653645618 Training 0.20738847818251493 DIfference 5.331100175463103 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 6 testing 5.04898829269805 Training 0.21158002953743563 DIfference 4.837408263160615 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 7 testing 5.192479368188652 Training 0.2216275010141544 DIfference 4.970851867174497 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 8 testing 4.971342648012796 Training 0.20487694496987388 DIfference 4.766465703042923 max_depth: 4 subsample: 0.6 eta: 1 min_child_weight: 9 testing 5.792179883940844 Training 0.23584003104414378 DIfference 5.5563398528967 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 0 testing 3.0127102784870656 Training 2.8725623580045068 DIfference 0.14014792048255886 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 1 testing 3.0127102784870656 Training 2.8725623580045068 DIfference 0.14014792048255886 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 2 testing 2.9304355077503716 Training 2.893298553993615 DIfference 0.03713695375675652 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 3 testing 2.9392789220612032 Training 2.9148395669685367 DIfference 0.02443935509266648 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 4 testing 2.901588075613836 Training 2.9313996375370253 DIfference -0.029811561923189345 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 5 testing 2.8835068378190045 Training 2.94699084037889 DIfference -0.06348400255988551 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 6 testing 2.879138224577764 Training 2.964846250637331 DIfference -0.08570802605956684 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 7 testing 2.867288964247564 Training 2.990324722923752 DIfference -0.12303575867618832 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 8 testing 2.853702703450108 Training 3.006412320877684 DIfference -0.15270961742757594 max_depth: 4 subsample: 0.65 eta: 0.01 min_child_weight: 9 testing 2.8667118005512746 Training 3.0174157454153625 DIfference -0.1507039448640879 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 0 testing 2.5037261962716 Training 0.43298031363584516 DIfference 2.070745882635755 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 1 testing 2.5037261962716 Training 0.43298031363584516 DIfference 2.070745882635755 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 2 testing 2.4762851686624345 Training 0.45226367109248206 DIfference 2.0240214975699526 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 3 testing 2.396675808884902 Training 0.4689912193791113 DIfference 1.9276845895057906 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 4 testing 2.4730674257094507 Training 0.48373932008010645 DIfference 1.9893281056293444 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 5 testing 2.53817939949804 Training 0.5398347986680972 DIfference 1.9983446008299426 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 6 testing 2.530483695020666 Training 0.5586254765331331 DIfference 1.971858218487533 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 7 testing 2.610087687493069 Training 0.5785796758408348 DIfference 2.0315080116522344 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 8 testing 2.6833225350186694 Training 0.6093582019390952 DIfference 2.0739643330795743 max_depth: 4 subsample: 0.65 eta: 0.1 min_child_weight: 9 testing 2.4884946145757567 Training 0.6558376866535076 DIfference 1.832656927922249 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 0 testing 5.00730776974815 Training 0.23448100086016993 DIfference 4.772826768887979 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 1 testing 5.00730776974815 Training 0.23448100086016993 DIfference 4.772826768887979 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 2 testing 4.344903613073984 Training 0.20705238486536676 DIfference 4.137851228208617 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 3 testing 5.6374291705957145 Training 0.21517154974345531 DIfference 5.4222576208522595 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 4 testing 3.99216479275492 Training 0.2236253927448868 DIfference 3.7685394000100336 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 5 testing 3.9155357394192833 Training 0.21455553609412165 DIfference 3.7009802033251615 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 6 testing 5.114009684073972 Training 0.2390536763343132 DIfference 4.874956007739659 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 7 testing 4.178240533807548 Training 0.21643619739140074 DIfference 3.9618043364161473 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 8 testing 5.109349893551553 Training 0.21623545694294283 DIfference 4.8931144366086095 max_depth: 4 subsample: 0.65 eta: 1 min_child_weight: 9 testing 5.171213354048087 Training 0.23321829370688646 DIfference 4.9379950603412 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 0 testing 2.9910457029182 Training 2.859298087961765 DIfference 0.13174761495643494 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 1 testing 2.9910457029182 Training 2.859298087961765 DIfference 0.13174761495643494 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 2 testing 2.962945307715563 Training 2.875169732939038 DIfference 0.0877755747765252 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 3 testing 2.948295795422746 Training 2.9033963291336677 DIfference 0.04489946628907804 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 4 testing 2.9356377496558705 Training 2.917204778668626 DIfference 0.018432970987244612 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 5 testing 2.9306790761707817 Training 2.9353260839241555 DIfference -0.004647007753373789 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 6 testing 2.909276331885485 Training 2.9579360735137015 DIfference -0.0486597416282164 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 7 testing 2.8878143205482045 Training 2.970524542913255 DIfference -0.08271022236505043 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 8 testing 2.8831108960846903 Training 2.995207876414578 DIfference -0.11209698032988769 max_depth: 4 subsample: 0.7 eta: 0.01 min_child_weight: 9 testing 2.884484926197911 Training 3.007212612787003 DIfference -0.12272768658909206 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 0 testing 2.466280364029808 Training 0.42544638254007117 DIfference 2.0408339814897367 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 1 testing 2.466280364029808 Training 0.42544638254007117 DIfference 2.0408339814897367 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 2 testing 2.594935366610298 Training 0.4029700388989618 DIfference 2.1919653277113365 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 3 testing 2.3822897462698167 Training 0.4290309618990351 DIfference 1.9532587843707816 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 4 testing 2.5331349744752516 Training 0.46573235703399407 DIfference 2.0674026174412576 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 5 testing 2.5663409128028434 Training 0.49830199444356066 DIfference 2.068038918359283 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 6 testing 2.5171048183285167 Training 0.5420619637821801 DIfference 1.9750428545463365 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 7 testing 2.4001173562777693 Training 0.5632326574465777 DIfference 1.8368846988311915 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 8 testing 2.414928561664419 Training 0.5967028682107209 DIfference 1.8182256934536982 max_depth: 4 subsample: 0.7 eta: 0.1 min_child_weight: 9 testing 2.4499888138787353 Training 0.6521497580339201 DIfference 1.7978390558448152 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 0 testing 4.766796666168375 Training 0.22870951869731976 DIfference 4.538087147471055 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 1 testing 4.766796666168375 Training 0.22870951869731976 DIfference 4.538087147471055 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 2 testing 3.824301275162725 Training 0.216279987019435 DIfference 3.6080212881432896 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 3 testing 4.66142827080912 Training 0.22633502170857456 DIfference 4.435093249100546 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 4 testing 3.848198469617637 Training 0.22735125611199894 DIfference 3.620847213505638 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 5 testing 4.723201738338685 Training 0.21981239075668985 DIfference 4.503389347581995 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 6 testing 4.123488236375851 Training 0.21966544807785088 DIfference 3.9038227882980006 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 7 testing 4.643591087317327 Training 0.21906169065300168 DIfference 4.424529396664326 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 8 testing 4.236597202747362 Training 0.21466954764651341 DIfference 4.021927655100848 max_depth: 4 subsample: 0.7 eta: 1 min_child_weight: 9 testing 4.269319118495332 Training 0.22318939621586145 DIfference 4.0461297222794705 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 0 testing 3.0057461671589407 Training 2.8410485621528805 DIfference 0.16469760500606023 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 1 testing 3.0057461671589407 Training 2.8410485621528805 DIfference 0.16469760500606023 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 2 testing 2.9979838981467766 Training 2.869470227024673 DIfference 0.12851367112210355 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 3 testing 3.027069128974108 Training 2.8876149679779903 DIfference 0.13945416099611752 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 4 testing 2.9815908126591237 Training 2.906651065080789 DIfference 0.07493974757833488 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 5 testing 2.9317951612232718 Training 2.9184221106620196 DIfference 0.013373050561252153 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 6 testing 2.8935508517955895 Training 2.944221640796038 DIfference -0.050670789000448746 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 7 testing 2.8941127948521173 Training 2.9593421321413995 DIfference -0.06522933728928226 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 8 testing 2.875949351285817 Training 2.967027217330825 DIfference -0.091077866045008 max_depth: 4 subsample: 0.75 eta: 0.01 min_child_weight: 9 testing 2.880614156689262 Training 2.989566808486254 DIfference -0.10895265179699187 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 0 testing 2.425901594158495 Training 0.3982562821824104 DIfference 2.0276453119760847 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 1 testing 2.425901594158495 Training 0.3982562821824104 DIfference 2.0276453119760847 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 2 testing 2.43850039766985 Training 0.4117810733228301 DIfference 2.02671932434702 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 3 testing 2.546791385643883 Training 0.4435260570439924 DIfference 2.1032653285998903 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 4 testing 2.572319044120377 Training 0.4671113498107944 DIfference 2.1052076943095823 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 5 testing 2.457003856654046 Training 0.4865837736779617 DIfference 1.9704200829760845 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 6 testing 2.5094815568823834 Training 0.5153177607920952 DIfference 1.9941637960902883 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 7 testing 2.430743477790384 Training 0.5521824848980436 DIfference 1.8785609928923401 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 8 testing 2.5480586585763376 Training 0.5745513334909144 DIfference 1.9735073250854231 max_depth: 4 subsample: 0.75 eta: 0.1 min_child_weight: 9 testing 2.5254738788527904 Training 0.5980926852867318 DIfference 1.9273811935660587 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 0 testing 4.475382099644048 Training 0.20043138620417772 DIfference 4.27495071343987 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 1 testing 4.475382099644048 Training 0.20043138620417772 DIfference 4.27495071343987 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 2 testing 4.7069438924489075 Training 0.2189644689619955 DIfference 4.487979423486912 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 3 testing 5.418316332838731 Training 0.22742150328639482 DIfference 5.190894829552336 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 4 testing 4.09749153276789 Training 0.22164359669744346 DIfference 3.8758479360704468 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 5 testing 5.141246290196432 Training 0.21418782849020016 DIfference 4.927058461706232 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 6 testing 4.651229714351939 Training 0.22601580038511504 DIfference 4.425213913966824 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 7 testing 3.4400758838339245 Training 0.22977112909106331 DIfference 3.2103047547428614 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 8 testing 4.757804339629365 Training 0.22327237147579176 DIfference 4.534531968153573 max_depth: 4 subsample: 0.75 eta: 1 min_child_weight: 9 testing 4.878438933350845 Training 0.23022851668712166 DIfference 4.648210416663723 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 0 testing 2.972466010070639 Training 2.828228997436559 DIfference 0.14423701263407995 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 1 testing 2.972466010070639 Training 2.828228997436559 DIfference 0.14423701263407995 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 2 testing 2.985202254279284 Training 2.8449164521919252 DIfference 0.14028580208735875 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 3 testing 3.0070199861365836 Training 2.8636167003799025 DIfference 0.14340328575668115 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 4 testing 2.968616665824084 Training 2.8903138170199885 DIfference 0.07830284880409533 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 5 testing 2.942349089606432 Training 2.9099890960018255 DIfference 0.03235999360460662 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 6 testing 2.932650390599156 Training 2.9260695129982195 DIfference 0.006580877600936397 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 7 testing 2.9131797466019633 Training 2.943276487136932 DIfference -0.030096740534968802 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 8 testing 2.9060646199912297 Training 2.9545034856768324 DIfference -0.04843886568560274 max_depth: 4 subsample: 0.8 eta: 0.01 min_child_weight: 9 testing 2.895124761556508 Training 2.9724078673235557 DIfference -0.07728310576704756 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 0 testing 2.449202946649166 Training 0.3887052297217047 DIfference 2.060497716927461 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 1 testing 2.449202946649166 Training 0.3887052297217047 DIfference 2.060497716927461 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 2 testing 2.6666005363396836 Training 0.40210568953900494 DIfference 2.2644948468006785 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 3 testing 2.8287936034204906 Training 0.42899485737887316 DIfference 2.3997987460416175 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 4 testing 2.6504424943530465 Training 0.43639292448448636 DIfference 2.21404956986856 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 5 testing 2.6684352550364565 Training 0.4586585761849872 DIfference 2.2097766788514694 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 6 testing 2.5797912330541295 Training 0.500967458043144 DIfference 2.0788237750109855 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 7 testing 2.552711584063945 Training 0.5215467049365139 DIfference 2.0311648791274313 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 8 testing 2.522912936209468 Training 0.5633226737043717 DIfference 1.9595902625050963 max_depth: 4 subsample: 0.8 eta: 0.1 min_child_weight: 9 testing 2.5923748645640443 Training 0.5662244519270543 DIfference 2.02615041263699 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 0 testing 3.770268212299561 Training 0.21761843214303048 DIfference 3.5526497801565307 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 1 testing 3.770268212299561 Training 0.21761843214303048 DIfference 3.5526497801565307 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 2 testing 4.867090660525719 Training 0.23347790978538494 DIfference 4.633612750740334 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 3 testing 3.5866663818305824 Training 0.23177194389281794 DIfference 3.3548944379377645 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 4 testing 4.5247083119989835 Training 0.21877635976480733 DIfference 4.305931952234176 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 5 testing 4.461017904273467 Training 0.22977594816022448 DIfference 4.231241956113243 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 6 testing 4.00460352319642 Training 0.23153301827324968 DIfference 3.77307050492317 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 7 testing 4.419259922014317 Training 0.22475619235774502 DIfference 4.194503729656572 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 8 testing 4.062031364865834 Training 0.21562218672285477 DIfference 3.846409178142979 max_depth: 4 subsample: 0.8 eta: 1 min_child_weight: 9 testing 4.157575639226707 Training 0.2142849730961542 DIfference 3.9432906661305527 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 0 testing 3.0170958413917104 Training 2.8224339003014998 DIfference 0.19466194109021062 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 1 testing 3.0170958413917104 Training 2.8224339003014998 DIfference 0.19466194109021062 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 2 testing 3.031727927183965 Training 2.8375718641263017 DIfference 0.19415606305766353 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 3 testing 3.0601555480796376 Training 2.86484420362653 DIfference 0.1953113444531076 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 4 testing 3.0203270091849843 Training 2.8892342705163174 DIfference 0.13109273866866689 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 5 testing 2.9860848836658986 Training 2.9037256775928353 DIfference 0.08235920607306335 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 6 testing 2.9876252107380425 Training 2.924140689738043 DIfference 0.06348452099999946 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 7 testing 2.9806199922400993 Training 2.937990058895149 DIfference 0.042629933344950466 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 8 testing 2.9417503251868764 Training 2.9488446121194607 DIfference -0.007094286932584293 max_depth: 4 subsample: 0.85 eta: 0.01 min_child_weight: 9 testing 2.9199748887855095 Training 2.9621449341234336 DIfference -0.04217004533792412 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 0 testing 2.4921308755816427 Training 0.4238540510181338 DIfference 2.068276824563509 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 1 testing 2.4921308755816427 Training 0.4238540510181338 DIfference 2.068276824563509 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 2 testing 2.458600340835983 Training 0.4033030343707651 DIfference 2.055297306465218 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 3 testing 2.660333950043423 Training 0.4410074903267539 DIfference 2.2193264597166693 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 4 testing 2.68419073104742 Training 0.4555553311895993 DIfference 2.2286353998578208 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 5 testing 2.666195816040272 Training 0.48267424086289895 DIfference 2.183521575177373 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 6 testing 2.535885512357345 Training 0.5065972519482279 DIfference 2.029288260409117 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 7 testing 2.694034135801485 Training 0.5335568784697292 DIfference 2.1604772573317557 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 8 testing 2.5355115241894963 Training 0.5813641070336517 DIfference 1.9541474171558446 max_depth: 4 subsample: 0.85 eta: 0.1 min_child_weight: 9 testing 2.599325562483864 Training 0.5992552844807506 DIfference 2.000070278003113 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 0 testing 4.279172708495753 Training 0.22707879935106676 DIfference 4.052093909144686 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 1 testing 4.279172708495753 Training 0.22707879935106676 DIfference 4.052093909144686 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 2 testing 4.513354568445356 Training 0.22027849827815468 DIfference 4.293076070167202 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 3 testing 4.389798032253748 Training 0.2289689225054139 DIfference 4.1608291097483345 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 4 testing 4.40905854984303 Training 0.2102537375021105 DIfference 4.198804812340919 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 5 testing 4.103124044422293 Training 0.23505943441996352 DIfference 3.868064610002329 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 6 testing 3.8570943450613413 Training 0.23160995573788468 DIfference 3.6254843893234567 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 7 testing 3.9712141198746393 Training 0.2185486096319639 DIfference 3.7526655102426756 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 8 testing 3.8921136559860314 Training 0.24865496878305243 DIfference 3.643458687202979 max_depth: 4 subsample: 0.85 eta: 1 min_child_weight: 9 testing 3.717460013862001 Training 0.2303950743180596 DIfference 3.4870649395439415 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 0 testing 3.013758076640079 Training 2.8183699076917645 DIfference 0.19538816894831434 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 1 testing 3.013758076640079 Training 2.8183699076917645 DIfference 0.19538816894831434 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 2 testing 2.9982972564466763 Training 2.8360501463111074 DIfference 0.16224711013556892 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 3 testing 3.0252639446000105 Training 2.8609602843346593 DIfference 0.16430366026535115 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 4 testing 2.9862094983865974 Training 2.8773987456393013 DIfference 0.10881075274729612 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 5 testing 2.957809531193925 Training 2.8885912084525143 DIfference 0.06921832274141071 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 6 testing 2.9727575197059197 Training 2.9052024416353865 DIfference 0.06755507807053318 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 7 testing 2.950517189007951 Training 2.9172385472157556 DIfference 0.03327864179219553 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 8 testing 2.9479924134968316 Training 2.9331159309742767 DIfference 0.014876482522554912 max_depth: 4 subsample: 0.9 eta: 0.01 min_child_weight: 9 testing 2.9186116389988457 Training 2.9468433441542503 DIfference -0.02823170515540463 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 0 testing 2.5955331916629802 Training 0.42323500274602943 DIfference 2.172298188916951 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 1 testing 2.5955331916629802 Training 0.42323500274602943 DIfference 2.172298188916951 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 2 testing 2.5433617010188754 Training 0.43806153075614324 DIfference 2.105300170262732 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 3 testing 2.6069660320237746 Training 0.44022184319199165 DIfference 2.166744188831783 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 4 testing 2.550188463210361 Training 0.4649236852988704 DIfference 2.085264777911491 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 5 testing 2.4893971719720867 Training 0.49417961778300296 DIfference 1.9952175541890838 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 6 testing 2.580633211118402 Training 0.5079925095895306 DIfference 2.0726407015288713 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 7 testing 2.4739600200613494 Training 0.5216552043592351 DIfference 1.9523048157021143 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 8 testing 2.572129184723599 Training 0.5642744929607336 DIfference 2.0078546917628652 max_depth: 4 subsample: 0.9 eta: 0.1 min_child_weight: 9 testing 2.5635807428334374 Training 0.6117188300122507 DIfference 1.9518619128211867 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 0 testing 4.545271229714854 Training 0.24147049783108135 DIfference 4.303800731883772 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 1 testing 4.545271229714854 Training 0.24147049783108135 DIfference 4.303800731883772 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 2 testing 3.639077565196203 Training 0.2280455125741557 DIfference 3.4110320526220472 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 3 testing 3.9738746652321426 Training 0.23670698059852133 DIfference 3.7371676846336213 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 4 testing 4.25114551637671 Training 0.22457694260584604 DIfference 4.026568573770864 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 5 testing 3.5685506362642627 Training 0.21928579045666588 DIfference 3.3492648458075966 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 6 testing 3.689226882933872 Training 0.22975050444042103 DIfference 3.459476378493451 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 7 testing 4.0391541061282625 Training 0.23841324637178332 DIfference 3.800740859756479 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 8 testing 3.7426069881475996 Training 0.22183946546348227 DIfference 3.5207675226841175 max_depth: 4 subsample: 0.9 eta: 1 min_child_weight: 9 testing 3.863591928948881 Training 0.22649497233667515 DIfference 3.637096956612206 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 0 testing 2.9476467618660536 Training 2.7487761160488136 DIfference 0.19887064581724 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 1 testing 2.9476467618660536 Training 2.7487761160488136 DIfference 0.19887064581724 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 2 testing 2.8600879811972844 Training 2.7844319341406742 DIfference 0.07565604705661011 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 3 testing 2.886945261928486 Training 2.8188450959498166 DIfference 0.0681001659786693 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 4 testing 2.841720956779318 Training 2.847263241764934 DIfference -0.005542284985616153 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 5 testing 2.8338102245063057 Training 2.8861173721909936 DIfference -0.052307147684687916 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 6 testing 2.843175241438439 Training 2.920842375646397 DIfference -0.07766713420795801 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 7 testing 2.8534564494795633 Training 2.948064058830237 DIfference -0.0946076093506738 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 8 testing 2.8716477842011954 Training 2.964570190956713 DIfference -0.09292240675551744 max_depth: 5 subsample: 0.5 eta: 0.01 min_child_weight: 9 testing 2.841802832571557 Training 2.979881639478521 DIfference -0.13807880690696406 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 0 testing 2.9086212463502306 Training 0.3007823222627242 DIfference 2.607838924087506 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 1 testing 2.9086212463502306 Training 0.3007823222627242 DIfference 2.607838924087506 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 2 testing 2.7922084178950173 Training 0.2994825007782007 DIfference 2.4927259171168163 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 3 testing 2.6987290935532657 Training 0.300531675241008 DIfference 2.398197418312258 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 4 testing 2.44434139157529 Training 0.31961241458516776 DIfference 2.1247289769901223 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 5 testing 2.7068074102222455 Training 0.33161184910891783 DIfference 2.3751955611133275 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 6 testing 2.6305878524843136 Training 0.3638182228948507 DIfference 2.266769629589463 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 7 testing 2.795023476117058 Training 0.4061720994896152 DIfference 2.388851376627443 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 8 testing 2.703327713959152 Training 0.4439396813874029 DIfference 2.2593880325717492 max_depth: 5 subsample: 0.5 eta: 0.1 min_child_weight: 9 testing 2.627362897869898 Training 0.5036895584108101 DIfference 2.123673339459088 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 0 testing 7.520360656041885 Training 0.207717587316357 DIfference 7.312643068725528 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 1 testing 7.520360656041885 Training 0.207717587316357 DIfference 7.312643068725528 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 2 testing 6.497020441066707 Training 0.2290847003705696 DIfference 6.267935740696137 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 3 testing 6.462844517704798 Training 0.2144164140517306 DIfference 6.248428103653067 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 4 testing 7.792244705691701 Training 0.21157305256411846 DIfference 7.580671653127582 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 5 testing 6.993068752280669 Training 0.22267240916327055 DIfference 6.770396343117398 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 6 testing 7.4352817678183785 Training 0.20744496695309256 DIfference 7.227836800865286 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 7 testing 7.4208701288618615 Training 0.22557402833416645 DIfference 7.195296100527695 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 8 testing 7.424717007629806 Training 0.2213175367227652 DIfference 7.2033994709070415 max_depth: 5 subsample: 0.5 eta: 1 min_child_weight: 9 testing 7.438979276194004 Training 0.22090638774679974 DIfference 7.218072888447205 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 2.9574299211322796 Training 2.726921631173334 DIfference 0.23050828995894568 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 2.9574299211322796 Training 2.726921631173334 DIfference 0.23050828995894568 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 2.8821135101199618 Training 2.7587156050967883 DIfference 0.1233979050231735 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 2.8701120729267133 Training 2.803365833810272 DIfference 0.06674623911644151 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 2.87485404490144 Training 2.828003425809503 DIfference 0.046850619091936885 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 2.849875563598471 Training 2.8628465161814045 DIfference -0.01297095258293357 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 2.839569431269774 Training 2.884388755056231 DIfference -0.0448193237864567 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 2.8684856652922464 Training 2.9158949315793707 DIfference -0.047409266287124385 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 2.8390390157408545 Training 2.933611347834166 DIfference -0.0945723320933114 max_depth: 5 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 2.8280275106139015 Training 2.9495875925459485 DIfference -0.12156008193204704 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.4290945348504467 Training 0.2885932000638503 DIfference 2.140501334786596 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.4290945348504467 Training 0.2885932000638503 DIfference 2.140501334786596 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.260006245615659 Training 0.2834190689893957 DIfference 1.9765871766262635 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.666066285112174 Training 0.3018418432433262 DIfference 2.364224441868848 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.51322182083386 Training 0.3032859005525501 DIfference 2.20993592028131 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.6083993930777067 Training 0.3255679839484704 DIfference 2.282831409129236 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.5597934131568763 Training 0.32856143629049056 DIfference 2.2312319768663857 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.602527592651313 Training 0.35989417569427234 DIfference 2.242633416957041 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.600821814517258 Training 0.3968610397591773 DIfference 2.2039607747580807 max_depth: 5 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.3981439552095254 Training 0.4268151566838949 DIfference 1.9713287985256305 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 0 testing 6.352294966677436 Training 0.2112740991339605 DIfference 6.141020867543476 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 1 testing 6.352294966677436 Training 0.2112740991339605 DIfference 6.141020867543476 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 2 testing 6.311332664469956 Training 0.23830736202782848 DIfference 6.073025302442127 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 3 testing 7.118750475876732 Training 0.20952256323588597 DIfference 6.909227912640846 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 4 testing 6.419529315951513 Training 0.20238961638080785 DIfference 6.217139699570705 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 5 testing 6.050043161358917 Training 0.2257620219167115 DIfference 5.824281139442205 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 6 testing 5.964101228717482 Training 0.21359673669665225 DIfference 5.75050449202083 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 7 testing 6.334018287638901 Training 0.20198735661235534 DIfference 6.132030931026545 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 8 testing 5.98125989435357 Training 0.20917280706473523 DIfference 5.772087087288835 max_depth: 5 subsample: 0.55 eta: 1 min_child_weight: 9 testing 6.369130476476857 Training 0.21847454796467597 DIfference 6.150655928512181 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 2.9825965127849488 Training 2.6723062760002603 DIfference 0.3102902367846885 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 2.9825965127849488 Training 2.6723062760002603 DIfference 0.3102902367846885 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 2.94223613832728 Training 2.7136986779049037 DIfference 0.22853746042237644 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 2.9298159265250434 Training 2.763060105850713 DIfference 0.16675582067433048 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 2.903409804328112 Training 2.795122942284474 DIfference 0.10828686204363791 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 2.861135519965319 Training 2.82936672136291 DIfference 0.031768798602408665 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 2.8680788221128752 Training 2.8504674681539957 DIfference 0.017611353958879583 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 2.8527679443068337 Training 2.880933096566393 DIfference -0.02816515225955918 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 2.8437172174162697 Training 2.899708882649429 DIfference -0.05599166523315935 max_depth: 5 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 2.8701598167128397 Training 2.9232415421775335 DIfference -0.05308172546469381 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.3298216457187664 Training 0.2776570916874334 DIfference 2.052164554031333 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.3298216457187664 Training 0.2776570916874334 DIfference 2.052164554031333 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.375091104482999 Training 0.2764746083308839 DIfference 2.098616496152115 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.46586197327706 Training 0.2886917977968955 DIfference 2.1771701754801644 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.461592583655147 Training 0.2952475365678159 DIfference 2.166345047087331 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.465005445940187 Training 0.30623209425377557 DIfference 2.1587733516864116 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.6145520849211605 Training 0.32261724753382925 DIfference 2.2919348373873314 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.5966261939902324 Training 0.3441298272499504 DIfference 2.252496366740282 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.5648063592787365 Training 0.3616292358065645 DIfference 2.203177123472172 max_depth: 5 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.5527478570875246 Training 0.4024055659059539 DIfference 2.1503422911815706 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 0 testing 6.132740225788439 Training 0.19939042950281874 DIfference 5.93334979628562 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 1 testing 6.132740225788439 Training 0.19939042950281874 DIfference 5.93334979628562 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 2 testing 5.308857627859107 Training 0.21117742660377795 DIfference 5.097680201255328 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 3 testing 6.264794201852055 Training 0.2030149638484646 DIfference 6.061779238003591 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 4 testing 6.870455198275158 Training 0.20902542002602584 DIfference 6.661429778249132 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 5 testing 5.332806503743631 Training 0.218322772346437 DIfference 5.114483731397194 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 6 testing 6.336882135394262 Training 0.20984162320512242 DIfference 6.12704051218914 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 7 testing 6.359264266007813 Training 0.21214326317939494 DIfference 6.147121002828418 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 8 testing 7.094878117990447 Training 0.21066124492143798 DIfference 6.884216873069009 max_depth: 5 subsample: 0.6 eta: 1 min_child_weight: 9 testing 6.31527582500712 Training 0.21364769793193167 DIfference 6.101628127075188 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 0 testing 2.9481238059874157 Training 2.651964517166683 DIfference 0.29615928882073295 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 1 testing 2.9481238059874157 Training 2.651964517166683 DIfference 0.29615928882073295 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 2 testing 2.942119174945401 Training 2.6821171443728318 DIfference 0.26000203057256943 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 3 testing 2.9198128814517985 Training 2.7258020867205537 DIfference 0.19401079473124483 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 4 testing 2.9103125390887725 Training 2.7671050042004532 DIfference 0.14320753488831928 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 5 testing 2.854266757942969 Training 2.7923206315531086 DIfference 0.06194612638986019 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 6 testing 2.867507882096106 Training 2.8169005502028286 DIfference 0.050607331893277596 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 7 testing 2.827311039896449 Training 2.8472476042600143 DIfference -0.019936564363565168 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 8 testing 2.827298642130336 Training 2.8659487055640462 DIfference -0.03865006343371036 max_depth: 5 subsample: 0.65 eta: 0.01 min_child_weight: 9 testing 2.823697734804591 Training 2.8818777233724377 DIfference -0.058179988567846674 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 0 testing 2.4236762228014412 Training 0.27778633060709884 DIfference 2.1458898921943423 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 1 testing 2.4236762228014412 Training 0.27778633060709884 DIfference 2.1458898921943423 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 2 testing 2.388249503116822 Training 0.27671717268595886 DIfference 2.111532330430863 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 3 testing 2.309283236489864 Training 0.286849681493671 DIfference 2.022433554996193 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 4 testing 2.3369758119282777 Training 0.29667591434748225 DIfference 2.0402998975807956 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 5 testing 2.3150188417348545 Training 0.30915505956573824 DIfference 2.0058637821691163 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 6 testing 2.4017737407644746 Training 0.3115572307427 DIfference 2.0902165100217744 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 7 testing 2.474896308890311 Training 0.3318490044420792 DIfference 2.1430473044482317 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 8 testing 2.310851278278278 Training 0.3453613704135124 DIfference 1.9654899078647659 max_depth: 5 subsample: 0.65 eta: 0.1 min_child_weight: 9 testing 2.5290087051165755 Training 0.3632875060533277 DIfference 2.1657211990632477 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 0 testing 5.554781839385396 Training 0.21751341215438313 DIfference 5.337268427231013 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 1 testing 5.554781839385396 Training 0.21751341215438313 DIfference 5.337268427231013 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 2 testing 5.032662716828054 Training 0.2140666423443084 DIfference 4.818596074483746 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 3 testing 4.646637331933016 Training 0.2070112478466601 DIfference 4.439626084086356 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 4 testing 4.709415674180491 Training 0.22355368449093982 DIfference 4.4858619896895515 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 5 testing 4.893466593226185 Training 0.22757797946687788 DIfference 4.665888613759307 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 6 testing 4.793194436567137 Training 0.20007445524808848 DIfference 4.593119981319048 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 7 testing 5.180921053414932 Training 0.2136149622590488 DIfference 4.967306091155883 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 8 testing 4.186902289820137 Training 0.21611435683961544 DIfference 3.9707879329805214 max_depth: 5 subsample: 0.65 eta: 1 min_child_weight: 9 testing 4.597877788048936 Training 0.21044755246904162 DIfference 4.387430235579894 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 0 testing 2.9682748164923396 Training 2.6358549557755597 DIfference 0.33241986071677987 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 1 testing 2.9682748164923396 Training 2.6358549557755597 DIfference 0.33241986071677987 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 2 testing 2.9544206933758685 Training 2.6686198021531 DIfference 0.2858008912227685 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 3 testing 2.9195602760126347 Training 2.703740537532657 DIfference 0.21581973847997782 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 4 testing 2.9105792360089255 Training 2.743823991137712 DIfference 0.16675524487121374 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 5 testing 2.8810474700701887 Training 2.7764625773894496 DIfference 0.10458489268073912 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 6 testing 2.863211686111754 Training 2.8086594636655517 DIfference 0.05455222244620206 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 7 testing 2.8520547113206702 Training 2.829260637701696 DIfference 0.02279407361897423 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 8 testing 2.8517776250548197 Training 2.858256542306238 DIfference -0.006478917251418359 max_depth: 5 subsample: 0.7 eta: 0.01 min_child_weight: 9 testing 2.871284838655265 Training 2.8736413788231503 DIfference -0.002356540167885335 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 0 testing 2.453876999852946 Training 0.2804481238954597 DIfference 2.1734288759574865 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 1 testing 2.453876999852946 Training 0.2804481238954597 DIfference 2.1734288759574865 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 2 testing 2.6534350166039076 Training 0.2830994523518408 DIfference 2.3703355642520667 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 3 testing 2.5258924417139497 Training 0.28612135130679234 DIfference 2.2397710904071575 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 4 testing 2.6806450967735147 Training 0.28679879115790957 DIfference 2.393846305615605 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 5 testing 2.559379715885734 Training 0.2916266046761949 DIfference 2.2677531112095393 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 6 testing 2.6945745415461717 Training 0.3002090456830855 DIfference 2.3943654958630862 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 7 testing 2.4918490285694133 Training 0.31272968844019083 DIfference 2.1791193401292226 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 8 testing 2.4495260248251727 Training 0.3287891335565493 DIfference 2.1207368912686233 max_depth: 5 subsample: 0.7 eta: 0.1 min_child_weight: 9 testing 2.580808591825189 Training 0.34212696977839285 DIfference 2.238681622046796 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 0 testing 5.50178946586675 Training 0.23071132242006975 DIfference 5.2710781434466805 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 1 testing 5.50178946586675 Training 0.23071132242006975 DIfference 5.2710781434466805 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 2 testing 5.016833438869798 Training 0.21815143670472834 DIfference 4.79868200216507 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 3 testing 4.505753998766886 Training 0.2247248427140423 DIfference 4.281029156052844 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 4 testing 4.306645195937017 Training 0.22277418528812834 DIfference 4.083871010648889 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 5 testing 5.018152980314335 Training 0.20920893589629688 DIfference 4.8089440444180385 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 6 testing 4.455326608655741 Training 0.20299788479201702 DIfference 4.252328723863724 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 7 testing 4.951539474498714 Training 0.20790721316071642 DIfference 4.743632261337997 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 8 testing 5.0994942650722805 Training 0.20093816592901323 DIfference 4.898556099143267 max_depth: 5 subsample: 0.7 eta: 1 min_child_weight: 9 testing 4.208919501752826 Training 0.21973789861141185 DIfference 3.989181603141414 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 0 testing 2.962093501078198 Training 2.6071999393015477 DIfference 0.3548935617766502 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 1 testing 2.962093501078198 Training 2.6071999393015477 DIfference 0.3548935617766502 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 2 testing 2.9550474548188506 Training 2.6431449098551334 DIfference 0.31190254496371717 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 3 testing 2.953976737003541 Training 2.679549432961115 DIfference 0.27442730404242566 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 4 testing 2.8888822250126394 Training 2.709679944562312 DIfference 0.1792022804503275 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 5 testing 2.8712327146378813 Training 2.7403439423211644 DIfference 0.13088877231671692 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 6 testing 2.8543466052797157 Training 2.774911778023104 DIfference 0.07943482725661166 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 7 testing 2.8736763658293056 Training 2.7958002351082136 DIfference 0.07787613072109201 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 8 testing 2.8213177347031886 Training 2.8192060462056867 DIfference 0.0021116884975018735 max_depth: 5 subsample: 0.75 eta: 0.01 min_child_weight: 9 testing 2.8191238937026357 Training 2.8411896388744937 DIfference -0.022065745171857998 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 0 testing 2.53663243863848 Training 0.272098260154275 DIfference 2.264534178484205 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 1 testing 2.53663243863848 Training 0.272098260154275 DIfference 2.264534178484205 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 2 testing 2.3667007131676656 Training 0.2793187022804179 DIfference 2.087382010887248 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 3 testing 2.4823404497874435 Training 0.28338653719466594 DIfference 2.1989539125927777 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 4 testing 2.4578061113192233 Training 0.27292412261012944 DIfference 2.184881988709094 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 5 testing 2.5636561236169655 Training 0.28915524928985786 DIfference 2.274500874327108 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 6 testing 2.544640638324199 Training 0.30380953169919345 DIfference 2.2408311066250057 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 7 testing 2.5772431058634537 Training 0.30715253820203037 DIfference 2.2700905676614234 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 8 testing 2.6101292676699814 Training 0.32291157611309446 DIfference 2.287217691556887 max_depth: 5 subsample: 0.75 eta: 0.1 min_child_weight: 9 testing 2.5065181817801205 Training 0.33392635484148436 DIfference 2.1725918269386364 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 0 testing 4.900906740658684 Training 0.2119025802006945 DIfference 4.689004160457989 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 1 testing 4.900906740658684 Training 0.2119025802006945 DIfference 4.689004160457989 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 2 testing 4.071636807435425 Training 0.21584027057720556 DIfference 3.8557965368582194 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 3 testing 4.488003006885992 Training 0.19014884318975317 DIfference 4.297854163696239 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 4 testing 3.970211477257544 Training 0.2187903822787727 DIfference 3.751421094978771 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 5 testing 4.301534186321078 Training 0.20341242540162058 DIfference 4.098121760919457 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 6 testing 4.588820651039714 Training 0.20525876118853276 DIfference 4.3835618898511814 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 7 testing 4.167909511568723 Training 0.2211869106330495 DIfference 3.946722600935674 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 8 testing 4.4154941444343425 Training 0.22038159726653248 DIfference 4.19511254716781 max_depth: 5 subsample: 0.75 eta: 1 min_child_weight: 9 testing 4.911582443717634 Training 0.22068610885180534 DIfference 4.690896334865829 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 0 testing 2.933723156916676 Training 2.5832581949213314 DIfference 0.3504649619953448 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 1 testing 2.933723156916676 Training 2.5832581949213314 DIfference 0.3504649619953448 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 2 testing 2.9611761484004093 Training 2.622053509390551 DIfference 0.3391226390098585 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 3 testing 2.961688529950334 Training 2.655542480148789 DIfference 0.30614604980154514 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 4 testing 2.918766414624406 Training 2.692048981027781 DIfference 0.2267174335966251 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 5 testing 2.879195061669452 Training 2.7221829039212833 DIfference 0.15701215774816868 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 6 testing 2.881843749032123 Training 2.7497200761339626 DIfference 0.1321236728981603 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 7 testing 2.8565626592433544 Training 2.780334018279488 DIfference 0.07622864096386639 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 8 testing 2.8474507236329374 Training 2.798298729573273 DIfference 0.04915199405966453 max_depth: 5 subsample: 0.8 eta: 0.01 min_child_weight: 9 testing 2.8378592214372476 Training 2.819308626487489 DIfference 0.018550594949758636 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 0 testing 2.4577509832393845 Training 0.28058519433640566 DIfference 2.177165788902979 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 1 testing 2.4577509832393845 Training 0.28058519433640566 DIfference 2.177165788902979 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 2 testing 2.4712990865518805 Training 0.2782757647956411 DIfference 2.1930233217562396 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 3 testing 2.6577100744179916 Training 0.279566526112871 DIfference 2.3781435483051205 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 4 testing 2.7119371146953197 Training 0.27347086664004666 DIfference 2.4384662480552732 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 5 testing 2.739719836221775 Training 0.29539326361587476 DIfference 2.4443265726059002 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 6 testing 2.6267472143110355 Training 0.2956430007147396 DIfference 2.331104213596296 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 7 testing 2.6255077943613285 Training 0.3097231389282064 DIfference 2.3157846554331223 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 8 testing 2.6481340856349562 Training 0.3212390693111552 DIfference 2.326895016323801 max_depth: 5 subsample: 0.8 eta: 0.1 min_child_weight: 9 testing 2.675582110375399 Training 0.3338097274096476 DIfference 2.3417723829657513 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 0 testing 4.123585945129162 Training 0.2134113242966123 DIfference 3.9101746208325494 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 1 testing 4.123585945129162 Training 0.2134113242966123 DIfference 3.9101746208325494 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 2 testing 4.4475508732663 Training 0.2166595598954397 DIfference 4.2308913133708606 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 3 testing 4.671733418473741 Training 0.20275331147066836 DIfference 4.468980107003072 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 4 testing 4.310738291224697 Training 0.22124776956237233 DIfference 4.089490521662325 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 5 testing 4.759746980649652 Training 0.22332225820929225 DIfference 4.536424722440359 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 6 testing 4.295496723166434 Training 0.22112605153169068 DIfference 4.074370671634743 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 7 testing 4.029445786465658 Training 0.20678510985130238 DIfference 3.8226606766143556 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 8 testing 3.7570335483702366 Training 0.23073607583840688 DIfference 3.5262974725318297 max_depth: 5 subsample: 0.8 eta: 1 min_child_weight: 9 testing 3.6292008047050333 Training 0.2155879350223889 DIfference 3.413612869682644 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 0 testing 2.9722126321692484 Training 2.568800321574478 DIfference 0.40341231059477023 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 1 testing 2.9722126321692484 Training 2.568800321574478 DIfference 0.40341231059477023 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 2 testing 2.9646315412421247 Training 2.6008457978514747 DIfference 0.36378574339064995 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 3 testing 3.0014622974267695 Training 2.6398145396922095 DIfference 0.36164775773456004 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 4 testing 2.9370841560245027 Training 2.672017791000609 DIfference 0.2650663650238938 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 5 testing 2.8939481649256775 Training 2.697168494429853 DIfference 0.19677967049582445 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 6 testing 2.8981827411509586 Training 2.7324232743509733 DIfference 0.16575946679998532 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 7 testing 2.9023422155238223 Training 2.7519100962672383 DIfference 0.15043211925658406 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 8 testing 2.8977682504511906 Training 2.7682728343488026 DIfference 0.12949541610238802 max_depth: 5 subsample: 0.85 eta: 0.01 min_child_weight: 9 testing 2.8716030645242427 Training 2.7913035775237303 DIfference 0.08029948700051248 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 0 testing 2.5428336028999183 Training 0.2817066541381387 DIfference 2.2611269487617798 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 1 testing 2.5428336028999183 Training 0.2817066541381387 DIfference 2.2611269487617798 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 2 testing 2.544226819026517 Training 0.2719438493665722 DIfference 2.272282969659945 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 3 testing 2.46680413436261 Training 0.2861809153148594 DIfference 2.180623219047751 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 4 testing 2.5527587022806983 Training 0.29284513177634736 DIfference 2.259913570504351 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 5 testing 2.639329757663654 Training 0.2893399540735926 DIfference 2.3499898035900615 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 6 testing 2.5199522809882184 Training 0.294573531314058 DIfference 2.2253787496741606 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 7 testing 2.626354919403093 Training 0.30825530238475446 DIfference 2.3180996170183383 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 8 testing 2.4819635123887567 Training 0.3078925862352157 DIfference 2.174070926153541 max_depth: 5 subsample: 0.85 eta: 0.1 min_child_weight: 9 testing 2.497406935674371 Training 0.33620578178282207 DIfference 2.161201153891549 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 0 testing 3.8533011875406373 Training 0.22870740455627028 DIfference 3.624593782984367 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 1 testing 3.8533011875406373 Training 0.22870740455627028 DIfference 3.624593782984367 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 2 testing 4.025815013825195 Training 0.22893071736778237 DIfference 3.7968842964574128 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 3 testing 3.8656936011102516 Training 0.1993221660817249 DIfference 3.666371435028527 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 4 testing 4.407740438421024 Training 0.20890235556289555 DIfference 4.198838082858129 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 5 testing 4.004618757235585 Training 0.23638822609920881 DIfference 3.768230531136376 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 6 testing 3.996533491095761 Training 0.22733698432178548 DIfference 3.769196506773975 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 7 testing 3.885313164704712 Training 0.2267281924865933 DIfference 3.6585849722181187 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 8 testing 4.997716370079433 Training 0.23332220120226135 DIfference 4.764394168877172 max_depth: 5 subsample: 0.85 eta: 1 min_child_weight: 9 testing 4.2323571543616705 Training 0.22432300180403722 DIfference 4.0080341525576335 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 0 testing 2.9411043462634554 Training 2.557473378918237 DIfference 0.3836309673452183 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 1 testing 2.9411043462634554 Training 2.557473378918237 DIfference 0.3836309673452183 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 2 testing 2.9622471589886117 Training 2.598544370860327 DIfference 0.3637027881282848 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 3 testing 3.005325226770947 Training 2.634282187033548 DIfference 0.37104303973739894 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 4 testing 2.9760064143978524 Training 2.6603008829691035 DIfference 0.3157055314287489 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 5 testing 2.9201485690951814 Training 2.68082784249499 DIfference 0.23932072660019132 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 6 testing 2.899965450266609 Training 2.7059889244446014 DIfference 0.19397652582200742 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 7 testing 2.9018192577234005 Training 2.7320270990707085 DIfference 0.16979215865269204 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 8 testing 2.915739618282532 Training 2.754038800762242 DIfference 0.1617008175202903 max_depth: 5 subsample: 0.9 eta: 0.01 min_child_weight: 9 testing 2.9059824666765053 Training 2.777154043509573 DIfference 0.1288284231669321 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 0 testing 2.5998246869945434 Training 0.2835011793843781 DIfference 2.316323507610165 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 1 testing 2.5998246869945434 Training 0.2835011793843781 DIfference 2.316323507610165 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 2 testing 2.4942973241501023 Training 0.27678617489162005 DIfference 2.217511149258482 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 3 testing 2.5227147388563025 Training 0.28390340350387205 DIfference 2.2388113353524304 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 4 testing 2.5547790355572944 Training 0.28862187014763346 DIfference 2.266157165409661 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 5 testing 2.5229083843238187 Training 0.28946015438478856 DIfference 2.23344822993903 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 6 testing 2.6004870710370596 Training 0.29561566565858405 DIfference 2.3048714053784756 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 7 testing 2.506842032429995 Training 0.31004882966840847 DIfference 2.1967932027615866 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 8 testing 2.470314828847768 Training 0.33544949818299047 DIfference 2.1348653306647773 max_depth: 5 subsample: 0.9 eta: 0.1 min_child_weight: 9 testing 2.587382323265774 Training 0.33393032329752004 DIfference 2.253451999968254 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 0 testing 4.254789776314283 Training 0.23052936803497787 DIfference 4.0242604082793045 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 1 testing 4.254789776314283 Training 0.23052936803497787 DIfference 4.0242604082793045 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 2 testing 3.7785958003310953 Training 0.2272034142826063 DIfference 3.551392386048489 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 3 testing 3.93702127552242 Training 0.22000145175390773 DIfference 3.7170198237685126 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 4 testing 4.2293062362412455 Training 0.22937140385361596 DIfference 3.9999348323876296 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 5 testing 3.5693447031721006 Training 0.2247547932822878 DIfference 3.344589909889813 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 6 testing 4.512062615848845 Training 0.2081405643451338 DIfference 4.3039220515037115 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 7 testing 3.881077551812632 Training 0.22681680181606984 DIfference 3.654260749996562 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 8 testing 4.132354995241622 Training 0.2195968937439223 DIfference 3.9127581014976998 max_depth: 5 subsample: 0.9 eta: 1 min_child_weight: 9 testing 3.8458841218904127 Training 0.22265452596798746 DIfference 3.6232295959224254 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 0 testing 2.998161072708899 Training 2.6438354496391385 DIfference 0.35432562306976045 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 1 testing 2.998161072708899 Training 2.6438354496391385 DIfference 0.35432562306976045 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 2 testing 2.898199286434101 Training 2.688112661992717 DIfference 0.21008662444138393 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 3 testing 2.882323938346235 Training 2.727792106204045 DIfference 0.1545318321421898 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 4 testing 2.870216447795974 Training 2.762358223384298 DIfference 0.10785822441167614 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 5 testing 2.8786978006071875 Training 2.8077718894721735 DIfference 0.07092591113501401 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 6 testing 2.8905946731276346 Training 2.841037003727009 DIfference 0.04955766940062567 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 7 testing 2.860022455180297 Training 2.8680922544225016 DIfference -0.008069799242204745 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 8 testing 2.8650522918382193 Training 2.889983900809764 DIfference -0.024931608971544783 max_depth: 6 subsample: 0.5 eta: 0.01 min_child_weight: 9 testing 2.8622890166880097 Training 2.9210482331355 DIfference -0.05875921644749038 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 0 testing 2.7484264040074775 Training 0.2622816763585433 DIfference 2.4861447276489343 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 1 testing 2.7484264040074775 Training 0.2622816763585433 DIfference 2.4861447276489343 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 2 testing 2.6894786357937845 Training 0.25750945060281083 DIfference 2.4319691851909737 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 3 testing 2.7750167408084963 Training 0.2641260494801423 DIfference 2.510890691328354 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 4 testing 2.6627242002461573 Training 0.2677388908794253 DIfference 2.394985309366732 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 5 testing 2.813670704845572 Training 0.28076990319079614 DIfference 2.5329008016547756 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 6 testing 2.8078029432275797 Training 0.28311097724104506 DIfference 2.5246919659865346 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 7 testing 2.724954889289802 Training 0.30611883466675255 DIfference 2.4188360546230494 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 8 testing 2.5840328130696433 Training 0.3194506336456268 DIfference 2.2645821794240164 max_depth: 6 subsample: 0.5 eta: 0.1 min_child_weight: 9 testing 2.6625806579424536 Training 0.3632453819982604 DIfference 2.299335275944193 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 0 testing 6.8999720277905 Training 0.20385065746312547 DIfference 6.696121370327374 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 1 testing 6.8999720277905 Training 0.20385065746312547 DIfference 6.696121370327374 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 2 testing 6.984952128404984 Training 0.20701677036833846 DIfference 6.777935358036646 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 3 testing 7.71918025877676 Training 0.22446302021465575 DIfference 7.494717238562104 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 4 testing 7.042117942328332 Training 0.20250264128877057 DIfference 6.8396153010395615 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 5 testing 8.813220082683255 Training 0.21879390879767016 DIfference 8.594426173885585 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 6 testing 6.212763414398069 Training 0.21391161123885669 DIfference 5.998851803159212 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 7 testing 6.652557406906271 Training 0.20457864707698012 DIfference 6.447978759829291 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 8 testing 7.026125662290724 Training 0.20619135459031288 DIfference 6.819934307700411 max_depth: 6 subsample: 0.5 eta: 1 min_child_weight: 9 testing 7.2015667319588825 Training 0.2206981125766308 DIfference 6.980868619382251 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 3.0028691129584333 Training 2.599689716016615 DIfference 0.40317939694181826 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 3.0028691129584333 Training 2.599689716016615 DIfference 0.40317939694181826 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 2.900929557782365 Training 2.6483172241818265 DIfference 0.25261233360053836 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 2.84075819204445 Training 2.692445679556113 DIfference 0.14831251248833688 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 2.8545044107188007 Training 2.729721960065783 DIfference 0.12478245065301774 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 2.8449425363272893 Training 2.774258990711274 DIfference 0.07068354561601531 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 2.8405672273423987 Training 2.8015794052522525 DIfference 0.038987822090146285 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 2.850074335077079 Training 2.834075203892361 DIfference 0.015999131184718074 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 2.8234836539893875 Training 2.860417715069424 DIfference -0.036934061080036606 max_depth: 6 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 2.8568695211142767 Training 2.8793948522122164 DIfference -0.022525331097939638 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.601484639145201 Training 0.24864813890696194 DIfference 2.3528365002382388 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.601484639145201 Training 0.24864813890696194 DIfference 2.3528365002382388 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.4276914739457425 Training 0.2631388741183198 DIfference 2.164552599827423 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.4789257078024094 Training 0.26193654119140575 DIfference 2.2169891666110035 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.620161724096397 Training 0.2618590079558392 DIfference 2.3583027161405576 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.411516177171143 Training 0.27454236211746724 DIfference 2.1369738150536755 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.7353808555461 Training 0.28367571238842276 DIfference 2.4517051431576773 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.602998452173779 Training 0.287699999661547 DIfference 2.3152984525122315 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.583931627246784 Training 0.31010305787591885 DIfference 2.273828569370865 max_depth: 6 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.5843136124371084 Training 0.3183963244341107 DIfference 2.265917288002998 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 0 testing 6.066464218107285 Training 0.21269368686092396 DIfference 5.853770531246361 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 1 testing 6.066464218107285 Training 0.21269368686092396 DIfference 5.853770531246361 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 2 testing 6.525315748172579 Training 0.21847041839112838 DIfference 6.30684532978145 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 3 testing 6.018875384324929 Training 0.213694970724949 DIfference 5.80518041359998 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 4 testing 6.778529767267173 Training 0.2007700223954291 DIfference 6.577759744871744 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 5 testing 6.802146389131667 Training 0.2083803661685023 DIfference 6.593766022963164 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 6 testing 6.108292883419199 Training 0.21565282789524645 DIfference 5.892640055523953 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 7 testing 6.658194311853731 Training 0.21493349604877746 DIfference 6.443260815804954 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 8 testing 6.500363758107414 Training 0.19654719045049407 DIfference 6.30381656765692 max_depth: 6 subsample: 0.55 eta: 1 min_child_weight: 9 testing 5.868779346457449 Training 0.21623781877181802 DIfference 5.6525415276856315 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 2.9688370609132106 Training 2.550713627017103 DIfference 0.4181234338961075 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 2.9688370609132106 Training 2.550713627017103 DIfference 0.4181234338961075 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 2.9411784028925467 Training 2.5923409744851393 DIfference 0.3488374284074074 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 2.923838291160064 Training 2.6473088462591274 DIfference 0.27652944490093656 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 2.904615153296618 Training 2.6884556381419924 DIfference 0.2161595151546254 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 2.86596709631267 Training 2.7316842797574483 DIfference 0.1342828165552219 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 2.853705662704306 Training 2.7682190123622097 DIfference 0.08548665034209613 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 2.8576107263274024 Training 2.7993390081178706 DIfference 0.05827171820953181 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 2.840837526292307 Training 2.8210263432378673 DIfference 0.01981118305443985 max_depth: 6 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 2.865748840296874 Training 2.8446739873861793 DIfference 0.021074852910694553 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.316710899345344 Training 0.25836389627721573 DIfference 2.0583470030681283 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.316710899345344 Training 0.25836389627721573 DIfference 2.0583470030681283 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.4032734031497966 Training 0.2549025628469988 DIfference 2.148370840302798 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.4244678430317435 Training 0.2547878303086489 DIfference 2.1696800127230946 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.412645166396396 Training 0.26155654267511436 DIfference 2.151088623721282 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.4921838807931636 Training 0.2662788243408108 DIfference 2.2259050564523526 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.554540738085052 Training 0.2763424975176652 DIfference 2.2781982405673866 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.634455955500016 Training 0.2743916352124264 DIfference 2.3600643202875897 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.358151993755018 Training 0.2948335292684432 DIfference 2.063318464486575 max_depth: 6 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.4830046291288452 Training 0.3075223362332003 DIfference 2.1754822928956448 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 0 testing 6.521186262351693 Training 0.20059049108143276 DIfference 6.320595771270261 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 1 testing 6.521186262351693 Training 0.20059049108143276 DIfference 6.320595771270261 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 2 testing 6.015295869827969 Training 0.20415543065561603 DIfference 5.811140439172353 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 3 testing 5.090164981834823 Training 0.21751760377082974 DIfference 4.872647378063993 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 4 testing 6.1703421797777995 Training 0.1936952202542064 DIfference 5.976646959523593 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 5 testing 6.234320681280224 Training 0.2141986160358 DIfference 6.020122065244424 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 6 testing 6.574005129787838 Training 0.22255473110643734 DIfference 6.351450398681401 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 7 testing 5.9877957539458295 Training 0.2056681938753981 DIfference 5.782127560070432 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 8 testing 6.299995685595786 Training 0.21484930679693612 DIfference 6.08514637879885 max_depth: 6 subsample: 0.6 eta: 1 min_child_weight: 9 testing 5.663569179043407 Training 0.2006524000627299 DIfference 5.462916778980676 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 0 testing 3.0153433990373744 Training 2.5153955053719175 DIfference 0.4999478936654569 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 1 testing 3.0153433990373744 Training 2.5153955053719175 DIfference 0.4999478936654569 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 2 testing 2.929589314450277 Training 2.552840446043087 DIfference 0.3767488684071898 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 3 testing 2.9102539892017374 Training 2.6000400871672253 DIfference 0.31021390203451205 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 4 testing 2.8743998670426665 Training 2.651392273902376 DIfference 0.22300759314029062 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 5 testing 2.8256715202180205 Training 2.6879763530062823 DIfference 0.13769516721173813 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 6 testing 2.8690582694776823 Training 2.7222951378259395 DIfference 0.14676313165174282 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 7 testing 2.836142588587245 Training 2.747935219868345 DIfference 0.0882073687189 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 8 testing 2.801592248893576 Training 2.7825379916272746 DIfference 0.019054257266301278 max_depth: 6 subsample: 0.65 eta: 0.01 min_child_weight: 9 testing 2.8304057359404395 Training 2.800249165107703 DIfference 0.030156570832736485 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 0 testing 2.2993873109749985 Training 0.2538506058691483 DIfference 2.0455367051058504 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 1 testing 2.2993873109749985 Training 0.2538506058691483 DIfference 2.0455367051058504 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 2 testing 2.485832671163371 Training 0.25583877051119797 DIfference 2.2299939006521727 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 3 testing 2.5122581786999945 Training 0.25485365657239323 DIfference 2.2574045221276013 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 4 testing 2.5869471340149177 Training 0.2600960199203756 DIfference 2.3268511140945423 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 5 testing 2.7042727727850435 Training 0.2614874226364514 DIfference 2.442785350148592 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 6 testing 2.514495946880197 Training 0.2703488711384125 DIfference 2.2441470757417847 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 7 testing 2.4738476257247384 Training 0.27142519210465255 DIfference 2.202422433620086 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 8 testing 2.4906194200215395 Training 0.28283439424768503 DIfference 2.2077850257738545 max_depth: 6 subsample: 0.65 eta: 0.1 min_child_weight: 9 testing 2.444549361203099 Training 0.291756941163395 DIfference 2.1527924200397037 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 0 testing 5.600683103542542 Training 0.22099873123612876 DIfference 5.379684372306413 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 1 testing 5.600683103542542 Training 0.22099873123612876 DIfference 5.379684372306413 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 2 testing 5.3019177765527274 Training 0.20598991779843345 DIfference 5.095927858754294 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 3 testing 5.078983519057511 Training 0.20541514273629422 DIfference 4.8735683763212165 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 4 testing 4.957714279153151 Training 0.20233253091573716 DIfference 4.755381748237414 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 5 testing 5.694480659480905 Training 0.20714137971323604 DIfference 5.487339279767669 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 6 testing 5.6536771612067245 Training 0.22188060998968367 DIfference 5.431796551217041 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 7 testing 5.219381551718106 Training 0.21518909147319695 DIfference 5.0041924602449095 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 8 testing 5.390264369460056 Training 0.21140093569928367 DIfference 5.178863433760772 max_depth: 6 subsample: 0.65 eta: 1 min_child_weight: 9 testing 4.984919514652574 Training 0.203160753837114 DIfference 4.78175876081546 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 0 testing 2.977849067671923 Training 2.4873628172312037 DIfference 0.4904862504407195 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 1 testing 2.977849067671923 Training 2.4873628172312037 DIfference 0.4904862504407195 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 2 testing 2.9369896755029914 Training 2.529686433364016 DIfference 0.4073032421389753 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 3 testing 2.920828662853455 Training 2.575569115103119 DIfference 0.3452595477503362 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 4 testing 2.9246172056009527 Training 2.6270043205638003 DIfference 0.29761288503715244 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 5 testing 2.9553140125062782 Training 2.6664722273048636 DIfference 0.2888417852014147 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 6 testing 2.8981642169703266 Training 2.7064784227973884 DIfference 0.19168579417293818 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 7 testing 2.8443843087938148 Training 2.736038653474922 DIfference 0.10834565531889284 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 8 testing 2.8906340980378444 Training 2.7694684382502195 DIfference 0.12116565978762495 max_depth: 6 subsample: 0.7 eta: 0.01 min_child_weight: 9 testing 2.8985916137404275 Training 2.7859766757710736 DIfference 0.11261493796935396 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 0 testing 2.460958772659069 Training 0.25366292600261253 DIfference 2.2072958466564563 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 1 testing 2.460958772659069 Training 0.25366292600261253 DIfference 2.2072958466564563 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 2 testing 2.471148113225354 Training 0.25928831350627457 DIfference 2.2118597997190794 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 3 testing 2.561393689137185 Training 0.25222558732558453 DIfference 2.3091681018116006 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 4 testing 2.5753163108660373 Training 0.2570524841547012 DIfference 2.3182638267113362 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 5 testing 2.4806925401382616 Training 0.25948662918138626 DIfference 2.221205910956875 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 6 testing 2.612408064835472 Training 0.2562783219683398 DIfference 2.3561297428671324 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 7 testing 2.4227870635630095 Training 0.2662323558677195 DIfference 2.1565547076952902 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 8 testing 2.436464198102476 Training 0.27434166660144305 DIfference 2.162122531501033 max_depth: 6 subsample: 0.7 eta: 0.1 min_child_weight: 9 testing 2.577480474446202 Training 0.28219619513773875 DIfference 2.295284279308463 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 0 testing 4.640924128046026 Training 0.21289024167797632 DIfference 4.42803388636805 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 1 testing 4.640924128046026 Training 0.21289024167797632 DIfference 4.42803388636805 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 2 testing 5.178854424942983 Training 0.21667421346194007 DIfference 4.962180211481043 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 3 testing 4.810444834217196 Training 0.21732832764973864 DIfference 4.5931165065674575 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 4 testing 4.813795563677559 Training 0.20578729486248146 DIfference 4.608008268815078 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 5 testing 4.273996005504159 Training 0.2205795107344683 DIfference 4.053416494769691 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 6 testing 4.509253072744468 Training 0.21404944859160524 DIfference 4.2952036241528635 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 7 testing 4.191435339913005 Training 0.21376423228195765 DIfference 3.977671107631047 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 8 testing 4.8336771654721815 Training 0.21279972749891587 DIfference 4.620877437973266 max_depth: 6 subsample: 0.7 eta: 1 min_child_weight: 9 testing 4.634551715821726 Training 0.2181571746788298 DIfference 4.416394541142896 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 0 testing 3.0136853122559843 Training 2.460504739014949 DIfference 0.5531805732410353 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 1 testing 3.0136853122559843 Training 2.460504739014949 DIfference 0.5531805732410353 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 2 testing 3.0090414666978176 Training 2.5020839565006705 DIfference 0.5069575101971471 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 3 testing 2.964273767458508 Training 2.554648218892463 DIfference 0.4096255485660447 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 4 testing 2.8995743894425687 Training 2.592080501126798 DIfference 0.30749388831577074 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 5 testing 2.8654355592501815 Training 2.6292248920796233 DIfference 0.23621066717055816 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 6 testing 2.8391167840745766 Training 2.6646581726006437 DIfference 0.17445861147393282 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 7 testing 2.8552802762773353 Training 2.6900994789295107 DIfference 0.16518079734782454 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 8 testing 2.8182926854875405 Training 2.723237772408821 DIfference 0.0950549130787195 max_depth: 6 subsample: 0.75 eta: 0.01 min_child_weight: 9 testing 2.799868154496653 Training 2.7446019441768943 DIfference 0.055266210319758535 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 0 testing 2.5803963613288943 Training 0.25082016316009687 DIfference 2.3295761981687972 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 1 testing 2.5803963613288943 Training 0.25082016316009687 DIfference 2.3295761981687972 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 2 testing 2.380397850013105 Training 0.25147284927855557 DIfference 2.1289250007345495 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 3 testing 2.671717566467123 Training 0.2530520080575823 DIfference 2.4186655584095407 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 4 testing 2.560919323907001 Training 0.2583841963412447 DIfference 2.3025351275657564 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 5 testing 2.5287874288333114 Training 0.25861548017451746 DIfference 2.270171948658794 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 6 testing 2.543530118925264 Training 0.2663478764485464 DIfference 2.2771822424767176 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 7 testing 2.5331199807755183 Training 0.2652323834145338 DIfference 2.2678875973609847 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 8 testing 2.615685842494713 Training 0.2714961424974414 DIfference 2.344189699997272 max_depth: 6 subsample: 0.75 eta: 0.1 min_child_weight: 9 testing 2.590319687820738 Training 0.27746340641622536 DIfference 2.312856281404513 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 0 testing 4.816987526853336 Training 0.21386166917315375 DIfference 4.603125857680182 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 1 testing 4.816987526853336 Training 0.21386166917315375 DIfference 4.603125857680182 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 2 testing 4.81809271958773 Training 0.21770308855274279 DIfference 4.600389631034987 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 3 testing 4.967175083159236 Training 0.21738464621723527 DIfference 4.749790436942001 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 4 testing 5.227269459684612 Training 0.21964037370376496 DIfference 5.007629085980847 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 5 testing 4.4363388442608995 Training 0.22413150273754986 DIfference 4.212207341523349 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 6 testing 4.867311213485664 Training 0.2092081672938851 DIfference 4.658103046191779 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 7 testing 4.875333048816538 Training 0.21631305319153601 DIfference 4.659019995625002 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 8 testing 4.750742233259371 Training 0.2008700319345937 DIfference 4.549872201324777 max_depth: 6 subsample: 0.75 eta: 1 min_child_weight: 9 testing 4.669225072843256 Training 0.22135450792266056 DIfference 4.447870564920596 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 0 testing 2.9646315984602554 Training 2.432503126035186 DIfference 0.5321284724250694 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 1 testing 2.9646315984602554 Training 2.432503126035186 DIfference 0.5321284724250694 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 2 testing 2.971469579677796 Training 2.481476193635414 DIfference 0.48999338604238174 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 3 testing 2.9644274825870527 Training 2.532922615575242 DIfference 0.4315048670118107 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 4 testing 2.9112154121219644 Training 2.5692506131004644 DIfference 0.3419647990215 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 5 testing 2.8730135831690857 Training 2.596789949303234 DIfference 0.2762236338658517 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 6 testing 2.876263091067085 Training 2.624400329054333 DIfference 0.25186276201275204 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 7 testing 2.834835282311542 Training 2.6661610818390424 DIfference 0.1686742004724997 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 8 testing 2.8480369767930824 Training 2.6906479296119263 DIfference 0.1573890471811561 max_depth: 6 subsample: 0.8 eta: 0.01 min_child_weight: 9 testing 2.8343992194917518 Training 2.7184218961874853 DIfference 0.11597732330426647 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 0 testing 2.5393516454671046 Training 0.24942181137933706 DIfference 2.2899298340877676 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 1 testing 2.5393516454671046 Training 0.24942181137933706 DIfference 2.2899298340877676 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 2 testing 2.5343478708004112 Training 0.25393168959611406 DIfference 2.280416181204297 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 3 testing 2.7597331209050027 Training 0.2519071925030504 DIfference 2.507825928401952 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 4 testing 2.592961135850055 Training 0.25480472518053526 DIfference 2.33815641066952 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 5 testing 2.590915946936002 Training 0.25755090047346635 DIfference 2.3333650464625357 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 6 testing 2.647555898647988 Training 0.2611369895490093 DIfference 2.3864189090989787 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 7 testing 2.4995190191140866 Training 0.26653433016811806 DIfference 2.2329846889459684 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 8 testing 2.5669738902885 Training 0.27150812420812953 DIfference 2.295465766080371 max_depth: 6 subsample: 0.8 eta: 0.1 min_child_weight: 9 testing 2.579011912335409 Training 0.27642289978426154 DIfference 2.3025890125511475 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 0 testing 4.514902373304357 Training 0.22528661405797012 DIfference 4.289615759246387 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 1 testing 4.514902373304357 Training 0.22528661405797012 DIfference 4.289615759246387 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 2 testing 4.611562037450494 Training 0.20785261005189062 DIfference 4.403709427398604 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 3 testing 4.085398243909003 Training 0.2272695922305704 DIfference 3.8581286516784323 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 4 testing 4.178309525962686 Training 0.20907184791026845 DIfference 3.969237678052418 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 5 testing 4.020162951439852 Training 0.21986862628643092 DIfference 3.800294325153421 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 6 testing 4.371055596374208 Training 0.19677652020731734 DIfference 4.174279076166891 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 7 testing 4.724526906927349 Training 0.21661436557769775 DIfference 4.5079125413496515 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 8 testing 4.207331780408277 Training 0.21890986335800133 DIfference 3.9884219170502755 max_depth: 6 subsample: 0.8 eta: 1 min_child_weight: 9 testing 4.8850161638052665 Training 0.21881070751955525 DIfference 4.666205456285711 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 0 testing 2.985095897660358 Training 2.4071602712152527 DIfference 0.5779356264451052 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 1 testing 2.985095897660358 Training 2.4071602712152527 DIfference 0.5779356264451052 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 2 testing 2.96209810351138 Training 2.451823409711425 DIfference 0.5102746937999552 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 3 testing 2.9760175618983338 Training 2.499992235817222 DIfference 0.4760253260811118 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 4 testing 2.966941085801227 Training 2.541043605905078 DIfference 0.425897479896149 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 5 testing 2.916548815713031 Training 2.570025254985214 DIfference 0.346523560727817 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 6 testing 2.9172890128858855 Training 2.609695605486114 DIfference 0.3075934073997715 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 7 testing 2.922419209458167 Training 2.640048132997213 DIfference 0.28237107646095394 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 8 testing 2.9082845172670204 Training 2.6635843715617535 DIfference 0.24470014570526688 max_depth: 6 subsample: 0.85 eta: 0.01 min_child_weight: 9 testing 2.868573036178714 Training 2.6862283891002234 DIfference 0.1823446470784904 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 0 testing 2.7285007276397666 Training 0.25333362098576295 DIfference 2.4751671066540037 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 1 testing 2.7285007276397666 Training 0.25333362098576295 DIfference 2.4751671066540037 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 2 testing 2.5613464221649336 Training 0.2521473280180039 DIfference 2.30919909414693 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 3 testing 2.5856784028874245 Training 0.25180684419271226 DIfference 2.333871558694712 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 4 testing 2.551795863144798 Training 0.25359522269831763 DIfference 2.2982006404464803 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 5 testing 2.5940430698392447 Training 0.26349360679095196 DIfference 2.3305494630482926 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 6 testing 2.461918354983209 Training 0.2664921086320343 DIfference 2.1954262463511744 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 7 testing 2.5772373847838024 Training 0.2620405150603296 DIfference 2.3151968697234726 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 8 testing 2.661021762812743 Training 0.28303265509247366 DIfference 2.3779891077202695 max_depth: 6 subsample: 0.85 eta: 0.1 min_child_weight: 9 testing 2.5257413892482874 Training 0.2803981252338013 DIfference 2.245343264014486 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 0 testing 3.6702311720640863 Training 0.21658337275471745 DIfference 3.453647799309369 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 1 testing 3.6702311720640863 Training 0.21658337275471745 DIfference 3.453647799309369 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 2 testing 3.8549225659051443 Training 0.21002044084792335 DIfference 3.644902125057221 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 3 testing 3.96714707374922 Training 0.20139355949617715 DIfference 3.7657535142530425 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 4 testing 4.515641879028408 Training 0.21445545048659875 DIfference 4.3011864285418095 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 5 testing 4.16098903795355 Training 0.21969810619225932 DIfference 3.941290931761291 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 6 testing 4.740105254150694 Training 0.2184872018535518 DIfference 4.521618052297142 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 7 testing 4.338769496890018 Training 0.20929005701715747 DIfference 4.129479439872861 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 8 testing 3.961181306774961 Training 0.2127184170181863 DIfference 3.7484628897567744 max_depth: 6 subsample: 0.85 eta: 1 min_child_weight: 9 testing 4.416573461034568 Training 0.2227210854490598 DIfference 4.193852375585508 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 0 testing 2.9496734494983685 Training 2.3875556047216784 DIfference 0.5621178447766901 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 1 testing 2.9496734494983685 Training 2.3875556047216784 DIfference 0.5621178447766901 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 2 testing 2.976549369789427 Training 2.4419668180648135 DIfference 0.5345825517246134 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 3 testing 3.0111171016527805 Training 2.480648716605113 DIfference 0.5304683850476675 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 4 testing 2.9990231046511324 Training 2.5148070415895845 DIfference 0.48421606306154796 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 5 testing 2.927105083450442 Training 2.5495309762902454 DIfference 0.3775741071601968 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 6 testing 2.920873566606315 Training 2.5851537370653306 DIfference 0.33571982954098445 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 7 testing 2.918459220865043 Training 2.6125861993305284 DIfference 0.3058730215345147 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 8 testing 2.9271737117378507 Training 2.642265463506596 DIfference 0.2849082482312548 max_depth: 6 subsample: 0.9 eta: 0.01 min_child_weight: 9 testing 2.901918959588511 Training 2.6724296066444366 DIfference 0.22948935294407447 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 0 testing 2.581011921883328 Training 0.25986200746071214 DIfference 2.321149914422616 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 1 testing 2.581011921883328 Training 0.25986200746071214 DIfference 2.321149914422616 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 2 testing 2.5437529764079954 Training 0.2527581961023518 DIfference 2.2909947803056436 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 3 testing 2.624837014178047 Training 0.2527148628361627 DIfference 2.3721221513418844 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 4 testing 2.653452404012205 Training 0.2624947215883165 DIfference 2.3909576824238887 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 5 testing 2.609781880379887 Training 0.2569545147772361 DIfference 2.352827365602651 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 6 testing 2.674826786032645 Training 0.26513852861890985 DIfference 2.4096882574137353 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 7 testing 2.4334533834422474 Training 0.2694910246646032 DIfference 2.163962358777644 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 8 testing 2.6203988599649164 Training 0.27767024660715833 DIfference 2.342728613357758 max_depth: 6 subsample: 0.9 eta: 0.1 min_child_weight: 9 testing 2.549657548899995 Training 0.2838214362583434 DIfference 2.2658361126416517 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 0 testing 3.848032964236336 Training 0.22562465637327275 DIfference 3.622408307863063 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 1 testing 3.848032964236336 Training 0.22562465637327275 DIfference 3.622408307863063 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 2 testing 3.934378852782538 Training 0.21244304546336126 DIfference 3.7219358073191766 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 3 testing 3.8081107225094457 Training 0.2277914916579094 DIfference 3.5803192308515364 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 4 testing 4.24750928398571 Training 0.21111941627847652 DIfference 4.036389867707233 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 5 testing 4.231940499279881 Training 0.22333021922192225 DIfference 4.008610280057959 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 6 testing 4.148013570293552 Training 0.20439667145126603 DIfference 3.9436168988422855 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 7 testing 3.7158659801527394 Training 0.22967052487139072 DIfference 3.4861954552813486 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 8 testing 3.780674097040901 Training 0.21745970694658656 DIfference 3.5632143900943145 max_depth: 6 subsample: 0.9 eta: 1 min_child_weight: 9 testing 3.758845226286212 Training 0.21749011501023133 DIfference 3.5413551112759807 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 0 testing 3.02079283616622 Training 2.5735117879398683 DIfference 0.4472810482263516 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 1 testing 3.02079283616622 Training 2.5735117879398683 DIfference 0.4472810482263516 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 2 testing 2.913742794963764 Training 2.6224771718934385 DIfference 0.29126562307032566 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 3 testing 2.918012827838538 Training 2.6739330856504644 DIfference 0.24407974218807382 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 4 testing 2.8835995406785515 Training 2.702056760043423 DIfference 0.1815427806351284 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 5 testing 2.9032288617745508 Training 2.744161127512861 DIfference 0.15906773426168996 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 6 testing 2.878395420993911 Training 2.7879080541380166 DIfference 0.09048736685589454 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 7 testing 2.8961184796935413 Training 2.8219330546032224 DIfference 0.07418542509031889 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 8 testing 2.876523849455407 Training 2.851059327123221 DIfference 0.02546452233218588 max_depth: 7 subsample: 0.5 eta: 0.01 min_child_weight: 9 testing 2.848422336537624 Training 2.8831648872143383 DIfference -0.0347425506767145 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 0 testing 2.826094052317785 Training 0.2504717733167733 DIfference 2.5756222790010117 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 1 testing 2.826094052317785 Training 0.2504717733167733 DIfference 2.5756222790010117 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 2 testing 2.554578563681571 Training 0.2558159800724954 DIfference 2.2987625836090757 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 3 testing 2.599985051184194 Training 0.25347045602846063 DIfference 2.3465145951557336 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 4 testing 2.5497923669812734 Training 0.25599299129228004 DIfference 2.2937993756889936 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 5 testing 2.7020856852235737 Training 0.2637662678336104 DIfference 2.4383194173899634 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 6 testing 2.8220148725493344 Training 0.26673227210089356 DIfference 2.555282600448441 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 7 testing 2.7522662057948764 Training 0.2762408517844354 DIfference 2.476025354010441 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 8 testing 2.5697601995489094 Training 0.2960601353733283 DIfference 2.273700064175581 max_depth: 7 subsample: 0.5 eta: 0.1 min_child_weight: 9 testing 2.581766215310199 Training 0.30232320447038447 DIfference 2.2794430108398145 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 0 testing 6.031208580970997 Training 0.20588625997641227 DIfference 5.825322320994585 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 1 testing 6.031208580970997 Training 0.20588625997641227 DIfference 5.825322320994585 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 2 testing 5.835169945372035 Training 0.2166562865009635 DIfference 5.618513658871072 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 3 testing 7.839617104065837 Training 0.20890848303291326 DIfference 7.630708621032924 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 4 testing 7.462164070521249 Training 0.21545537052960653 DIfference 7.246708699991642 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 5 testing 6.894751104101306 Training 0.22125559609331605 DIfference 6.673495508007989 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 6 testing 8.165982377278851 Training 0.205699182402653 DIfference 7.960283194876198 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 7 testing 7.582375423394842 Training 0.21183256440175077 DIfference 7.370542858993091 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 8 testing 6.94509139584261 Training 0.233132599243739 DIfference 6.7119587965988705 max_depth: 7 subsample: 0.5 eta: 1 min_child_weight: 9 testing 8.260889923508511 Training 0.2193964783412715 DIfference 8.041493445167239 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 2.9748185987293256 Training 2.5194250511561727 DIfference 0.455393547573153 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 2.9748185987293256 Training 2.5194250511561727 DIfference 0.455393547573153 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 2.898056879983051 Training 2.579484625494418 DIfference 0.3185722544886329 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 2.873162065487122 Training 2.6255524218845596 DIfference 0.24760964360256255 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 2.887432156543946 Training 2.6712869065593825 DIfference 0.2161452499845633 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 2.8538316831400152 Training 2.721923767299288 DIfference 0.13190791584072725 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 2.867370963067515 Training 2.7504230415552025 DIfference 0.11694792151231237 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 2.853609270072775 Training 2.780094799887027 DIfference 0.07351447018574797 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 2.8553993701643776 Training 2.812535228620335 DIfference 0.0428641415440425 max_depth: 7 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 2.8625971994071735 Training 2.838781907395201 DIfference 0.0238152920119723 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.472439591406146 Training 0.2465155054905659 DIfference 2.22592408591558 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.472439591406146 Training 0.2465155054905659 DIfference 2.22592408591558 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.314875980344368 Training 0.24899744908972127 DIfference 2.065878531254647 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.405181022611214 Training 0.25181010687439187 DIfference 2.153370915736822 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.67239695834578 Training 0.25514669741452156 DIfference 2.4172502609312585 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.5872198472090533 Training 0.2601656666517051 DIfference 2.327054180557348 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.5135155143623704 Training 0.2569503028838274 DIfference 2.256565211478543 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.550013865454821 Training 0.2674669990626474 DIfference 2.2825468663921735 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.442883873946266 Training 0.2730139611185425 DIfference 2.169869912827724 max_depth: 7 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.471344310749555 Training 0.28084659079710644 DIfference 2.190497719952449 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 0 testing 6.185318116185954 Training 0.19760392903505514 DIfference 5.987714187150899 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 1 testing 6.185318116185954 Training 0.19760392903505514 DIfference 5.987714187150899 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 2 testing 5.7426954221737105 Training 0.20987236875549165 DIfference 5.532823053418219 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 3 testing 6.9538791379833125 Training 0.20077872773916977 DIfference 6.7531004102441425 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 4 testing 5.989418869983638 Training 0.21067623674041694 DIfference 5.778742633243221 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 5 testing 5.347547331795795 Training 0.21316273954903914 DIfference 5.1343845922467555 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 6 testing 5.532122710213298 Training 0.20637893082910322 DIfference 5.325743779384195 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 7 testing 6.310624828335131 Training 0.21438454442735141 DIfference 6.09624028390778 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 8 testing 5.898861788742943 Training 0.22675686837044648 DIfference 5.6721049203724965 max_depth: 7 subsample: 0.55 eta: 1 min_child_weight: 9 testing 7.750065947551048 Training 0.1947483060014848 DIfference 7.555317641549562 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 2.988494247425115 Training 2.476114190519891 DIfference 0.5123800569052239 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 2.988494247425115 Training 2.476114190519891 DIfference 0.5123800569052239 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 2.9677168102178255 Training 2.521251241573029 DIfference 0.4464655686447965 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 2.944425119395601 Training 2.5728040331690054 DIfference 0.3716210862265954 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 2.909054173453478 Training 2.616179568395536 DIfference 0.29287460505794227 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 2.858849877334433 Training 2.6716879225775805 DIfference 0.18716195475685238 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 2.8448482694395354 Training 2.706876700929004 DIfference 0.13797156851053138 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 2.846813774079783 Training 2.7409704169154994 DIfference 0.10584335716428361 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 2.8359270810789896 Training 2.7717187310297353 DIfference 0.06420835004925429 max_depth: 7 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 2.8627939462370704 Training 2.7945017855950733 DIfference 0.06829216064199706 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.453233055101009 Training 0.2442964773806226 DIfference 2.2089365777203867 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.453233055101009 Training 0.2442964773806226 DIfference 2.2089365777203867 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.479068324068794 Training 0.24569695516385967 DIfference 2.233371368904934 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.507237380958395 Training 0.24384515091078357 DIfference 2.2633922300476113 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.6164458970946725 Training 0.24902633911179792 DIfference 2.3674195579828745 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.4671106161840726 Training 0.2503909645149381 DIfference 2.2167196516691345 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.536737663281383 Training 0.2593249323208713 DIfference 2.2774127309605117 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.728727849939605 Training 0.26287604687450866 DIfference 2.4658518030650964 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.658029319747584 Training 0.26466497389935995 DIfference 2.393364345848224 max_depth: 7 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.400337446195772 Training 0.27007250415238865 DIfference 2.1302649420433832 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 0 testing 5.061692944035167 Training 0.20852701096252227 DIfference 4.853165933072645 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 1 testing 5.061692944035167 Training 0.20852701096252227 DIfference 4.853165933072645 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 2 testing 6.812503935344284 Training 0.2283318683841369 DIfference 6.584172066960147 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 3 testing 5.924501223670086 Training 0.2143201682393232 DIfference 5.710181055430763 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 4 testing 5.646482475771336 Training 0.21010145101851474 DIfference 5.436381024752821 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 5 testing 5.832073976023821 Training 0.22640898626478803 DIfference 5.605664989759033 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 6 testing 6.522735270945122 Training 0.21135236500995233 DIfference 6.31138290593517 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 7 testing 6.005180826160358 Training 0.22112154451121266 DIfference 5.784059281649146 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 8 testing 6.404051654326031 Training 0.20324337059476724 DIfference 6.200808283731264 max_depth: 7 subsample: 0.6 eta: 1 min_child_weight: 9 testing 5.252195308200316 Training 0.2074108426226303 DIfference 5.044784465577686 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 0 testing 2.991636557568563 Training 2.425562109785258 DIfference 0.5660744477833051 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 1 testing 2.991636557568563 Training 2.425562109785258 DIfference 0.5660744477833051 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 2 testing 2.960944099415792 Training 2.4764721045981988 DIfference 0.4844719948175933 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 3 testing 2.939033428177936 Training 2.5251317375973383 DIfference 0.41390169058059767 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 4 testing 2.89222817037371 Training 2.5822811668130776 DIfference 0.30994700356063243 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 5 testing 2.852890291198855 Training 2.6189632863944605 DIfference 0.23392700480439466 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 6 testing 2.9031694888777566 Training 2.658507253961741 DIfference 0.24466223491601546 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 7 testing 2.844459547981387 Training 2.688597349693171 DIfference 0.15586219828821601 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 8 testing 2.841103029221995 Training 2.7270202379208057 DIfference 0.11408279130118926 max_depth: 7 subsample: 0.65 eta: 0.01 min_child_weight: 9 testing 2.8345677318342495 Training 2.750144529233997 DIfference 0.08442320260025227 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 0 testing 2.329713360773167 Training 0.24452349033672363 DIfference 2.085189870436443 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 1 testing 2.329713360773167 Training 0.24452349033672363 DIfference 2.085189870436443 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 2 testing 2.368550992925884 Training 0.24543627989090358 DIfference 2.1231147130349806 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 3 testing 2.5942132263153326 Training 0.24159190035683828 DIfference 2.3526213259584945 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 4 testing 2.4043304052145684 Training 0.25450693857726747 DIfference 2.149823466637301 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 5 testing 2.4926899976620915 Training 0.24674791496169443 DIfference 2.245942082700397 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 6 testing 2.3936810341023373 Training 0.25110829300635185 DIfference 2.1425727410959854 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 7 testing 2.4037539214885326 Training 0.25388772128305087 DIfference 2.149866200205482 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 8 testing 2.465100069035543 Training 0.2658129053242091 DIfference 2.1992871637113343 max_depth: 7 subsample: 0.65 eta: 0.1 min_child_weight: 9 testing 2.4646016206766945 Training 0.2686091933373569 DIfference 2.1959924273393376 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 0 testing 5.245435137295862 Training 0.20727600341585153 DIfference 5.0381591338800105 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 1 testing 5.245435137295862 Training 0.20727600341585153 DIfference 5.0381591338800105 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 2 testing 5.804067485808628 Training 0.21606759955951324 DIfference 5.587999886249115 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 3 testing 4.996480973687722 Training 0.21593536280173187 DIfference 4.78054561088599 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 4 testing 5.07897105597076 Training 0.20319900937481886 DIfference 4.875772046595941 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 5 testing 5.645614223444136 Training 0.21518543359513084 DIfference 5.430428789849006 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 6 testing 5.160881228401559 Training 0.21406502061937419 DIfference 4.9468162077821844 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 7 testing 5.019850365625461 Training 0.22162756697895628 DIfference 4.798222798646505 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 8 testing 4.583673630707199 Training 0.20900839514538852 DIfference 4.37466523556181 max_depth: 7 subsample: 0.65 eta: 1 min_child_weight: 9 testing 4.381591110728914 Training 0.22082027915684094 DIfference 4.160770831572074 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 0 testing 3.0317748412897343 Training 2.4004336141955314 DIfference 0.6313412270942029 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 1 testing 3.0317748412897343 Training 2.4004336141955314 DIfference 0.6313412270942029 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 2 testing 2.965590272884583 Training 2.441330651378828 DIfference 0.5242596215057551 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 3 testing 2.945169030170655 Training 2.500601017626468 DIfference 0.4445680125441869 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 4 testing 2.9539538965036627 Training 2.5495532417268905 DIfference 0.40440065477677223 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 5 testing 2.941362323745852 Training 2.589386747780049 DIfference 0.351975575965803 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 6 testing 2.899396835308289 Training 2.638286058634468 DIfference 0.2611107766738212 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 7 testing 2.87999235628522 Training 2.6807066696980555 DIfference 0.1992856865871646 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 8 testing 2.8710191907652187 Training 2.7102170118725755 DIfference 0.16080217889264325 max_depth: 7 subsample: 0.7 eta: 0.01 min_child_weight: 9 testing 2.9032622480241117 Training 2.7277907848319347 DIfference 0.175471463192177 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 0 testing 2.4855574302433525 Training 0.24537099956457192 DIfference 2.2401864306787806 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 1 testing 2.4855574302433525 Training 0.24537099956457192 DIfference 2.2401864306787806 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 2 testing 2.4813111428928094 Training 0.23539687757406177 DIfference 2.245914265318748 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 3 testing 2.580299527157331 Training 0.24505254360459125 DIfference 2.3352469835527394 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 4 testing 2.661019242281327 Training 0.24653289176316726 DIfference 2.41448635051816 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 5 testing 2.7165094432712067 Training 0.24339059253688902 DIfference 2.4731188507343176 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 6 testing 2.3712355155905245 Training 0.24935209382998033 DIfference 2.1218834217605442 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 7 testing 2.5838408164854627 Training 0.252477934736655 DIfference 2.3313628817488077 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 8 testing 2.3991294860548806 Training 0.2647528117108676 DIfference 2.134376674344013 max_depth: 7 subsample: 0.7 eta: 0.1 min_child_weight: 9 testing 2.453774573310511 Training 0.2660013167717908 DIfference 2.1877732565387205 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 0 testing 4.5843171949207315 Training 0.21611893490836437 DIfference 4.368198260012367 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 1 testing 4.5843171949207315 Training 0.21611893490836437 DIfference 4.368198260012367 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 2 testing 4.674144352908479 Training 0.20319750636893635 DIfference 4.470946846539543 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 3 testing 4.972346655820729 Training 0.20850899139833118 DIfference 4.763837664422398 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 4 testing 5.1595450086460914 Training 0.21029304827097803 DIfference 4.949251960375113 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 5 testing 5.487660255405354 Training 0.2144676423088337 DIfference 5.27319261309652 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 6 testing 4.992815555544803 Training 0.204044021501775 DIfference 4.788771534043028 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 7 testing 4.824199243978365 Training 0.21171557008832073 DIfference 4.612483673890044 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 8 testing 5.0189923543774055 Training 0.20392873838233452 DIfference 4.815063615995071 max_depth: 7 subsample: 0.7 eta: 1 min_child_weight: 9 testing 5.295969925884856 Training 0.2042523479528932 DIfference 5.091717577931963 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 0 testing 3.00560952280066 Training 2.365842698567495 DIfference 0.6397668242331647 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 1 testing 3.00560952280066 Training 2.365842698567495 DIfference 0.6397668242331647 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 2 testing 2.9845955991593653 Training 2.4096366287273767 DIfference 0.5749589704319886 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 3 testing 2.9824799403955695 Training 2.4673389513692303 DIfference 0.5151409890263392 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 4 testing 2.903076972946292 Training 2.510151341324672 DIfference 0.39292563162161986 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 5 testing 2.8864186191407497 Training 2.561651864784977 DIfference 0.32476675435577285 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 6 testing 2.856982217769837 Training 2.5963587806391946 DIfference 0.2606234371306426 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 7 testing 2.863851829507621 Training 2.6288469153417586 DIfference 0.23500491416586256 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 8 testing 2.828357454278739 Training 2.6623158768466157 DIfference 0.16604157743212333 max_depth: 7 subsample: 0.75 eta: 0.01 min_child_weight: 9 testing 2.815537019708427 Training 2.684255904721148 DIfference 0.1312811149872788 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 0 testing 2.5503745365014767 Training 0.23983628638994156 DIfference 2.3105382501115352 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 1 testing 2.5503745365014767 Training 0.23983628638994156 DIfference 2.3105382501115352 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 2 testing 2.497842745768139 Training 0.24236477080396274 DIfference 2.2554779749641765 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 3 testing 2.532462553010555 Training 0.24621085602039885 DIfference 2.286251696990156 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 4 testing 2.4216013116471005 Training 0.24027489552584788 DIfference 2.1813264161212524 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 5 testing 2.584208187094191 Training 0.2401751837770765 DIfference 2.3440330033171146 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 6 testing 2.5104556254984347 Training 0.2459542866408204 DIfference 2.2645013388576145 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 7 testing 2.5904477643605786 Training 0.25084471613453285 DIfference 2.3396030482260457 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 8 testing 2.435942014673492 Training 0.2527151534915902 DIfference 2.1832268611819017 max_depth: 7 subsample: 0.75 eta: 0.1 min_child_weight: 9 testing 2.4461775626812594 Training 0.2637204975601182 DIfference 2.1824570651211412 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 0 testing 4.771355897915782 Training 0.20681138017939196 DIfference 4.56454451773639 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 1 testing 4.771355897915782 Training 0.20681138017939196 DIfference 4.56454451773639 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 2 testing 4.216846652998356 Training 0.20407233809302044 DIfference 4.012774314905336 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 3 testing 5.579815594659886 Training 0.21136120806913822 DIfference 5.368454386590748 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 4 testing 4.8930826883006375 Training 0.22016062784241514 DIfference 4.672922060458222 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 5 testing 4.744203665718669 Training 0.21100774840839828 DIfference 4.533195917310271 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 6 testing 4.9491541538445745 Training 0.20424108314715947 DIfference 4.744913070697415 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 7 testing 4.397164832084672 Training 0.2082668329317433 DIfference 4.188897999152929 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 8 testing 5.469110100244871 Training 0.21565348269521362 DIfference 5.2534566175496575 max_depth: 7 subsample: 0.75 eta: 1 min_child_weight: 9 testing 4.6983103217848114 Training 0.20685185099201692 DIfference 4.491458470792795 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 0 testing 2.9836823377467225 Training 2.3382155600094445 DIfference 0.645466777737278 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 1 testing 2.9836823377467225 Training 2.3382155600094445 DIfference 0.645466777737278 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 2 testing 2.960427462559892 Training 2.3915558181819505 DIfference 0.5688716443779414 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 3 testing 2.9712340459635014 Training 2.439493216829012 DIfference 0.5317408291344892 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 4 testing 2.921427052473882 Training 2.4863678773179547 DIfference 0.4350591751559274 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 5 testing 2.8962734126893337 Training 2.5183440769970833 DIfference 0.3779293356922504 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 6 testing 2.8814998531190215 Training 2.558411114471447 DIfference 0.3230887386475745 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 7 testing 2.8895403051225004 Training 2.595835560474855 DIfference 0.2937047446476453 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 8 testing 2.874617233261233 Training 2.6254010747225647 DIfference 0.24921615853866852 max_depth: 7 subsample: 0.8 eta: 0.01 min_child_weight: 9 testing 2.850120709388284 Training 2.6515887596295213 DIfference 0.19853194975876276 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 0 testing 2.4147175569378305 Training 0.23715198369463905 DIfference 2.1775655732431916 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 1 testing 2.4147175569378305 Training 0.23715198369463905 DIfference 2.1775655732431916 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 2 testing 2.650769465434132 Training 0.24144205486841708 DIfference 2.409327410565715 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 3 testing 2.7142498531087766 Training 0.24545718570524414 DIfference 2.4687926674035325 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 4 testing 2.57331463622977 Training 0.24205876833422937 DIfference 2.331255867895541 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 5 testing 2.6761857680918184 Training 0.24582074489703196 DIfference 2.4303650231947866 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 6 testing 2.75181658838992 Training 0.24516434739473172 DIfference 2.5066522409951886 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 7 testing 2.5496975869813467 Training 0.25245625444351594 DIfference 2.2972413325378307 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 8 testing 2.662017475120956 Training 0.25353547918299835 DIfference 2.4084819959379575 max_depth: 7 subsample: 0.8 eta: 0.1 min_child_weight: 9 testing 2.7214235057646876 Training 0.26089605215367756 DIfference 2.46052745361101 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 0 testing 5.04051121425 Training 0.2107617190081833 DIfference 4.829749495241817 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 1 testing 5.04051121425 Training 0.2107617190081833 DIfference 4.829749495241817 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 2 testing 4.244748926121974 Training 0.2050226929002545 DIfference 4.03972623322172 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 3 testing 4.573205059504835 Training 0.20635695613196325 DIfference 4.366848103372871 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 4 testing 4.4129040393687315 Training 0.20758343112991295 DIfference 4.205320608238819 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 5 testing 4.372533679933985 Training 0.20542607285573872 DIfference 4.167107607078247 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 6 testing 4.481583091249922 Training 0.21664511151482455 DIfference 4.264937979735097 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 7 testing 4.972516115644249 Training 0.2146375715551484 DIfference 4.7578785440891 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 8 testing 4.445929877267917 Training 0.21037855348808485 DIfference 4.235551323779832 max_depth: 7 subsample: 0.8 eta: 1 min_child_weight: 9 testing 4.473150528414408 Training 0.22181297488924528 DIfference 4.251337553525162 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 0 testing 2.9935305032588078 Training 2.3117794064378057 DIfference 0.6817510968210021 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 1 testing 2.9935305032588078 Training 2.3117794064378057 DIfference 0.6817510968210021 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 2 testing 2.975600533472607 Training 2.36238280671985 DIfference 0.6132177267527572 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 3 testing 3.0227168464509306 Training 2.409645433527314 DIfference 0.6130714129236168 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 4 testing 2.9709129295137244 Training 2.453901276053188 DIfference 0.5170116534605365 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 5 testing 2.923355164512759 Training 2.4938743371891583 DIfference 0.4294808273236006 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 6 testing 2.9372100019303615 Training 2.528327648687021 DIfference 0.40888235324334055 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 7 testing 2.8983703098085245 Training 2.5569034869860237 DIfference 0.34146682282250085 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 8 testing 2.9094910602259914 Training 2.5881807730934168 DIfference 0.3213102871325746 max_depth: 7 subsample: 0.85 eta: 0.01 min_child_weight: 9 testing 2.8807047586131374 Training 2.6235500769017057 DIfference 0.25715468171143163 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 0 testing 2.513886794092832 Training 0.23819831325155166 DIfference 2.2756884808412807 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 1 testing 2.513886794092832 Training 0.23819831325155166 DIfference 2.2756884808412807 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 2 testing 2.5952993640850766 Training 0.24505020514415163 DIfference 2.350249158940925 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 3 testing 2.5503055343579035 Training 0.2435800337879401 DIfference 2.3067255005699634 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 4 testing 2.5560099887719843 Training 0.23232867289722586 DIfference 2.3236813158747585 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 5 testing 2.399642466538353 Training 0.2418042123136628 DIfference 2.15783825422469 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 6 testing 2.446216270426521 Training 0.2389086710741847 DIfference 2.2073075993523363 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 7 testing 2.6736715354782064 Training 0.2530688744866186 DIfference 2.420602660991588 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 8 testing 2.647915439581266 Training 0.2532275622257859 DIfference 2.39468787735548 max_depth: 7 subsample: 0.85 eta: 0.1 min_child_weight: 9 testing 2.4963273029134143 Training 0.25880278868781814 DIfference 2.237524514225596 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 0 testing 4.2939239912142515 Training 0.2289608924688461 DIfference 4.064963098745405 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 1 testing 4.2939239912142515 Training 0.2289608924688461 DIfference 4.064963098745405 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 2 testing 3.4847044973110313 Training 0.20963222444600735 DIfference 3.275072272865024 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 3 testing 4.041611958498834 Training 0.1927313074029775 DIfference 3.848880651095856 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 4 testing 4.4068368005740925 Training 0.22506714274770476 DIfference 4.181769657826388 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 5 testing 4.187360565649579 Training 0.23258694944411723 DIfference 3.9547736162054616 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 6 testing 4.049226146173896 Training 0.20885907051075872 DIfference 3.840367075663137 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 7 testing 4.138337371783564 Training 0.22766505464031878 DIfference 3.910672317143245 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 8 testing 4.85770947643905 Training 0.22014494668433648 DIfference 4.637564529754713 max_depth: 7 subsample: 0.85 eta: 1 min_child_weight: 9 testing 4.31848984908429 Training 0.22155392879309754 DIfference 4.096935920291192 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 0 testing 2.974437658285024 Training 2.293319799259512 DIfference 0.681117859025512 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 1 testing 2.974437658285024 Training 2.293319799259512 DIfference 0.681117859025512 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 2 testing 2.998142692545662 Training 2.3443683369356827 DIfference 0.6537743556099791 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 3 testing 2.9990025873004926 Training 2.389172906977021 DIfference 0.6098296803234717 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 4 testing 3.002637116407277 Training 2.4288419167148985 DIfference 0.5737951996923787 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 5 testing 2.9226627969474066 Training 2.4599150685153695 DIfference 0.46274772843203715 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 6 testing 2.9556483468797525 Training 2.506451646689998 DIfference 0.4491967001897543 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 7 testing 2.924697463010671 Training 2.5380135153614294 DIfference 0.3866839476492414 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 8 testing 2.918618231738219 Training 2.5753025965105434 DIfference 0.34331563522767583 max_depth: 7 subsample: 0.9 eta: 0.01 min_child_weight: 9 testing 2.9200554370589087 Training 2.5997477519713965 DIfference 0.3203076850875122 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 0 testing 2.6552541999786627 Training 0.23858684466944802 DIfference 2.416667355309215 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 1 testing 2.6552541999786627 Training 0.23858684466944802 DIfference 2.416667355309215 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 2 testing 2.40752892398159 Training 0.23602380976339596 DIfference 2.1715051142181943 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 3 testing 2.547730791073991 Training 0.24543354814328874 DIfference 2.302297242930702 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 4 testing 2.598739033687161 Training 0.24214128267226948 DIfference 2.356597751014892 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 5 testing 2.676735345838824 Training 0.251621797938262 DIfference 2.425113547900562 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 6 testing 2.616926286678063 Training 0.24853601175903653 DIfference 2.3683902749190264 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 7 testing 2.5690408611262683 Training 0.24943964005085742 DIfference 2.319601221075411 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 8 testing 2.639890222524991 Training 0.2620294679085621 DIfference 2.377860754616429 max_depth: 7 subsample: 0.9 eta: 0.1 min_child_weight: 9 testing 2.54293047329993 Training 0.25138699017309896 DIfference 2.291543483126831 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 0 testing 4.307254384964471 Training 0.22035544003980856 DIfference 4.086898944924663 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 1 testing 4.307254384964471 Training 0.22035544003980856 DIfference 4.086898944924663 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 2 testing 4.076822896924568 Training 0.21018832937245155 DIfference 3.8666345675521168 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 3 testing 4.200978835549904 Training 0.22425875013254376 DIfference 3.97672008541736 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 4 testing 4.426776773453457 Training 0.20948132594348862 DIfference 4.217295447509969 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 5 testing 4.010388892161427 Training 0.2180364307300705 DIfference 3.792352461431357 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 6 testing 4.426223451603437 Training 0.21001807600130432 DIfference 4.216205375602132 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 7 testing 4.312073781940853 Training 0.21022435485049049 DIfference 4.101849427090363 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 8 testing 4.489088580623502 Training 0.19277581601636484 DIfference 4.296312764607137 max_depth: 7 subsample: 0.9 eta: 1 min_child_weight: 9 testing 4.324164471105905 Training 0.21466445614997712 DIfference 4.109500014955928 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 0 testing 3.045886462187627 Training 2.5308507421235036 DIfference 0.5150357200641236 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 1 testing 3.045886462187627 Training 2.5308507421235036 DIfference 0.5150357200641236 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 2 testing 2.9666442126908805 Training 2.5852058675489387 DIfference 0.38143834514194186 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 3 testing 2.9297924069978762 Training 2.635413069402178 DIfference 0.29437933759569823 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 4 testing 2.89824988648179 Training 2.6703113239025695 DIfference 0.22793856257922052 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 5 testing 2.916210705722915 Training 2.7156391474353665 DIfference 0.2005715582875487 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 6 testing 2.867586663208203 Training 2.7630661967572654 DIfference 0.10452046645093782 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 7 testing 2.894117647135863 Training 2.802721961868358 DIfference 0.0913956852675053 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 8 testing 2.882085864985129 Training 2.8269128037526063 DIfference 0.055173061232522524 max_depth: 8 subsample: 0.5 eta: 0.01 min_child_weight: 9 testing 2.852962493855739 Training 2.8629984534552526 DIfference -0.010035959599513422 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 0 testing 2.862391486164415 Training 0.24284047784749418 DIfference 2.619551008316921 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 1 testing 2.862391486164415 Training 0.24284047784749418 DIfference 2.619551008316921 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 2 testing 2.7583361968921962 Training 0.24671984054536247 DIfference 2.511616356346834 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 3 testing 2.6006098260811994 Training 0.2424411691673514 DIfference 2.358168656913848 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 4 testing 2.603028598794481 Training 0.24679361381438664 DIfference 2.356234984980094 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 5 testing 2.795584653393598 Training 0.257625274930615 DIfference 2.537959378462983 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 6 testing 2.6424862813961227 Training 0.26363281325514737 DIfference 2.378853468140975 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 7 testing 2.5583653211651836 Training 0.2660260438996678 DIfference 2.2923392772655156 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 8 testing 2.5963135490368585 Training 0.28085973295383154 DIfference 2.315453816083027 max_depth: 8 subsample: 0.5 eta: 0.1 min_child_weight: 9 testing 2.6116074313933497 Training 0.29026425606053735 DIfference 2.3213431753328124 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 0 testing 7.067342094384367 Training 0.20368142387079488 DIfference 6.863660670513572 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 1 testing 7.067342094384367 Training 0.20368142387079488 DIfference 6.863660670513572 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 2 testing 6.4902998113015204 Training 0.2213461057942671 DIfference 6.268953705507253 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 3 testing 6.746632683713687 Training 0.19671483282775928 DIfference 6.549917850885928 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 4 testing 7.141627210116712 Training 0.20649487713170755 DIfference 6.935132332985004 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 5 testing 7.809029472799739 Training 0.20538436864218157 DIfference 7.6036451041575575 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 6 testing 10.145100812189048 Training 0.20926127302227543 DIfference 9.935839539166773 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 7 testing 7.154010791302426 Training 0.20284422620768763 DIfference 6.951166565094738 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 8 testing 8.558383035677252 Training 0.20140126891201363 DIfference 8.356981766765239 max_depth: 8 subsample: 0.5 eta: 1 min_child_weight: 9 testing 7.38043463160866 Training 0.20704109679597119 DIfference 7.173393534812688 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 3.015115029324079 Training 2.476429889673212 DIfference 0.538685139650867 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 3.015115029324079 Training 2.476429889673212 DIfference 0.538685139650867 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 2.9298730993119535 Training 2.5388922264773606 DIfference 0.39098087283459293 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 2.8922948941995856 Training 2.5842811021759795 DIfference 0.3080137920236061 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 2.897701468440937 Training 2.6364876809594637 DIfference 0.26121378748147306 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 2.8770393237879035 Training 2.6819431067521995 DIfference 0.195096217035704 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 2.8930618247773965 Training 2.726349163263674 DIfference 0.16671266151372244 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 2.877399539918406 Training 2.7622908475640644 DIfference 0.11510869235434162 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 2.8666674098640215 Training 2.790299793239683 DIfference 0.07636761662433855 max_depth: 8 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 2.867446791619295 Training 2.81349570040798 DIfference 0.05395109121131503 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.5845983209495897 Training 0.23955539322665168 DIfference 2.345042927722938 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.5845983209495897 Training 0.23955539322665168 DIfference 2.345042927722938 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.3865395869885107 Training 0.24670261129762772 DIfference 2.139836975690883 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.437837835290702 Training 0.24720495298323739 DIfference 2.190632882307465 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.6186760196753314 Training 0.24680178913986311 DIfference 2.371874230535468 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.49132810877054 Training 0.2481585410539992 DIfference 2.243169567716541 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.4740828018228056 Training 0.25528357528253565 DIfference 2.21879922654027 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.763334221841069 Training 0.2617286458624423 DIfference 2.5016055759786266 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.5705872306891253 Training 0.2731414799229242 DIfference 2.297445750766201 max_depth: 8 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.5894529409182723 Training 0.27503315984245597 DIfference 2.3144197810758165 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 0 testing 6.157471498468658 Training 0.19905343771938028 DIfference 5.958418060749278 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 1 testing 6.157471498468658 Training 0.19905343771938028 DIfference 5.958418060749278 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 2 testing 6.265193628804991 Training 0.2228397998195659 DIfference 6.0423538289854255 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 3 testing 6.068494251713855 Training 0.22805681255025168 DIfference 5.840437439163604 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 4 testing 5.9347147655265875 Training 0.2079074604734261 DIfference 5.726807305053161 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 5 testing 7.199777709000045 Training 0.20336869774619118 DIfference 6.996409011253855 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 6 testing 6.26159548231517 Training 0.21076733170775697 DIfference 6.050828150607413 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 7 testing 8.011087662441422 Training 0.21525537692553673 DIfference 7.7958322855158855 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 8 testing 6.413957227423088 Training 0.22125727823262828 DIfference 6.19269994919046 max_depth: 8 subsample: 0.55 eta: 1 min_child_weight: 9 testing 6.618722285499098 Training 0.21706676684552803 DIfference 6.40165551865357 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 3.006719838123536 Training 2.4251872934194076 DIfference 0.5815325447041282 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 3.006719838123536 Training 2.4251872934194076 DIfference 0.5815325447041282 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 2.9803254547005054 Training 2.4748525773084515 DIfference 0.5054728773920538 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 2.941402710910188 Training 2.5314215558296485 DIfference 0.40998115508053967 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 2.9026783246954437 Training 2.5774049756725113 DIfference 0.3252733490229325 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 2.876894360530423 Training 2.632715418280309 DIfference 0.24417894225011372 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 2.848960536933737 Training 2.6734484294222463 DIfference 0.1755121075114907 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 2.8536686420149637 Training 2.7105097870251886 DIfference 0.1431588549897751 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 2.8447896957106424 Training 2.746635217980171 DIfference 0.09815447773047126 max_depth: 8 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 2.8651132583327126 Training 2.768380349790419 DIfference 0.09673290854229366 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.6130694675201083 Training 0.2436042622042199 DIfference 2.3694652053158882 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.6130694675201083 Training 0.2436042622042199 DIfference 2.3694652053158882 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.5771684417675713 Training 0.23653034105017368 DIfference 2.3406381007173978 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.62714332579053 Training 0.24504644443125775 DIfference 2.382096881359272 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.5453905305999798 Training 0.23615449445658468 DIfference 2.3092360361433952 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.414201450330438 Training 0.24238475455850778 DIfference 2.1718166957719305 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.7771865610906388 Training 0.24885040178067155 DIfference 2.5283361593099674 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.8469803185260387 Training 0.25432372756250615 DIfference 2.5926565909635326 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.618303883523913 Training 0.2642563090426847 DIfference 2.3540475744812284 max_depth: 8 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.592721647716826 Training 0.25881375869632595 DIfference 2.3339078890205 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 0 testing 5.667730084393407 Training 0.20713597874596923 DIfference 5.460594105647438 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 1 testing 5.667730084393407 Training 0.20713597874596923 DIfference 5.460594105647438 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 2 testing 6.176100809540367 Training 0.21351668712967592 DIfference 5.962584122410691 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 3 testing 5.779730701429071 Training 0.21582443448844263 DIfference 5.563906266940628 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 4 testing 6.068877643550513 Training 0.21727856094302195 DIfference 5.851599082607491 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 5 testing 6.381057840335416 Training 0.19286064830117133 DIfference 6.188197192034244 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 6 testing 5.624128049385035 Training 0.21842899795802723 DIfference 5.405699051427008 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 7 testing 6.210461767209926 Training 0.20914206790815418 DIfference 6.001319699301772 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 8 testing 5.367724272730993 Training 0.21799647575114958 DIfference 5.149727796979843 max_depth: 8 subsample: 0.6 eta: 1 min_child_weight: 9 testing 6.737619350879686 Training 0.19778993421673982 DIfference 6.539829416662946 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 0 testing 2.9769335460558066 Training 2.3789936700370165 DIfference 0.5979398760187902 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 1 testing 2.9769335460558066 Training 2.3789936700370165 DIfference 0.5979398760187902 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 2 testing 2.929768771160161 Training 2.4273007311754755 DIfference 0.5024680399846857 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 3 testing 2.9648298168031033 Training 2.482486321390348 DIfference 0.48234349541275545 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 4 testing 2.8838766574684995 Training 2.5309346080266146 DIfference 0.3529420494418849 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 5 testing 2.859727281559026 Training 2.5856190456750077 DIfference 0.2741082358840181 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 6 testing 2.897571233724011 Training 2.613515546897219 DIfference 0.28405568682679183 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 7 testing 2.8795119523711037 Training 2.653236976405606 DIfference 0.22627497596549784 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 8 testing 2.8646136979863512 Training 2.694782783607176 DIfference 0.1698309143791752 max_depth: 8 subsample: 0.65 eta: 0.01 min_child_weight: 9 testing 2.8572498502500823 Training 2.7214542737476424 DIfference 0.1357955765024399 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 0 testing 2.243504990549991 Training 0.23486232445575297 DIfference 2.008642666094238 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 1 testing 2.243504990549991 Training 0.23486232445575297 DIfference 2.008642666094238 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 2 testing 2.3810004911327267 Training 0.23560726109038418 DIfference 2.1453932300423424 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 3 testing 2.5107086906267795 Training 0.23793992678919393 DIfference 2.2727687638375857 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 4 testing 2.5298486442363357 Training 0.24470147711561166 DIfference 2.285147167120724 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 5 testing 2.556318133341847 Training 0.23885090405043835 DIfference 2.3174672292914087 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 6 testing 2.539507405256154 Training 0.24354644956118945 DIfference 2.2959609556949645 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 7 testing 2.5205455379385966 Training 0.24603793897743648 DIfference 2.27450759896116 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 8 testing 2.4888186826661696 Training 0.251378773802167 DIfference 2.2374399088640025 max_depth: 8 subsample: 0.65 eta: 0.1 min_child_weight: 9 testing 2.5641305131895935 Training 0.26823172913993604 DIfference 2.2958987840496574 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 0 testing 5.406735788803781 Training 0.19231840659372715 DIfference 5.214417382210054 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 1 testing 5.3928484191710595 Training 0.2051001495306587 DIfference 5.187748269640401 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 2 testing 5.3857564496982375 Training 0.20389404863300215 DIfference 5.181862401065235 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 3 testing 5.724954030959634 Training 0.21712797806960427 DIfference 5.50782605289003 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 4 testing 5.413910273526563 Training 0.22376314841288453 DIfference 5.190147125113678 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 5 testing 5.90719995876425 Training 0.209523006549312 DIfference 5.6976769522149375 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 6 testing 4.307767986267573 Training 0.21189412497397925 DIfference 4.095873861293593 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 7 testing 6.01903180789086 Training 0.21503584136694875 DIfference 5.803995966523911 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 8 testing 4.515563595719868 Training 0.21212098514273142 DIfference 4.303442610577137 max_depth: 8 subsample: 0.65 eta: 1 min_child_weight: 9 testing 5.736896054708632 Training 0.20262803056199724 DIfference 5.534268024146635 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 0 testing 3.055377685528947 Training 2.348948888346139 DIfference 0.706428797182808 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 1 testing 3.055377685528947 Training 2.348948888346139 DIfference 0.706428797182808 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 2 testing 2.9666244611551518 Training 2.397943809713858 DIfference 0.5686806514412939 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 3 testing 2.9607779130747076 Training 2.446008522185083 DIfference 0.5147693908896245 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 4 testing 2.9544731244852303 Training 2.5042225263275517 DIfference 0.45025059815767854 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 5 testing 2.930872001632815 Training 2.547898641583096 DIfference 0.38297336004971916 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 6 testing 2.913679733261233 Training 2.59071059639488 DIfference 0.322969136866353 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 7 testing 2.8801194333878812 Training 2.6320854443409996 DIfference 0.24803398904688168 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 8 testing 2.8945958556898406 Training 2.6680218146609453 DIfference 0.22657404102889522 max_depth: 8 subsample: 0.7 eta: 0.01 min_child_weight: 9 testing 2.879341402038699 Training 2.6958228360240657 DIfference 0.18351856601463323 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 0 testing 2.624590095510939 Training 0.23670451515483568 DIfference 2.3878855803561034 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 1 testing 2.624590095510939 Training 0.23670451515483568 DIfference 2.3878855803561034 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 2 testing 2.551411860442022 Training 0.23028652160299115 DIfference 2.321125338839031 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 3 testing 2.5059656820318197 Training 0.2327101985225454 DIfference 2.273255483509274 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 4 testing 2.6638361053483095 Training 0.23695231529418379 DIfference 2.426883790054126 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 5 testing 2.6199724483361932 Training 0.23926703915025832 DIfference 2.3807054091859348 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 6 testing 2.427201595279621 Training 0.2404184755300068 DIfference 2.186783119749614 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 7 testing 2.4735669951478485 Training 0.2404192696273741 DIfference 2.2331477255204746 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 8 testing 2.372113797190832 Training 0.24748603403309566 DIfference 2.1246277631577364 max_depth: 8 subsample: 0.7 eta: 0.1 min_child_weight: 9 testing 2.533773215272231 Training 0.25529499526989335 DIfference 2.278478220002338 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 0 testing 4.859235019650077 Training 0.20793409326838122 DIfference 4.651300926381696 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 1 testing 4.859235019650077 Training 0.20793409326838122 DIfference 4.651300926381696 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 2 testing 4.488231453875779 Training 0.21181017647678446 DIfference 4.2764212773989945 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 3 testing 5.367210349050583 Training 0.197579026589584 DIfference 5.169631322460999 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 4 testing 5.097909676522249 Training 0.20058514044439008 DIfference 4.89732453607786 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 5 testing 5.087714205723023 Training 0.19900301583369986 DIfference 4.888711189889323 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 6 testing 4.722185937390895 Training 0.204923450993374 DIfference 4.517262486397521 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 7 testing 4.4056216025433965 Training 0.20404256730236942 DIfference 4.201579035241027 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 8 testing 5.149439994775458 Training 0.207185805530753 DIfference 4.9422541892447045 max_depth: 8 subsample: 0.7 eta: 1 min_child_weight: 9 testing 5.658597247564467 Training 0.21225085080368444 DIfference 5.446346396760783 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 0 testing 3.032526193599915 Training 2.31476242229239 DIfference 0.7177637713075251 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 1 testing 3.032526193599915 Training 2.31476242229239 DIfference 0.7177637713075251 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 2 testing 3.0110427722742314 Training 2.3566392144033066 DIfference 0.6544035578709249 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 3 testing 2.982538287137868 Training 2.421588608101269 DIfference 0.5609496790365989 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 4 testing 2.9442851505067664 Training 2.4637727649377967 DIfference 0.4805123855689697 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 5 testing 2.9102062129823025 Training 2.5056819164414064 DIfference 0.40452429654089617 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 6 testing 2.890142699208809 Training 2.550869351485744 DIfference 0.33927334772306494 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 7 testing 2.8708246431138833 Training 2.587941537528402 DIfference 0.28288310558548124 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 8 testing 2.8516261958924587 Training 2.619756747129011 DIfference 0.23186944876344784 max_depth: 8 subsample: 0.75 eta: 0.01 min_child_weight: 9 testing 2.8281747321772857 Training 2.6471063334055036 DIfference 0.18106839877178205 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 0 testing 2.685784587840317 Training 0.23240213501655185 DIfference 2.453382452823765 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 1 testing 2.685784587840317 Training 0.23240213501655185 DIfference 2.453382452823765 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 2 testing 2.6583571185998154 Training 0.23579015902165945 DIfference 2.422566959578156 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 3 testing 2.757140437111957 Training 0.23962873110883973 DIfference 2.517511706003117 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 4 testing 2.5107559184834827 Training 0.23455841992593682 DIfference 2.2761974985575457 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 5 testing 2.5361326770682355 Training 0.23277843994890443 DIfference 2.303354237119331 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 6 testing 2.567542343115201 Training 0.24511541728344227 DIfference 2.322426925831759 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 7 testing 2.6271613378252368 Training 0.246451568928185 DIfference 2.3807097688970518 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 8 testing 2.4778304028266573 Training 0.2407677256890262 DIfference 2.237062677137631 max_depth: 8 subsample: 0.75 eta: 0.1 min_child_weight: 9 testing 2.4915189323190132 Training 0.25781535335506 DIfference 2.2337035789639534 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 0 testing 4.125859030726133 Training 0.2081621598206564 DIfference 3.9176968709054765 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 1 testing 4.125859030726133 Training 0.2081621598206564 DIfference 3.9176968709054765 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 2 testing 5.013191997510148 Training 0.20038441001799787 DIfference 4.81280758749215 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 3 testing 5.941723253711825 Training 0.20937512853803733 DIfference 5.732348125173788 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 4 testing 4.872238695150008 Training 0.20875685442911668 DIfference 4.663481840720891 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 5 testing 4.729944768891437 Training 0.21038995595105614 DIfference 4.519554812940381 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 6 testing 5.467100026604021 Training 0.20591070408570683 DIfference 5.261189322518314 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 7 testing 4.690351129026385 Training 0.19901135719846935 DIfference 4.491339771827915 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 8 testing 4.970654557220405 Training 0.20635232825427213 DIfference 4.764302228966132 max_depth: 8 subsample: 0.75 eta: 1 min_child_weight: 9 testing 4.5066916761046745 Training 0.21523231263660517 DIfference 4.2914593634680696 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 0 testing 3.0070750150538514 Training 2.2891125499878804 DIfference 0.7179624650659711 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 1 testing 3.0070750150538514 Training 2.2891125499878804 DIfference 0.7179624650659711 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 2 testing 2.978658400516724 Training 2.3374813229712244 DIfference 0.6411770775454997 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 3 testing 3.005076949094655 Training 2.3853436821230893 DIfference 0.6197332669715658 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 4 testing 2.955325668310979 Training 2.4366575075714434 DIfference 0.5186681607395358 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 5 testing 2.9258973560121375 Training 2.473314377355079 DIfference 0.45258297865705854 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 6 testing 2.9033750200120267 Training 2.5134658839889905 DIfference 0.38990913602303623 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 7 testing 2.876300541852834 Training 2.547474176399151 DIfference 0.3288263654536827 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 8 testing 2.874704518303042 Training 2.5760186786543473 DIfference 0.2986858396486949 max_depth: 8 subsample: 0.8 eta: 0.01 min_child_weight: 9 testing 2.852718754747184 Training 2.6091860668345666 DIfference 0.24353268791261762 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 0 testing 2.5294573574035892 Training 0.23202973510681962 DIfference 2.2974276222967696 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 1 testing 2.5294573574035892 Training 0.23202973510681962 DIfference 2.2974276222967696 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 2 testing 2.5879283618705813 Training 0.2330707098215094 DIfference 2.354857652049072 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 3 testing 2.717438489891356 Training 0.2338488996416951 DIfference 2.483589590249661 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 4 testing 2.61275402259198 Training 0.23021810331718168 DIfference 2.3825359192747984 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 5 testing 2.634091522201197 Training 0.2389403658052389 DIfference 2.395151156395958 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 6 testing 2.618290399532998 Training 0.23590411076115236 DIfference 2.3823862887718454 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 7 testing 2.5237325000751296 Training 0.24185978837776928 DIfference 2.2818727116973605 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 8 testing 2.5758689317444805 Training 0.24511858893222072 DIfference 2.3307503428122596 max_depth: 8 subsample: 0.8 eta: 0.1 min_child_weight: 9 testing 2.8470101146551317 Training 0.24781308609267905 DIfference 2.5991970285624526 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 0 testing 4.5614393152704 Training 0.2151707222749893 DIfference 4.34626859299541 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 1 testing 4.5614393152704 Training 0.2151707222749893 DIfference 4.34626859299541 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 2 testing 4.267703250859631 Training 0.21027890257796067 DIfference 4.05742434828167 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 3 testing 4.896411987772444 Training 0.20447492255932756 DIfference 4.691937065213116 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 4 testing 4.6112942886247765 Training 0.2044325444317009 DIfference 4.406861744193075 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 5 testing 3.876217349030776 Training 0.20351687130492388 DIfference 3.672700477725852 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 6 testing 3.710812670685118 Training 0.21164099418609922 DIfference 3.4991716764990186 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 7 testing 5.1697396192292215 Training 0.22177549134163807 DIfference 4.947964127887584 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 8 testing 4.483729385823244 Training 0.21016972341652337 DIfference 4.27355966240672 max_depth: 8 subsample: 0.8 eta: 1 min_child_weight: 9 testing 3.9344464454508854 Training 0.20757878817902464 DIfference 3.726867657271861 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 0 testing 3.0226188602333424 Training 2.265809121546853 DIfference 0.7568097386864894 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 1 testing 3.0226188602333424 Training 2.265809121546853 DIfference 0.7568097386864894 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 2 testing 3.0088812255708035 Training 2.310562975720192 DIfference 0.6983182498506113 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 3 testing 3.0466739139345007 Training 2.3524317911412154 DIfference 0.6942421227932853 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 4 testing 3.0018992147233803 Training 2.4028888613347794 DIfference 0.5990103533886009 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 5 testing 2.960124626144534 Training 2.441392269764199 DIfference 0.518732356380335 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 6 testing 2.9326304817048365 Training 2.4813740746105193 DIfference 0.45125640709431725 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 7 testing 2.9294632434553933 Training 2.513300923339557 DIfference 0.4161623201158364 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 8 testing 2.9357542733836453 Training 2.5480104412443727 DIfference 0.38774383213927255 max_depth: 8 subsample: 0.85 eta: 0.01 min_child_weight: 9 testing 2.9001224717881997 Training 2.5843008161043852 DIfference 0.3158216556838145 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 0 testing 2.5090684633294584 Training 0.23139207374640844 DIfference 2.27767638958305 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 1 testing 2.5090684633294584 Training 0.23139207374640844 DIfference 2.27767638958305 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 2 testing 2.5774534788157326 Training 0.23302267140113853 DIfference 2.344430807414594 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 3 testing 2.7007869968249 Training 0.2358232327685174 DIfference 2.4649637640563826 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 4 testing 2.530756357178325 Training 0.22884030783057419 DIfference 2.3019160493477506 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 5 testing 2.586066629405832 Training 0.23808939760007586 DIfference 2.347977231805756 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 6 testing 2.6284021320345348 Training 0.23736917019769962 DIfference 2.391032961836835 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 7 testing 2.471694167115493 Training 0.24249697246769858 DIfference 2.2291971946477944 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 8 testing 2.5395502366882283 Training 0.24452577284019855 DIfference 2.29502446384803 max_depth: 8 subsample: 0.85 eta: 0.1 min_child_weight: 9 testing 2.542738176317653 Training 0.24980992216927309 DIfference 2.29292825414838 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 0 testing 3.5937829103611874 Training 0.20544940322741037 DIfference 3.388333507133777 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 1 testing 3.5937829103611874 Training 0.20544940322741037 DIfference 3.388333507133777 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 2 testing 4.404861080128467 Training 0.20676990737233103 DIfference 4.198091172756136 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 3 testing 4.027612715720897 Training 0.20604953167882437 DIfference 3.821563184042073 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 4 testing 4.023498629563255 Training 0.20931523392209783 DIfference 3.814183395641157 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 5 testing 4.072103085945128 Training 0.1990831912883247 DIfference 3.873019894656803 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 6 testing 3.9956840553262736 Training 0.21272661436944165 DIfference 3.782957440956832 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 7 testing 3.9717767567781266 Training 0.21283522102878324 DIfference 3.758941535749343 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 8 testing 4.2812370528874455 Training 0.21516333197812654 DIfference 4.066073720909319 max_depth: 8 subsample: 0.85 eta: 1 min_child_weight: 9 testing 3.825048133829841 Training 0.2255007924550834 DIfference 3.5995473413747576 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 0 testing 3.0279400071885902 Training 2.243711551712153 DIfference 0.7842284554764372 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 1 testing 3.0279400071885902 Training 2.243711551712153 DIfference 0.7842284554764372 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 2 testing 2.9891047401179094 Training 2.289244784773069 DIfference 0.6998599553448406 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 3 testing 3.00399129675352 Training 2.336149921833486 DIfference 0.6678413749200343 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 4 testing 2.9903965158213395 Training 2.37589095957422 DIfference 0.6145055562471193 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 5 testing 2.9506057710328606 Training 2.4173271773577047 DIfference 0.5332785936751558 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 6 testing 2.953394174546702 Training 2.458492390626472 DIfference 0.49490178392022965 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 7 testing 2.96807934854296 Training 2.492430239988284 DIfference 0.4756491085546761 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 8 testing 2.925436802842887 Training 2.527589512498687 DIfference 0.3978472903442003 max_depth: 8 subsample: 0.9 eta: 0.01 min_child_weight: 9 testing 2.8897469959047157 Training 2.559910056424431 DIfference 0.3298369394802849 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 0 testing 2.7359730071912054 Training 0.22824091801497465 DIfference 2.5077320891762307 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 1 testing 2.7359730071912054 Training 0.22824091801497465 DIfference 2.5077320891762307 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 2 testing 2.6036409072752575 Training 0.23155178717311678 DIfference 2.3720891201021406 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 3 testing 2.5854005164990665 Training 0.23728204469015407 DIfference 2.3481184718089123 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 4 testing 2.545161348331021 Training 0.23697284111468536 DIfference 2.308188507216336 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 5 testing 2.649750637047691 Training 0.2405214341564311 DIfference 2.40922920289126 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 6 testing 2.686194716457976 Training 0.2410113242571242 DIfference 2.445183392200852 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 7 testing 2.578669323917711 Training 0.24033893591258676 DIfference 2.338330388005124 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 8 testing 2.577954635611968 Training 0.2453350470918748 DIfference 2.3326195885200933 max_depth: 8 subsample: 0.9 eta: 0.1 min_child_weight: 9 testing 2.4978762636019383 Training 0.24825128688890902 DIfference 2.2496249767130294 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 0 testing 4.320350311271613 Training 0.20966131040671218 DIfference 4.110689000864901 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 1 testing 4.320350311271613 Training 0.20966131040671218 DIfference 4.110689000864901 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 2 testing 4.759350595466094 Training 0.19403692150436755 DIfference 4.565313673961726 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 3 testing 3.941021842480404 Training 0.20556526333869746 DIfference 3.7354565791417067 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 4 testing 4.589243329974124 Training 0.19590346743870113 DIfference 4.393339862535423 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 5 testing 4.0943476581422145 Training 0.21179425705922766 DIfference 3.882553401082987 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 6 testing 4.613952610938577 Training 0.21919929070993224 DIfference 4.394753320228645 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 7 testing 4.455711266509025 Training 0.2039943873248477 DIfference 4.251716879184177 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 8 testing 4.39692399360356 Training 0.22256366174745684 DIfference 4.174360331856103 max_depth: 8 subsample: 0.9 eta: 1 min_child_weight: 9 testing 3.9521972479706164 Training 0.21031281403136542 DIfference 3.741884433939251 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 0 testing 3.0538247012824287 Training 2.5110369126467655 DIfference 0.5427877886356631 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 1 testing 3.0538247012824287 Training 2.5110369126467655 DIfference 0.5427877886356631 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 2 testing 2.965401646582177 Training 2.5614056929415607 DIfference 0.40399595364061636 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 3 testing 2.93962406537612 Training 2.6129706541645445 DIfference 0.3266534112115753 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 4 testing 2.9325336675334257 Training 2.6536926319279397 DIfference 0.278841035605486 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 5 testing 2.932142708747415 Training 2.7006570003228263 DIfference 0.2314857084245885 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 6 testing 2.8951226300850976 Training 2.747280559536173 DIfference 0.14784207054892473 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 7 testing 2.8936220464354845 Training 2.7877706051933475 DIfference 0.10585144124213697 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 8 testing 2.8771590203919915 Training 2.8140045331312447 DIfference 0.0631544872607468 max_depth: 9 subsample: 0.5 eta: 0.01 min_child_weight: 9 testing 2.8597688674519306 Training 2.852574620879669 DIfference 0.00719424657226142 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 0 testing 2.9000723552599084 Training 0.24278315900074732 DIfference 2.657289196259161 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 1 testing 2.9000723552599084 Training 0.24278315900074732 DIfference 2.657289196259161 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 2 testing 2.6846664447861257 Training 0.24359713555701698 DIfference 2.4410693092291087 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 3 testing 2.654281289112987 Training 0.2462044110431129 DIfference 2.408076878069874 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 4 testing 2.5627928800473456 Training 0.24189823776768107 DIfference 2.3208946422796646 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 5 testing 2.5671476516581606 Training 0.2433522887333917 DIfference 2.323795362924769 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 6 testing 2.6032614459923935 Training 0.2601861655543972 DIfference 2.343075280437996 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 7 testing 2.5938788404280784 Training 0.2691048650821257 DIfference 2.324773975345953 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 8 testing 2.7254642543790397 Training 0.27834298176846156 DIfference 2.447121272610578 max_depth: 9 subsample: 0.5 eta: 0.1 min_child_weight: 9 testing 2.561823363293661 Training 0.28142930990369575 DIfference 2.280394053389965 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 0 testing 6.047829876904143 Training 0.21413667610096226 DIfference 5.8336932008031805 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 1 testing 6.047829876904143 Training 0.21413667610096226 DIfference 5.8336932008031805 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 2 testing 7.395509471843252 Training 0.2289516678959545 DIfference 7.166557803947297 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 3 testing 7.788835990423104 Training 0.2302181674232189 DIfference 7.558617822999885 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 4 testing 6.946709856990492 Training 0.21103490574880399 DIfference 6.7356749512416885 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 5 testing 7.0192746448738035 Training 0.21148627175328633 DIfference 6.807788373120517 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 6 testing 8.23196507737157 Training 0.23873135815245203 DIfference 7.993233719219117 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 7 testing 8.642030062427512 Training 0.21048535007673005 DIfference 8.431544712350782 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 8 testing 8.084587542520604 Training 0.21244284635176883 DIfference 7.872144696168835 max_depth: 9 subsample: 0.5 eta: 1 min_child_weight: 9 testing 7.597798473824514 Training 0.22770243283852729 DIfference 7.370096040985986 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 3.0069157667050606 Training 2.4473636977891955 DIfference 0.5595520689158651 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 3.0069157667050606 Training 2.4473636977891955 DIfference 0.5595520689158651 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 2.940343683218816 Training 2.5085079904593943 DIfference 0.4318356927594218 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 2.920897446613526 Training 2.564358649356291 DIfference 0.3565387972572349 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 2.9363367700425442 Training 2.6185126328944333 DIfference 0.317824137148111 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 2.8684275111940223 Training 2.666468748619728 DIfference 0.20195876257429424 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 2.8872448406007605 Training 2.7078725899556755 DIfference 0.179372250645085 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 2.893871378869517 Training 2.7449481639817046 DIfference 0.14892321488781235 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 2.8765926837630102 Training 2.7745110059260494 DIfference 0.10208167783696087 max_depth: 9 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 2.8795082025171723 Training 2.802342836271661 DIfference 0.07716536624551118 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.62901147553348 Training 0.23808659830053028 DIfference 2.3909248772329494 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.62901147553348 Training 0.23808659830053028 DIfference 2.3909248772329494 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.396966373437317 Training 0.24288527076779348 DIfference 2.1540811026695237 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.43622706697206 Training 0.24280464199707946 DIfference 2.1934224249749805 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.653562533383956 Training 0.2405374309888834 DIfference 2.4130251023950726 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.5866322612564545 Training 0.24184784365352244 DIfference 2.344784417602932 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.6780323266924824 Training 0.25164094359174166 DIfference 2.4263913831007407 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.5992939815216234 Training 0.2594123269858149 DIfference 2.3398816545358083 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.650318554864498 Training 0.26407148198017644 DIfference 2.3862470728843213 max_depth: 9 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.7219132103899026 Training 0.2662411869982154 DIfference 2.455672023391687 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 0 testing 6.335588398919208 Training 0.20814778066964612 DIfference 6.127440618249562 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 1 testing 6.335588398919208 Training 0.20814778066964612 DIfference 6.127440618249562 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 2 testing 5.70679728189134 Training 0.20524938105890114 DIfference 5.501547900832439 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 3 testing 6.6568214168597475 Training 0.21104961671711256 DIfference 6.4457718001426345 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 4 testing 6.573228787892731 Training 0.2189561804730652 DIfference 6.354272607419666 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 5 testing 5.799939554237062 Training 0.2168146445428849 DIfference 5.583124909694177 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 6 testing 7.168636723008239 Training 0.2192538012828057 DIfference 6.949382921725434 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 7 testing 6.771812606806634 Training 0.20069157754769548 DIfference 6.571121029258938 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 8 testing 6.410162542347098 Training 0.19847562714065942 DIfference 6.211686915206438 max_depth: 9 subsample: 0.55 eta: 1 min_child_weight: 9 testing 7.485785106901313 Training 0.21383953370128034 DIfference 7.271945573200032 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 3.02191072939313 Training 2.39887077738919 DIfference 0.62303995200394 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 3.02191072939313 Training 2.39887077738919 DIfference 0.62303995200394 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 3.001335068704793 Training 2.451686626853835 DIfference 0.549648441850958 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 2.9724487085302824 Training 2.512796818091172 DIfference 0.4596518904391105 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 2.915851367934374 Training 2.550764583368113 DIfference 0.3650867845662611 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 2.895290817244677 Training 2.6128287285656877 DIfference 0.28246208867898925 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 2.8706256293982735 Training 2.6542280601880823 DIfference 0.21639756921019115 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 2.875149761181092 Training 2.693522461251511 DIfference 0.18162729992958093 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 2.855960583657725 Training 2.726929672023592 DIfference 0.12903091163413283 max_depth: 9 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 2.853642487496836 Training 2.75253901989846 DIfference 0.10110346759837618 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.413268899888499 Training 0.23101411232103905 DIfference 2.1822547875674596 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.413268899888499 Training 0.23101411232103905 DIfference 2.1822547875674596 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.6243839873874095 Training 0.23292474817846798 DIfference 2.3914592392089418 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.528559267980745 Training 0.23924980774237256 DIfference 2.2893094602383726 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.5051877594029066 Training 0.23791176282619644 DIfference 2.26727599657671 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.4476417350757402 Training 0.23867284817776332 DIfference 2.208968886897977 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.6466549348726405 Training 0.24164816327005004 DIfference 2.4050067716025905 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.711436688405229 Training 0.25450114829646836 DIfference 2.4569355401087605 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.6057178764312994 Training 0.2582099443055793 DIfference 2.34750793212572 max_depth: 9 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.654234322073171 Training 0.26412139331740847 DIfference 2.3901129287557623 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 0 testing 5.518441262672423 Training 0.20564805629094027 DIfference 5.312793206381483 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 1 testing 5.518441262672423 Training 0.20564805629094027 DIfference 5.312793206381483 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 2 testing 4.966983190079918 Training 0.20799709834520602 DIfference 4.7589860917347115 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 3 testing 6.2126006117032375 Training 0.20304740082550174 DIfference 6.009553210877736 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 4 testing 6.24916586203617 Training 0.21367945640166808 DIfference 6.035486405634502 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 5 testing 5.9149532666138835 Training 0.21060144037215245 DIfference 5.704351826241731 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 6 testing 5.425968988396926 Training 0.200141326428598 DIfference 5.225827661968328 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 7 testing 6.416290172556183 Training 0.20431247091489949 DIfference 6.211977701641283 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 8 testing 5.303039044380421 Training 0.20739744732725537 DIfference 5.095641597053166 max_depth: 9 subsample: 0.6 eta: 1 min_child_weight: 9 testing 6.9069732718111485 Training 0.2094322991389264 DIfference 6.697540972672222 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 0 testing 3.0179292621498464 Training 2.3599771745386535 DIfference 0.6579520876111928 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 1 testing 3.0179292621498464 Training 2.3599771745386535 DIfference 0.6579520876111928 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 2 testing 2.9474765071820004 Training 2.400444752263785 DIfference 0.5470317549182155 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 3 testing 2.966000785812503 Training 2.458202486456786 DIfference 0.5077982993557169 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 4 testing 2.8828396997239905 Training 2.5105064008423748 DIfference 0.3723332988816157 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 5 testing 2.863228797895135 Training 2.5602835814093448 DIfference 0.3029452164857904 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 6 testing 2.93332918069209 Training 2.5978826418881202 DIfference 0.3354465388039696 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 7 testing 2.886262291885214 Training 2.6343292758657806 DIfference 0.2519330160194335 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 8 testing 2.856108615855919 Training 2.6773676609374686 DIfference 0.17874095491845043 max_depth: 9 subsample: 0.65 eta: 0.01 min_child_weight: 9 testing 2.86752879616688 Training 2.703838985542663 DIfference 0.16368981062421684 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 0 testing 2.428331373183755 Training 0.2312468718116482 DIfference 2.1970845013721068 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 1 testing 2.428331373183755 Training 0.2312468718116482 DIfference 2.1970845013721068 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 2 testing 2.2909699983370957 Training 0.23906790999074776 DIfference 2.051902088346348 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 3 testing 2.578216723439982 Training 0.23042760373532978 DIfference 2.347789119704652 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 4 testing 2.501540987967746 Training 0.23533407291268102 DIfference 2.266206915055065 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 5 testing 2.570312597282464 Training 0.24002826750770004 DIfference 2.3302843297747637 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 6 testing 2.6587631025293375 Training 0.23996170923734705 DIfference 2.4188013932919903 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 7 testing 2.5866785354621245 Training 0.24233543608829172 DIfference 2.3443430993738326 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 8 testing 2.469153900136007 Training 0.25202885263133795 DIfference 2.217125047504669 max_depth: 9 subsample: 0.65 eta: 0.1 min_child_weight: 9 testing 2.5635279731533958 Training 0.25510860968303556 DIfference 2.3084193634703603 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 0 testing 5.496400174609152 Training 0.20063905057549064 DIfference 5.295761124033662 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 1 testing 5.496400174609152 Training 0.20063905057549064 DIfference 5.295761124033662 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 2 testing 5.7250538062711716 Training 0.2309967944269172 DIfference 5.494057011844254 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 3 testing 5.714655372645939 Training 0.2103777887015086 DIfference 5.50427758394443 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 4 testing 5.2078096866549455 Training 0.21463286563909303 DIfference 4.993176821015853 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 5 testing 4.328332982497523 Training 0.2078605508341247 DIfference 4.120472431663398 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 6 testing 4.95783077715314 Training 0.21327179230671997 DIfference 4.74455898484642 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 7 testing 4.272322048182832 Training 0.20264287089877245 DIfference 4.069679177284059 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 8 testing 4.962584291916573 Training 0.21011240704812936 DIfference 4.752471884868444 max_depth: 9 subsample: 0.65 eta: 1 min_child_weight: 9 testing 5.708478586171987 Training 0.2200775648156802 DIfference 5.488401021356307 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 0 testing 3.080880731571233 Training 2.3257535476625586 DIfference 0.7551271839086744 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 1 testing 3.080880731571233 Training 2.3257535476625586 DIfference 0.7551271839086744 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 2 testing 2.9690725469437895 Training 2.3700040243384946 DIfference 0.599068522605295 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 3 testing 2.9480507716943976 Training 2.4218838799214506 DIfference 0.526166891772947 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 4 testing 2.9601113424112553 Training 2.475279969949689 DIfference 0.48483137246156627 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 5 testing 2.953520546894288 Training 2.525194908453462 DIfference 0.4283256384408256 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 6 testing 2.9207489833643194 Training 2.5647716318696943 DIfference 0.35597735149462517 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 7 testing 2.889850869163638 Training 2.602310091119984 DIfference 0.28754077804365386 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 8 testing 2.895349683734821 Training 2.6496351235649653 DIfference 0.24571456016985582 max_depth: 9 subsample: 0.7 eta: 0.01 min_child_weight: 9 testing 2.8942233228532133 Training 2.670296915259678 DIfference 0.22392640759353544 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 0 testing 2.539959576592082 Training 0.2318013071638739 DIfference 2.3081582694282083 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 1 testing 2.539959576592082 Training 0.2318013071638739 DIfference 2.3081582694282083 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 2 testing 2.552981723769335 Training 0.24128162814433582 DIfference 2.311700095624999 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 3 testing 2.5474502735130953 Training 0.23709090086631476 DIfference 2.3103593726467806 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 4 testing 2.614888184535084 Training 0.2353637511583252 DIfference 2.379524433376759 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 5 testing 2.598886184679577 Training 0.23007072830546854 DIfference 2.368815456374109 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 6 testing 2.3943315830256324 Training 0.2380349209687362 DIfference 2.156296662056896 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 7 testing 2.582291388505837 Training 0.23698070929903123 DIfference 2.345310679206806 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 8 testing 2.339441383356461 Training 0.24942759620801855 DIfference 2.0900137871484428 max_depth: 9 subsample: 0.7 eta: 0.1 min_child_weight: 9 testing 2.455352405511076 Training 0.2540366517832606 DIfference 2.2013157537278154 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 0 testing 4.884141951537458 Training 0.20024190181995638 DIfference 4.683900049717502 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 1 testing 4.884141951537458 Training 0.20024190181995638 DIfference 4.683900049717502 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 2 testing 4.881084570853273 Training 0.21491862440662873 DIfference 4.666165946446644 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 3 testing 4.946732932102168 Training 0.21458216242285238 DIfference 4.732150769679316 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 4 testing 5.050063408823917 Training 0.20397128232289105 DIfference 4.846092126501025 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 5 testing 5.410303234081948 Training 0.20808120605328845 DIfference 5.20222202802866 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 6 testing 4.486954794888152 Training 0.20516181002474493 DIfference 4.281792984863407 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 7 testing 5.360483894328354 Training 0.22100795088465222 DIfference 5.139475943443702 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 8 testing 4.9006943368760405 Training 0.21268833260983228 DIfference 4.688006004266208 max_depth: 9 subsample: 0.7 eta: 1 min_child_weight: 9 testing 4.753770882106619 Training 0.20615626784791757 DIfference 4.547614614258702 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 0 testing 3.064958892803406 Training 2.29432957675308 DIfference 0.7706293160503264 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 1 testing 3.064958892803406 Training 2.29432957675308 DIfference 0.7706293160503264 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 2 testing 3.033443777059438 Training 2.334549086781529 DIfference 0.6988946902779087 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 3 testing 3.003617654781556 Training 2.395544925101826 DIfference 0.6080727296797299 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 4 testing 2.9461651725519915 Training 2.438340464054555 DIfference 0.5078247084974365 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 5 testing 2.914295216539176 Training 2.4861803494497305 DIfference 0.42811486708944546 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 6 testing 2.913889352773549 Training 2.5260244307961934 DIfference 0.3878649219773558 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 7 testing 2.890742554649478 Training 2.5636221731935316 DIfference 0.32712038145594624 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 8 testing 2.843288722023135 Training 2.5962906779113433 DIfference 0.2469980441117916 max_depth: 9 subsample: 0.75 eta: 0.01 min_child_weight: 9 testing 2.8282083968806546 Training 2.631122401546842 DIfference 0.19708599533381266 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 0 testing 2.600579553603893 Training 0.22496980011411424 DIfference 2.375609753489779 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 1 testing 2.600579553603893 Training 0.22496980011411424 DIfference 2.375609753489779 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 2 testing 2.5133508434228133 Training 0.23568009155181546 DIfference 2.277670751870998 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 3 testing 2.7048630275705365 Training 0.23618211472122413 DIfference 2.4686809128493126 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 4 testing 2.4838029107719195 Training 0.23101865913227407 DIfference 2.2527842516396452 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 5 testing 2.5051136026217136 Training 0.22996863387654431 DIfference 2.2751449687451695 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 6 testing 2.6558616638125385 Training 0.2394218326287551 DIfference 2.4164398311837836 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 7 testing 2.6029474582348486 Training 0.24452593660551228 DIfference 2.3584215216293365 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 8 testing 2.5941423082200346 Training 0.24149259446033586 DIfference 2.352649713759699 max_depth: 9 subsample: 0.75 eta: 0.1 min_child_weight: 9 testing 2.4299801416171247 Training 0.2467486936236835 DIfference 2.183231447993441 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 0 testing 4.954613652225817 Training 0.19803718810047333 DIfference 4.756576464125343 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 1 testing 4.954613652225817 Training 0.19803718810047333 DIfference 4.756576464125343 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 2 testing 4.340858662588289 Training 0.20131712898146362 DIfference 4.139541533606826 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 3 testing 4.505688216694398 Training 0.2118567345974346 DIfference 4.293831482096963 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 4 testing 5.4237416739400945 Training 0.2108269407452705 DIfference 5.2129147331948245 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 5 testing 5.1988641977251975 Training 0.2065121086805852 DIfference 4.992352089044612 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 6 testing 5.208266812824877 Training 0.21361256456778696 DIfference 4.99465424825709 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 7 testing 4.612711354723433 Training 0.20711122440407054 DIfference 4.405600130319362 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 8 testing 4.851568822859553 Training 0.20123424051691674 DIfference 4.650334582342636 max_depth: 9 subsample: 0.75 eta: 1 min_child_weight: 9 testing 4.869862166402163 Training 0.20198028643951854 DIfference 4.6678818799626445 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 0 testing 3.057815184578067 Training 2.2720369425809217 DIfference 0.7857782419971451 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 1 testing 3.057815184578067 Training 2.2720369425809217 DIfference 0.7857782419971451 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 2 testing 2.981269680004334 Training 2.3069320512819105 DIfference 0.6743376287224234 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 3 testing 2.993619843461784 Training 2.360541142564681 DIfference 0.6330787008971028 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 4 testing 2.9466648978937884 Training 2.4056386965559797 DIfference 0.5410262013378087 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 5 testing 2.935250177368289 Training 2.4444617030831677 DIfference 0.4907884742851212 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 6 testing 2.920201073627686 Training 2.4889258332731616 DIfference 0.4312752403545246 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 7 testing 2.906327645276906 Training 2.5220386808104296 DIfference 0.3842889644664762 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 8 testing 2.892654719337588 Training 2.554740327826908 DIfference 0.3379143915106799 max_depth: 9 subsample: 0.8 eta: 0.01 min_child_weight: 9 testing 2.8714079103257975 Training 2.5862874538560088 DIfference 0.2851204564697887 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 0 testing 2.5910976171551736 Training 0.22882847300627165 DIfference 2.362269144148902 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 1 testing 2.5910976171551736 Training 0.22882847300627165 DIfference 2.362269144148902 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 2 testing 2.487476241082186 Training 0.2211323810288579 DIfference 2.266343860053328 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 3 testing 2.712968337041093 Training 0.23104162905365228 DIfference 2.4819267079874408 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 4 testing 2.562488490092801 Training 0.22920590540161356 DIfference 2.3332825846911875 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 5 testing 2.466460166912293 Training 0.23388773125285903 DIfference 2.232572435659434 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 6 testing 2.720816065761028 Training 0.23095583509032924 DIfference 2.4898602306706987 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 7 testing 2.6862169065338093 Training 0.24022544500573229 DIfference 2.445991461528077 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 8 testing 2.5440241737116596 Training 0.24385666334096134 DIfference 2.300167510370698 max_depth: 9 subsample: 0.8 eta: 0.1 min_child_weight: 9 testing 2.7953415155236145 Training 0.24249918773615112 DIfference 2.5528423277874635 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 0 testing 4.2942833061271815 Training 0.20746234476618056 DIfference 4.086820961361001 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 1 testing 4.2942833061271815 Training 0.20746234476618056 DIfference 4.086820961361001 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 2 testing 4.653710817318642 Training 0.214540179593799 DIfference 4.439170637724843 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 3 testing 4.610886102175573 Training 0.2050155155477114 DIfference 4.405870586627861 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 4 testing 4.565315321000526 Training 0.217227503474957 DIfference 4.348087817525569 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 5 testing 4.0228975758596786 Training 0.20132367621538125 DIfference 3.821573899644297 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 6 testing 4.686880294809816 Training 0.21468703609813625 DIfference 4.4721932587116795 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 7 testing 4.503535635949811 Training 0.21430584015454063 DIfference 4.28922979579527 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 8 testing 4.489007095334818 Training 0.2023038851472342 DIfference 4.286703210187584 max_depth: 9 subsample: 0.8 eta: 1 min_child_weight: 9 testing 4.32029042627546 Training 0.22200988116415424 DIfference 4.098280545111306 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 0 testing 3.0368342828645836 Training 2.2437875147339783 DIfference 0.7930467681306053 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 1 testing 3.0368342828645836 Training 2.2437875147339783 DIfference 0.7930467681306053 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 2 testing 3.031199803337222 Training 2.2836417994449016 DIfference 0.7475580038923204 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 3 testing 3.0653220376756507 Training 2.329624599715074 DIfference 0.7356974379605767 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 4 testing 2.9961894235399087 Training 2.3707689559113025 DIfference 0.6254204676286061 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 5 testing 2.9732904157426674 Training 2.4158468237909902 DIfference 0.5574435919516771 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 6 testing 2.9865222120133694 Training 2.4569199451801573 DIfference 0.5296022668332121 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 7 testing 2.927199377998477 Training 2.4893777936205477 DIfference 0.4378215843779292 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 8 testing 2.94300610825303 Training 2.5220161113655193 DIfference 0.4209899968875108 max_depth: 9 subsample: 0.85 eta: 0.01 min_child_weight: 9 testing 2.9152996263292152 Training 2.5548232349722335 DIfference 0.36047639135698173 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 0 testing 2.5593188142811414 Training 0.2234194607887831 DIfference 2.3358993534923584 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 1 testing 2.5593188142811414 Training 0.2234194607887831 DIfference 2.3358993534923584 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 2 testing 2.5864583759277595 Training 0.22330205749021842 DIfference 2.3631563184375413 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 3 testing 2.607900607114425 Training 0.22488893292999515 DIfference 2.38301167418443 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 4 testing 2.517906560871052 Training 0.2222928160141843 DIfference 2.2956137448568676 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 5 testing 2.5637186594016383 Training 0.23008795739280888 DIfference 2.3336307020088296 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 6 testing 2.5714601726445836 Training 0.22569435078831804 DIfference 2.3457658218562654 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 7 testing 2.618070021615131 Training 0.23574242746043536 DIfference 2.3823275941546957 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 8 testing 2.608073047612561 Training 0.2350212977733463 DIfference 2.373051749839215 max_depth: 9 subsample: 0.85 eta: 0.1 min_child_weight: 9 testing 2.64740719126421 Training 0.23946463701884366 DIfference 2.4079425542453663 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 0 testing 4.044413169816835 Training 0.19303191212109394 DIfference 3.851381257695741 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 1 testing 4.044413169816835 Training 0.19303191212109394 DIfference 3.851381257695741 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 2 testing 4.17351811119006 Training 0.21738964039056252 DIfference 3.9561284707994977 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 3 testing 4.4492039918724915 Training 0.2071442773500975 DIfference 4.242059714522394 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 4 testing 4.046207088412484 Training 0.19495136483132633 DIfference 3.851255723581158 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 5 testing 3.5095397043332923 Training 0.21485582860057345 DIfference 3.294683875732719 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 6 testing 4.25458138702088 Training 0.20969776752172037 DIfference 4.04488361949916 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 7 testing 4.424987573636463 Training 0.20481995047173565 DIfference 4.220167623164727 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 8 testing 4.152778004651191 Training 0.2107450698204856 DIfference 3.9420329348307055 max_depth: 9 subsample: 0.85 eta: 1 min_child_weight: 9 testing 4.0954216775775425 Training 0.20761515490141594 DIfference 3.8878065226761267 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 0 testing 3.0565435094584243 Training 2.2306519737182597 DIfference 0.8258915357401646 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 1 testing 3.0565435094584243 Training 2.2306519737182597 DIfference 0.8258915357401646 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 2 testing 3.0170267505396624 Training 2.2637275384726108 DIfference 0.7532992120670516 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 3 testing 3.0298818731156643 Training 2.31061469750453 DIfference 0.7192671756111344 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 4 testing 3.0004808387544473 Training 2.349643528876671 DIfference 0.6508373098777764 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 5 testing 2.965634363150457 Training 2.392821960016671 DIfference 0.5728124031337858 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 6 testing 2.949404947255971 Training 2.4303502878536367 DIfference 0.5190546594023342 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 7 testing 2.9765231332567055 Training 2.467715977978272 DIfference 0.5088071552784337 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 8 testing 2.936517856566934 Training 2.5035270258525593 DIfference 0.43299083071437483 max_depth: 9 subsample: 0.9 eta: 0.01 min_child_weight: 9 testing 2.9350450916041155 Training 2.531913087096634 DIfference 0.4031320045074813 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 0 testing 2.6934335298428778 Training 0.23147714521166765 DIfference 2.4619563846312102 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 1 testing 2.6934335298428778 Training 0.23147714521166765 DIfference 2.4619563846312102 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 2 testing 2.65081202792353 Training 0.23004537832974975 DIfference 2.42076664959378 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 3 testing 2.554250967950793 Training 0.22555015560808694 DIfference 2.328700812342706 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 4 testing 2.5994209003227295 Training 0.23154559322477627 DIfference 2.3678753070979535 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 5 testing 2.645473451592261 Training 0.23589062987981985 DIfference 2.409582821712441 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 6 testing 2.634349998476682 Training 0.233195704418338 DIfference 2.401154294058344 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 7 testing 2.5358317165344486 Training 0.23408893738976783 DIfference 2.3017427791446807 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 8 testing 2.616745121934218 Training 0.24137856828488616 DIfference 2.375366553649332 max_depth: 9 subsample: 0.9 eta: 0.1 min_child_weight: 9 testing 2.467754798865644 Training 0.24185760408484688 DIfference 2.225897194780797 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 0 testing 4.469046714768046 Training 0.19622729259879432 DIfference 4.272819422169252 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 1 testing 4.469046714768046 Training 0.19622729259879432 DIfference 4.272819422169252 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 2 testing 4.069205970753683 Training 0.22013055801960743 DIfference 3.8490754127340754 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 3 testing 3.864245668373769 Training 0.20876778153340436 DIfference 3.655477886840365 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 4 testing 4.5504532022343485 Training 0.1943279444382319 DIfference 4.3561252577961165 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 5 testing 4.313295859791106 Training 0.21118769327489037 DIfference 4.102108166516215 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 6 testing 4.09710474301246 Training 0.20688889663433657 DIfference 3.8902158463781236 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 7 testing 4.290673248277744 Training 0.22099693576520724 DIfference 4.069676312512537 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 8 testing 4.176629286754178 Training 0.2160323480131208 DIfference 3.960596938741057 max_depth: 9 subsample: 0.9 eta: 1 min_child_weight: 9 testing 4.210528024676023 Training 0.19662882036710572 DIfference 4.013899204308918 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 0 testing 3.045387397747254 Training 2.498365810702348 DIfference 0.547021587044906 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 1 testing 3.045387397747254 Training 2.498365810702348 DIfference 0.547021587044906 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 2 testing 2.9785855741181875 Training 2.5466692736863883 DIfference 0.4319163004317992 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 3 testing 2.94612926862319 Training 2.594920277166077 DIfference 0.35120899145711304 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 4 testing 2.9460857352882157 Training 2.6456267021984483 DIfference 0.3004590330897674 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 5 testing 2.951786262477981 Training 2.690933526563458 DIfference 0.26085273591452296 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 6 testing 2.905641037906753 Training 2.740401932712282 DIfference 0.16523910519447105 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 7 testing 2.9227387961989733 Training 2.7800778420732564 DIfference 0.1426609541257169 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 8 testing 2.8868930549302605 Training 2.8099035929552176 DIfference 0.07698946197504286 max_depth: 10 subsample: 0.5 eta: 0.01 min_child_weight: 9 testing 2.856957459409023 Training 2.839713148856794 DIfference 0.017244310552228637 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 0 testing 2.905046740541002 Training 0.24341765749009533 DIfference 2.6616290830509066 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 1 testing 2.905046740541002 Training 0.24341765749009533 DIfference 2.6616290830509066 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 2 testing 2.624939871794777 Training 0.2426871033346591 DIfference 2.382252768460118 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 3 testing 2.5552378406689966 Training 0.23596315437462181 DIfference 2.3192746862943747 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 4 testing 2.6924038162163924 Training 0.24231556521780376 DIfference 2.4500882509985886 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 5 testing 2.617995352734579 Training 0.24739352783395185 DIfference 2.370601824900627 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 6 testing 2.573038966167951 Training 0.2619093478139904 DIfference 2.3111296183539607 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 7 testing 2.6656617469910997 Training 0.2596700601667787 DIfference 2.405991686824321 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 8 testing 2.659530640608864 Training 0.2718323960007789 DIfference 2.387698244608085 max_depth: 10 subsample: 0.5 eta: 0.1 min_child_weight: 9 testing 2.510916003229795 Training 0.2785966666143698 DIfference 2.2323193366154253 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 0 testing 6.029206576832803 Training 0.21607611613710306 DIfference 5.8131304606957 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 1 testing 6.029206576832803 Training 0.21607611613710306 DIfference 5.8131304606957 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 2 testing 6.667948391422397 Training 0.21054446412534972 DIfference 6.457403927297047 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 3 testing 6.920321104995674 Training 0.21786501401802524 DIfference 6.702456090977648 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 4 testing 7.0579309902212115 Training 0.21891730282222852 DIfference 6.839013687398983 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 5 testing 8.89203141880571 Training 0.24942392518666262 DIfference 8.642607493619046 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 6 testing 8.631614010775229 Training 0.22616414844394764 DIfference 8.405449862331281 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 7 testing 7.949265956418822 Training 0.21865535736885958 DIfference 7.730610599049962 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 8 testing 7.808390113845235 Training 0.20673967906817173 DIfference 7.601650434777063 max_depth: 10 subsample: 0.5 eta: 1 min_child_weight: 9 testing 8.395039549312788 Training 0.2251610380713828 DIfference 8.169878511241405 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 0 testing 3.056139506335603 Training 2.4353928570687358 DIfference 0.6207466492668674 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 1 testing 3.056139506335603 Training 2.4353928570687358 DIfference 0.6207466492668674 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 2 testing 2.955133656488033 Training 2.493505016108975 DIfference 0.46162864037905793 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 3 testing 2.9282420797098894 Training 2.550648291001562 DIfference 0.37759378870832716 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 4 testing 2.9337000312574673 Training 2.6019204811464687 DIfference 0.3317795501109986 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 5 testing 2.9086550855485256 Training 2.6502265562432714 DIfference 0.2584285293052542 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 6 testing 2.9128871640947183 Training 2.6969264958648838 DIfference 0.2159606682298345 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 7 testing 2.882319255796028 Training 2.732909886357892 DIfference 0.14940936943813643 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 8 testing 2.8841922521300147 Training 2.7657409134928863 DIfference 0.11845133863712842 max_depth: 10 subsample: 0.55 eta: 0.01 min_child_weight: 9 testing 2.8778465146722736 Training 2.792884621083633 DIfference 0.0849618935886407 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 0 testing 2.6675360717636067 Training 0.23460894421700182 DIfference 2.432927127546605 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 1 testing 2.6675360717636067 Training 0.23460894421700182 DIfference 2.432927127546605 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 2 testing 2.414959965663729 Training 0.23891088374786906 DIfference 2.1760490819158598 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 3 testing 2.5861297979310622 Training 0.2320835655180013 DIfference 2.354046232413061 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 4 testing 2.5385255250672345 Training 0.24246576150698174 DIfference 2.296059763560253 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 5 testing 2.413420299516292 Training 0.24181609726381592 DIfference 2.1716042022524764 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 6 testing 2.6576409511326347 Training 0.2464342599023237 DIfference 2.411206691230311 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 7 testing 2.6874397764157036 Training 0.2515090860387621 DIfference 2.4359306903769413 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 8 testing 2.4701102609571537 Training 0.26140529272896756 DIfference 2.208704968228186 max_depth: 10 subsample: 0.55 eta: 0.1 min_child_weight: 9 testing 2.5144892015319784 Training 0.2579988854264634 DIfference 2.256490316105515 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 0 testing 5.19624298667186 Training 0.21326695891459369 DIfference 4.982976027757266 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 1 testing 5.19624298667186 Training 0.21326695891459369 DIfference 4.982976027757266 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 2 testing 5.755295377207221 Training 0.2047617444018316 DIfference 5.55053363280539 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 3 testing 5.5390697917726355 Training 0.19697143734148187 DIfference 5.342098354431154 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 4 testing 5.996750843053451 Training 0.21837774372607882 DIfference 5.778373099327371 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 5 testing 6.878433368651895 Training 0.2173602876589737 DIfference 6.661073080992922 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 6 testing 6.309308273898205 Training 0.2114538696128875 DIfference 6.097854404285318 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 7 testing 6.990259320224868 Training 0.20936553213978187 DIfference 6.780893788085086 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 8 testing 7.3131459283700675 Training 0.2160909718497553 DIfference 7.097054956520312 max_depth: 10 subsample: 0.55 eta: 1 min_child_weight: 9 testing 7.432995258813025 Training 0.2071982629610122 DIfference 7.225796995852013 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 0 testing 3.067133083328372 Training 2.390464457613416 DIfference 0.6766686257149557 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 1 testing 3.067133083328372 Training 2.390464457613416 DIfference 0.6766686257149557 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 2 testing 2.9927036971959753 Training 2.4404296303258484 DIfference 0.5522740668701269 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 3 testing 2.976161696430063 Training 2.5029253911912543 DIfference 0.47323630523880844 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 4 testing 2.9195943012076895 Training 2.5421046619355265 DIfference 0.37748963927216295 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 5 testing 2.8853340339439457 Training 2.594911516609136 DIfference 0.2904225173348096 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 6 testing 2.874061294546118 Training 2.639833807412328 DIfference 0.23422748713378994 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 7 testing 2.8780330486071763 Training 2.6812834867858326 DIfference 0.19674956182134373 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 8 testing 2.863434600800974 Training 2.720843433799584 DIfference 0.14259116700138996 max_depth: 10 subsample: 0.6 eta: 0.01 min_child_weight: 9 testing 2.858106088609202 Training 2.747579838640781 DIfference 0.1105262499684212 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 0 testing 2.441260268195765 Training 0.2413730517624774 DIfference 2.1998872164332877 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 1 testing 2.441260268195765 Training 0.2413730517624774 DIfference 2.1998872164332877 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 2 testing 2.5466146697930525 Training 0.23572639228336306 DIfference 2.3108882775096893 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 3 testing 2.5820939931611067 Training 0.23458574793767184 DIfference 2.347508245223435 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 4 testing 2.5273237695626447 Training 0.23530753459652057 DIfference 2.292016234966124 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 5 testing 2.410923074715538 Training 0.2387046887177146 DIfference 2.1722183859978235 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 6 testing 2.5742594146577176 Training 0.23800136672927893 DIfference 2.3362580479284385 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 7 testing 2.6970573730242906 Training 0.24491837597710805 DIfference 2.4521389970471827 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 8 testing 2.470017856598133 Training 0.2554822816914465 DIfference 2.214535574906687 max_depth: 10 subsample: 0.6 eta: 0.1 min_child_weight: 9 testing 2.5905208577925807 Training 0.25511652020245995 DIfference 2.335404337590121 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 0 testing 4.804565990431001 Training 0.2094093593949866 DIfference 4.595156631036015 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 1 testing 4.804565990431001 Training 0.2094093593949866 DIfference 4.595156631036015 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 2 testing 5.767919408768648 Training 0.2144642651417396 DIfference 5.553455143626909 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 3 testing 6.562809179286705 Training 0.1986747364888692 DIfference 6.364134442797836 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 4 testing 6.633125589817064 Training 0.2128744709253725 DIfference 6.4202511188916915 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 5 testing 5.79354030417162 Training 0.20832205513725058 DIfference 5.585218249034369 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 6 testing 4.81156183530693 Training 0.22259666946871828 DIfference 4.588965165838212 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 7 testing 5.132935299858218 Training 0.19817703623557464 DIfference 4.934758263622643 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 8 testing 5.767995264037745 Training 0.20964745400059553 DIfference 5.55834781003715 max_depth: 10 subsample: 0.6 eta: 1 min_child_weight: 9 testing 5.953342800127575 Training 0.2039510787749249 DIfference 5.74939172135265 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 0 testing 3.021552290901309 Training 2.3528357415654075 DIfference 0.6687165493359015 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 1 testing 3.021552290901309 Training 2.3528357415654075 DIfference 0.6687165493359015 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 2 testing 2.9493461437115913 Training 2.3922152112251043 DIfference 0.557130932486487 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 3 testing 2.9631124286504926 Training 2.4413489821160006 DIfference 0.521763446534492 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 4 testing 2.9159221133973916 Training 2.496243002459717 DIfference 0.4196791109376745 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 5 testing 2.8669875802879687 Training 2.5420323182117297 DIfference 0.32495526207623904 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 6 testing 2.9389269590203186 Training 2.589765141477498 DIfference 0.3491618175428206 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 7 testing 2.892818016029196 Training 2.624400900410385 DIfference 0.2684171156188109 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 8 testing 2.878501604060875 Training 2.662397407736474 DIfference 0.21610419632440125 max_depth: 10 subsample: 0.65 eta: 0.01 min_child_weight: 9 testing 2.8648052215285134 Training 2.6929317567562165 DIfference 0.1718734647722968 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 0 testing 2.5062134656647688 Training 0.22976683055749164 DIfference 2.276446635107277 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 1 testing 2.5062134656647688 Training 0.22976683055749164 DIfference 2.276446635107277 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 2 testing 2.449973193166079 Training 0.23052916251407524 DIfference 2.219444030652004 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 3 testing 2.611052906018449 Training 0.2357994346245606 DIfference 2.3752534713938886 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 4 testing 2.3920609855500516 Training 0.22803319948208 DIfference 2.1640277860679715 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 5 testing 2.6009334468806626 Training 0.2275042794101561 DIfference 2.3734291674705066 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 6 testing 2.4443486871721687 Training 0.24269578288723198 DIfference 2.201652904284937 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 7 testing 2.5419464540609624 Training 0.2451316881265181 DIfference 2.2968147659344442 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 8 testing 2.4966236161941198 Training 0.24032165215661128 DIfference 2.2563019640375086 max_depth: 10 subsample: 0.65 eta: 0.1 min_child_weight: 9 testing 2.5050326776399743 Training 0.24937960392692024 DIfference 2.255653073713054 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 0 testing 4.901838847651379 Training 0.19161551357634987 DIfference 4.710223334075029 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 1 testing 4.901838847651379 Training 0.19161551357634987 DIfference 4.710223334075029 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 2 testing 5.71063074444537 Training 0.22246578830397792 DIfference 5.488164956141392 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 3 testing 4.478751525835833 Training 0.19469521251739935 DIfference 4.284056313318433 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 4 testing 5.455872155661927 Training 0.2053108583514889 DIfference 5.250561297310438 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 5 testing 5.0338171291339675 Training 0.2154924569754965 DIfference 4.818324672158471 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 6 testing 4.567308137920918 Training 0.20331883309279672 DIfference 4.363989304828121 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 7 testing 6.133775024389616 Training 0.20208528789614016 DIfference 5.9316897364934755 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 8 testing 5.152717398590175 Training 0.21312234364061927 DIfference 4.939595054949556 max_depth: 10 subsample: 0.65 eta: 1 min_child_weight: 9 testing 5.225189098849659 Training 0.21220244514600684 DIfference 5.012986653703653 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 0 testing 3.107937684044009 Training 2.316750600226482 DIfference 0.791187083817527 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 1 testing 3.107937684044009 Training 2.316750600226482 DIfference 0.791187083817527 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 2 testing 3.0046805114659945 Training 2.354952451591897 DIfference 0.6497280598740973 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 3 testing 2.955303948390065 Training 2.408238958246592 DIfference 0.5470649901434728 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 4 testing 2.9793869838526006 Training 2.462026973928894 DIfference 0.5173600099237068 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 5 testing 2.97666770456708 Training 2.504766759443252 DIfference 0.4719009451238283 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 6 testing 2.9501544341852424 Training 2.5474938757083794 DIfference 0.402660558476863 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 7 testing 2.8760416889039333 Training 2.587434161389764 DIfference 0.2886075275141695 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 8 testing 2.916288489318686 Training 2.636449395810875 DIfference 0.2798390935078108 max_depth: 10 subsample: 0.7 eta: 0.01 min_child_weight: 9 testing 2.8925285959092433 Training 2.6572134380293493 DIfference 0.235315157879894 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 0 testing 2.502485196100315 Training 0.22546595061301358 DIfference 2.2770192454873017 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 1 testing 2.502485196100315 Training 0.22546595061301358 DIfference 2.2770192454873017 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 2 testing 2.4757236041885333 Training 0.23147589600541527 DIfference 2.244247708183118 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 3 testing 2.5743407955102158 Training 0.2264245200333082 DIfference 2.3479162754769076 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 4 testing 2.687483440391952 Training 0.2234089135683866 DIfference 2.4640745268235653 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 5 testing 2.5589851360127795 Training 0.23060396985513054 DIfference 2.328381166157649 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 6 testing 2.446637394890422 Training 0.22453258367539902 DIfference 2.222104811215023 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 7 testing 2.473550497047836 Training 0.23333915118257412 DIfference 2.240211345865262 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 8 testing 2.3501756076642777 Training 0.24111914932210413 DIfference 2.1090564583421734 max_depth: 10 subsample: 0.7 eta: 0.1 min_child_weight: 9 testing 2.4944971256016286 Training 0.25170213127017227 DIfference 2.2427949943314562 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 0 testing 5.15220788763254 Training 0.2100828959697133 DIfference 4.942124991662826 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 1 testing 5.15220788763254 Training 0.2100828959697133 DIfference 4.942124991662826 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 2 testing 4.854094346502097 Training 0.21272429328204856 DIfference 4.641370053220049 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 3 testing 4.895215003954945 Training 0.19570546410331088 DIfference 4.699509539851634 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 4 testing 5.859711328492267 Training 0.20233245028519176 DIfference 5.6573788782070755 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 5 testing 5.279960430128267 Training 0.1989947337605473 DIfference 5.08096569636772 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 6 testing 4.878114565816941 Training 0.2013805737421434 DIfference 4.676733992074798 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 7 testing 4.422577668639133 Training 0.19950298711838615 DIfference 4.223074681520747 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 8 testing 5.256153402343625 Training 0.20142969995245544 DIfference 5.05472370239117 max_depth: 10 subsample: 0.7 eta: 1 min_child_weight: 9 testing 4.891749324806733 Training 0.2268284186293992 DIfference 4.6649209061773345 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 0 testing 3.062455310806399 Training 2.2891829083673656 DIfference 0.7732724024390336 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 1 testing 3.062455310806399 Training 2.2891829083673656 DIfference 0.7732724024390336 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 2 testing 3.0131216687907 Training 2.3256083613947136 DIfference 0.6875133073959865 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 3 testing 3.0169782323588152 Training 2.378575624618679 DIfference 0.6384026077401361 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 4 testing 2.969944612478139 Training 2.427236427087337 DIfference 0.542708185390802 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 5 testing 2.928584204654908 Training 2.473910036503286 DIfference 0.4546741681516222 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 6 testing 2.9007900399912616 Training 2.5162580717872416 DIfference 0.38453196820402 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 7 testing 2.8773538989771623 Training 2.557122314973579 DIfference 0.3202315840035834 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 8 testing 2.8524534663942176 Training 2.5821836890031893 DIfference 0.2702697773910283 max_depth: 10 subsample: 0.75 eta: 0.01 min_child_weight: 9 testing 2.8286519069282803 Training 2.6195380731084796 DIfference 0.20911383381980064 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 0 testing 2.6390396794944535 Training 0.2274026535011621 DIfference 2.4116370259932913 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 1 testing 2.6390396794944535 Training 0.2274026535011621 DIfference 2.4116370259932913 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 2 testing 2.4784635123971386 Training 0.22660372332514575 DIfference 2.2518597890719927 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 3 testing 2.5616781101038213 Training 0.22665058206637492 DIfference 2.3350275280374464 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 4 testing 2.5891195191943552 Training 0.23307446353137493 DIfference 2.3560450556629804 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 5 testing 2.586848982790252 Training 0.2309583934282677 DIfference 2.3558905893619846 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 6 testing 2.604165853484301 Training 0.22928722799988463 DIfference 2.3748786254844165 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 7 testing 2.5631257609988096 Training 0.23344421223478598 DIfference 2.3296815487640234 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 8 testing 2.588382781000109 Training 0.23469662974821404 DIfference 2.353686151251895 max_depth: 10 subsample: 0.75 eta: 0.1 min_child_weight: 9 testing 2.450392896629637 Training 0.24307808972015563 DIfference 2.2073148069094817 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 0 testing 4.861284341820283 Training 0.19910230891546235 DIfference 4.662182032904821 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 1 testing 4.861284341820283 Training 0.19910230891546235 DIfference 4.662182032904821 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 2 testing 4.410120430443203 Training 0.2031676488980237 DIfference 4.206952781545179 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 3 testing 4.996355730044888 Training 0.1935390637282075 DIfference 4.80281666631668 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 4 testing 4.558548755646916 Training 0.20472787937485717 DIfference 4.353820876272058 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 5 testing 4.859452510363189 Training 0.21403740802521093 DIfference 4.645415102337978 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 6 testing 5.693826786027057 Training 0.20608011758110176 DIfference 5.487746668445956 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 7 testing 4.685679961222922 Training 0.21702515978185047 DIfference 4.468654801441072 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 8 testing 4.795312322635437 Training 0.2169214394952481 DIfference 4.578390883140188 max_depth: 10 subsample: 0.75 eta: 1 min_child_weight: 9 testing 4.7530480279645415 Training 0.20750205023731622 DIfference 4.545545977727225 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 0 testing 3.0454748973657844 Training 2.263832844247938 DIfference 0.7816420531178463 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 1 testing 3.0454748973657844 Training 2.263832844247938 DIfference 0.7816420531178463 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 2 testing 3.012104092579102 Training 2.2972065917565487 DIfference 0.7148975008225533 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 3 testing 3.013843127229484 Training 2.3436481723186766 DIfference 0.6701949549108073 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 4 testing 2.9620504541147965 Training 2.39111960426154 DIfference 0.5709308498532564 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 5 testing 2.938879152276786 Training 2.429841497944047 DIfference 0.5090376543327388 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 6 testing 2.9283680305292363 Training 2.4734739994410324 DIfference 0.4548940310882039 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 7 testing 2.9197482986201067 Training 2.5052755407652714 DIfference 0.4144727578548353 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 8 testing 2.89171475408948 Training 2.5410470443195665 DIfference 0.35066770976991357 max_depth: 10 subsample: 0.8 eta: 0.01 min_child_weight: 9 testing 2.8551747045305094 Training 2.573821111672765 DIfference 0.2813535928577444 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 0 testing 2.660669370641699 Training 0.21681350391461618 DIfference 2.443855866727083 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 1 testing 2.660669370641699 Training 0.21681350391461618 DIfference 2.443855866727083 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 2 testing 2.515023823705269 Training 0.21937096516808702 DIfference 2.2956528585371823 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 3 testing 2.748982493375661 Training 0.23247657262901258 DIfference 2.5165059207466483 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 4 testing 2.6331727256590964 Training 0.21747607089346274 DIfference 2.4156966547656338 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 5 testing 2.498125450121006 Training 0.2236909428288022 DIfference 2.274434507292204 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 6 testing 2.78730451487354 Training 0.22814391888290023 DIfference 2.55916059599064 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 7 testing 2.5475370225671212 Training 0.2291028733921444 DIfference 2.3184341491749767 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 8 testing 2.5820838374842423 Training 0.23537299018870625 DIfference 2.3467108472955363 max_depth: 10 subsample: 0.8 eta: 0.1 min_child_weight: 9 testing 2.752153950679349 Training 0.24019030540301983 DIfference 2.511963645276329 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 0 testing 4.434701745997882 Training 0.18952767827108297 DIfference 4.245174067726799 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 1 testing 4.434701745997882 Training 0.18952767827108297 DIfference 4.245174067726799 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 2 testing 4.794382071465952 Training 0.19797109333513718 DIfference 4.596410978130815 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 3 testing 4.744274989591213 Training 0.202631821797695 DIfference 4.541643167793518 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 4 testing 4.5805245971481785 Training 0.20388587300225886 DIfference 4.37663872414592 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 5 testing 4.911552552710054 Training 0.20135039006127045 DIfference 4.710202162648784 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 6 testing 4.889911937195575 Training 0.20745959783930124 DIfference 4.682452339356274 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 7 testing 4.829922803869704 Training 0.20188026678256898 DIfference 4.6280425370871345 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 8 testing 4.214175156556303 Training 0.1982163109855416 DIfference 4.015958845570761 max_depth: 10 subsample: 0.8 eta: 1 min_child_weight: 9 testing 4.979052036307985 Training 0.20078638750387148 DIfference 4.778265648804114 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 0 testing 3.033541792858159 Training 2.2396803340861675 DIfference 0.7938614587719917 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 1 testing 3.033541792858159 Training 2.2396803340861675 DIfference 0.7938614587719917 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 2 testing 3.015716733917361 Training 2.2700615671398636 DIfference 0.7456551667774973 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 3 testing 3.073035808542045 Training 2.315952411960138 DIfference 0.757083396581907 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 4 testing 3.0068559846666174 Training 2.35541801748461 DIfference 0.6514379671820074 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 5 testing 2.969023414590629 Training 2.4002057094502054 DIfference 0.5688177051404235 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 6 testing 2.9657485685136633 Training 2.4382543275546698 DIfference 0.5274942409589936 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 7 testing 2.9481240892258938 Training 2.4759478438606797 DIfference 0.4721762453652141 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 8 testing 2.956986401526956 Training 2.506893809945581 DIfference 0.4500925915813747 max_depth: 10 subsample: 0.85 eta: 0.01 min_child_weight: 9 testing 2.906939361541299 Training 2.5384054618305525 DIfference 0.36853389971074657 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 0 testing 2.546302831644425 Training 0.22487116211688973 DIfference 2.321431669527535 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 1 testing 2.546302831644425 Training 0.22487116211688973 DIfference 2.321431669527535 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 2 testing 2.5263457450841087 Training 0.22474727171162764 DIfference 2.301598473372481 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 3 testing 2.5318622131308075 Training 0.22411375164131944 DIfference 2.307748461489488 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 4 testing 2.5460958881361875 Training 0.22399217600468546 DIfference 2.322103712131502 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 5 testing 2.5372762813640293 Training 0.22256972638165784 DIfference 2.3147065549823713 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 6 testing 2.5621890087088106 Training 0.22838917342402662 DIfference 2.333799835284784 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 7 testing 2.576993224135367 Training 0.23407470587925572 DIfference 2.3429185182561114 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 8 testing 2.5034469671023545 Training 0.23137164863292128 DIfference 2.272075318469433 max_depth: 10 subsample: 0.85 eta: 0.1 min_child_weight: 9 testing 2.5937956561741884 Training 0.23616286256583408 DIfference 2.3576327936083543 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 0 testing 4.358235912310192 Training 0.20425581126991246 DIfference 4.15398010104028 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 1 testing 4.358235912310192 Training 0.20425581126991246 DIfference 4.15398010104028 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 2 testing 4.104915102903033 Training 0.2098251554248337 DIfference 3.895089947478199 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 3 testing 4.006945785047719 Training 0.20514813909410604 DIfference 3.8017976459536134 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 4 testing 4.012014217831893 Training 0.20340709623156322 DIfference 3.8086071216003297 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 5 testing 4.244400691980263 Training 0.19874266417464242 DIfference 4.0456580278056204 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 6 testing 3.86751649377984 Training 0.21298079062253236 DIfference 3.6545357031573076 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 7 testing 4.840906807902502 Training 0.20789910071503578 DIfference 4.633007707187466 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 8 testing 4.1110839004220905 Training 0.1968698986314444 DIfference 3.914214001790646 max_depth: 10 subsample: 0.85 eta: 1 min_child_weight: 9 testing 4.275832267740043 Training 0.197273718405308 DIfference 4.078558549334735 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 0 testing 3.0872500581492206 Training 2.2265316906980135 DIfference 0.8607183674512071 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 1 testing 3.0872500581492206 Training 2.2265316906980135 DIfference 0.8607183674512071 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 2 testing 3.018161527608754 Training 2.253539693822515 DIfference 0.7646218337862392 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 3 testing 3.0367049188527746 Training 2.2972060510241943 DIfference 0.7394988678285803 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 4 testing 3.0126340074290057 Training 2.3339690243307913 DIfference 0.6786649830982143 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 5 testing 2.9663448295381385 Training 2.3711690143914894 DIfference 0.5951758151466491 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 6 testing 2.9542416057374794 Training 2.413350573531352 DIfference 0.5408910322061273 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 7 testing 2.9800293130625506 Training 2.4519081842516446 DIfference 0.528121128810906 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 8 testing 2.9401573343027847 Training 2.486807679272412 DIfference 0.45334965503037283 max_depth: 10 subsample: 0.9 eta: 0.01 min_child_weight: 9 testing 2.930880742991576 Training 2.517414935632971 DIfference 0.41346580735860483 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 0 testing 2.76865010165493 Training 0.22175556030771176 DIfference 2.546894541347218 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 1 testing 2.76865010165493 Training 0.22175556030771176 DIfference 2.546894541347218 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 2 testing 2.59740186688141 Training 0.22204575762540724 DIfference 2.3753561092560025 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 3 testing 2.5034848384733777 Training 0.2217848176123678 DIfference 2.2817000208610096 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 4 testing 2.516801433562068 Training 0.21873607848926138 DIfference 2.2980653550728065 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 5 testing 2.595981421455508 Training 0.22445816326782936 DIfference 2.3715232581876786 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 6 testing 2.818633179663448 Training 0.2344548472410275 DIfference 2.5841783324224203 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 7 testing 2.492094162927242 Training 0.2301322305497403 DIfference 2.2619619323775018 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 8 testing 2.623821032518754 Training 0.2387390819701573 DIfference 2.3850819505485967 max_depth: 10 subsample: 0.9 eta: 0.1 min_child_weight: 9 testing 2.569188688270515 Training 0.23603258287120196 DIfference 2.333156105399313 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 0 testing 4.422372801759048 Training 0.20565110758438498 DIfference 4.216721694174662 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 1 testing 4.4223865346692035 Training 0.2056521711961573 DIfference 4.216734363473046 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 2 testing 4.236446206556866 Training 0.19448958788351672 DIfference 4.041956618673349 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 3 testing 3.474020764796296 Training 0.2075273443893012 DIfference 3.2664934204069946 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 4 testing 4.647263260843465 Training 0.21836888367542998 DIfference 4.428894377168035 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 5 testing 4.628929424280068 Training 0.20251396612600528 DIfference 4.426415458154063 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 6 testing 4.324251588823972 Training 0.1962370242470772 DIfference 4.128014564576895 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 7 testing 3.9622010917810258 Training 0.19697524919562662 DIfference 3.7652258425853993 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 8 testing 3.7399910669599192 Training 0.1958925710292533 DIfference 3.544098495930666 max_depth: 10 subsample: 0.9 eta: 1 min_child_weight: 9 testing 4.443882205494447 Training 0.22232424698692435 DIfference 4.221557958507522
# min_value = (min(np.array(mae_list)[:,-1]))
index = np.argmin(np.array(mae_list)[:,-3])
# print(mae_list[index])
for i in range(len(mae_list)):
if np.array(mae_list)[i,-3] < 2.5 and np.array(mae_list)[i,-2] > 0.5: # and np.array(mae_list)[i,-1] < 2:
print(mae_list[i])
[1, 0.5, 0.1, 0, 2.2996342487225774, 2.623052815334975, -0.32341856661239765] [1, 0.5, 0.1, 1, 2.2996342487225774, 2.623052815334975, -0.32341856661239765] [1, 0.5, 0.1, 2, 2.2996342487225774, 2.623052815334975, -0.32341856661239765] [1, 0.5, 0.1, 3, 2.372134185797768, 2.648199077398102, -0.2760648916003343] [1, 0.5, 0.1, 4, 2.398673883435549, 2.648041953833308, -0.24936807039775877] [1, 0.5, 0.1, 5, 2.4391688375442753, 2.648159193043183, -0.20899035549890765] [1, 0.5, 0.1, 6, 2.4392859115672763, 2.6476288802882966, -0.20834296872102032] [1, 0.5, 0.1, 7, 2.4066488637879955, 2.648167041890944, -0.2415181781029485] [1, 0.5, 0.1, 8, 2.4033870696963278, 2.6468850649750997, -0.24349799527877192] [1, 0.5, 0.1, 9, 2.4367172040918375, 2.651963573884374, -0.21524636979253664] [1, 0.55, 0.1, 0, 2.3464756946370473, 2.628684176448991, -0.2822084818119439] [1, 0.55, 0.1, 1, 2.3464756946370473, 2.628684176448991, -0.2822084818119439] [1, 0.55, 0.1, 2, 2.3464756946370473, 2.628684176448991, -0.2822084818119439] [1, 0.55, 0.1, 3, 2.4333803987305145, 2.6678753445985626, -0.2344949458680481] [1, 0.55, 0.1, 4, 2.444801491725957, 2.672746606619977, -0.22794511489402014] [1, 0.55, 0.1, 5, 2.4765110511623787, 2.6620352141145203, -0.18552416295214158] [1, 0.55, 0.1, 6, 2.46053162572789, 2.6661063606553297, -0.20557473492743972] [1, 0.55, 0.1, 7, 2.4083481264009605, 2.652572625587022, -0.24422449918606137] [1, 0.55, 0.1, 8, 2.459502908674767, 2.6706536189226124, -0.21115071024784537] [1, 0.55, 0.1, 9, 2.4808033876295665, 2.661884990907533, -0.18108160327796652] [1, 0.6, 0.1, 0, 2.44373748874641, 2.6341927738213498, -0.1904552850749397] [1, 0.6, 0.1, 1, 2.44373748874641, 2.6341927738213498, -0.1904552850749397] [1, 0.6, 0.1, 2, 2.44373748874641, 2.6341927738213498, -0.1904552850749397] [1, 0.65, 0.1, 0, 2.4194311866711358, 2.609861118105861, -0.1904299314347253] [1, 0.65, 0.1, 1, 2.4194311866711358, 2.609861118105861, -0.1904299314347253] [1, 0.65, 0.1, 2, 2.4194311866711358, 2.609861118105861, -0.1904299314347253] [1, 0.65, 0.1, 5, 2.4949810218822677, 2.630018765029187, -0.1350377431469192] [1, 0.65, 0.1, 7, 2.460361033451045, 2.634328949190159, -0.17396791573911408] [1, 0.65, 0.1, 8, 2.486803060543025, 2.629274243993374, -0.14247118345034915] [1, 0.7, 0.1, 0, 2.443786339770304, 2.5823906170579396, -0.13860427728763547] [1, 0.7, 0.1, 1, 2.443786339770304, 2.5823906170579396, -0.13860427728763547] [1, 0.7, 0.1, 2, 2.443786339770304, 2.5823906170579396, -0.13860427728763547] [1, 0.7, 0.1, 6, 2.488408146862639, 2.616775342732823, -0.12836719587018397] [1, 0.75, 0.1, 0, 2.3821611156512517, 2.6116050463816567, -0.22944393073040503] [1, 0.75, 0.1, 1, 2.3821611156512517, 2.6116050463816567, -0.22944393073040503] [1, 0.75, 0.1, 2, 2.3821611156512517, 2.6116050463816567, -0.22944393073040503] [1, 0.75, 0.1, 3, 2.4786282081680837, 2.641007672421013, -0.16237946425292948] [1, 0.75, 0.1, 4, 2.476307375921169, 2.6381636034684357, -0.16185622754726658] [1, 0.75, 0.1, 5, 2.4806310644198675, 2.6457031016910655, -0.165072037271198] [1, 0.75, 0.1, 6, 2.4737800960603638, 2.638874865428079, -0.16509476936771517] [1, 0.75, 0.1, 7, 2.4818793783138973, 2.6335351453382625, -0.15165576702436523] [1, 0.75, 0.1, 8, 2.474881495471345, 2.6352417311165484, -0.1603602356452032] [1, 0.75, 0.1, 9, 2.4917120456753765, 2.6395488113863395, -0.14783676571096294] [1, 0.8, 0.1, 0, 2.4909149999788496, 2.617127597923132, -0.1262125979442823] [1, 0.8, 0.1, 1, 2.4909149999788496, 2.617127597923132, -0.1262125979442823] [1, 0.8, 0.1, 2, 2.4909149999788496, 2.617127597923132, -0.1262125979442823] [1, 0.85, 0.1, 0, 2.417493615153944, 2.6016862727326546, -0.1841926575787105] [1, 0.85, 0.1, 1, 2.417493615153944, 2.6016862727326546, -0.1841926575787105] [1, 0.85, 0.1, 2, 2.417493615153944, 2.6016862727326546, -0.1841926575787105] [1, 0.85, 0.1, 3, 2.471531458845129, 2.6323121497912023, -0.16078069094607317] [1, 0.85, 0.1, 4, 2.4802605037752072, 2.626731567807858, -0.14647106403265076] [1, 0.85, 0.1, 5, 2.464174780860776, 2.628410482834766, -0.16423570197399018] [1, 0.85, 0.1, 6, 2.43580999756814, 2.6316197941079738, -0.19580979653983377] [1, 0.85, 0.1, 7, 2.479472205165075, 2.632471943433241, -0.15299973826816604] [1, 0.85, 0.1, 8, 2.462806746485876, 2.6357375570960966, -0.17293081061022075] [1, 0.85, 0.1, 9, 2.450430414202856, 2.6462656570029344, -0.19583524280007847] [1, 0.9, 0.1, 0, 2.43535225581727, 2.6249202011993877, -0.18956794538211774] [1, 0.9, 0.1, 1, 2.43535225581727, 2.6249202011993877, -0.18956794538211774] [1, 0.9, 0.1, 2, 2.43535225581727, 2.6249202011993877, -0.18956794538211774] [2, 0.5, 0.1, 2, 2.455182772612898, 1.8592599923929407, 0.5959227802199571] [2, 0.5, 0.1, 3, 2.491492763982387, 1.8653445896640835, 0.6261481743183037] [2, 0.65, 0.1, 4, 2.4906609773577655, 1.8466325735026556, 0.6440284038551098] [2, 0.65, 0.1, 5, 2.4290448322251903, 1.8484210527204494, 0.5806237795047409] [2, 0.65, 0.1, 6, 2.490101531014079, 1.8322449459513235, 0.6578565850627556] [2, 0.65, 0.1, 7, 2.4993069348216523, 1.8625509761183316, 0.6367559587033207] [2, 0.65, 0.1, 8, 2.456461155420402, 1.9124340124169572, 0.5440271430034447] [2, 0.75, 0.1, 7, 2.47891264676, 1.8434833338005572, 0.6354293129594428] [2, 0.75, 0.1, 8, 2.497564403520664, 1.8459876170174943, 0.6515767865031699] [2, 0.75, 0.1, 9, 2.4968179759860503, 1.8480528950212627, 0.6487650809647876] [3, 0.55, 0.1, 0, 2.4748234872764443, 1.0384769372021159, 1.4363465500743284] [3, 0.55, 0.1, 1, 2.4748234872764443, 1.0384769372021159, 1.4363465500743284] [3, 0.55, 0.1, 3, 2.4615519995510113, 1.051296135432656, 1.4102558641183554] [3, 0.55, 0.1, 5, 2.463986930361716, 1.1275489435285433, 1.3364379868331726] [3, 0.55, 0.1, 7, 2.368187940592179, 1.2087500299482297, 1.1594379106439494] [3, 0.55, 0.1, 8, 2.449596765980823, 1.2420064198771594, 1.2075903461036634] [3, 0.55, 0.1, 9, 2.4808974122919607, 1.269211376837403, 1.2116860354545578] [3, 0.6, 0.1, 0, 2.3750548085954506, 0.9954570711047078, 1.3795977374907427] [3, 0.6, 0.1, 1, 2.3750548085954506, 0.9954570711047078, 1.3795977374907427] [3, 0.6, 0.1, 4, 2.490884434693726, 1.0759598807302406, 1.4149245539634852] [3, 0.65, 0.1, 2, 2.4692194189934527, 1.0143888026385361, 1.4548306163549165] [3, 0.7, 0.1, 2, 2.456407073017908, 1.002783058597965, 1.4536240144199433] [3, 0.7, 0.1, 9, 2.4042988691187928, 1.138063063153014, 1.2662358059657788] [3, 0.8, 0.1, 8, 2.4973203983099665, 1.0784187291554796, 1.418901669154487] [3, 0.9, 0.1, 2, 2.4775105991226156, 0.9729715192690491, 1.5045390798535665] [3, 0.9, 0.1, 7, 2.4467156324128156, 1.095793320343364, 1.3509223120694516] [4, 0.55, 0.1, 8, 2.418994041433325, 0.6947494620327941, 1.7242445794005308] [4, 0.55, 0.1, 9, 2.4037089919729624, 0.7409149246872403, 1.6627940672857222] [4, 0.6, 0.1, 5, 2.451594619714888, 0.5476837917049933, 1.9039108280098946] [4, 0.6, 0.1, 9, 2.4902278790425045, 0.6883268686528835, 1.8019010103896211] [4, 0.65, 0.1, 9, 2.4884946145757567, 0.6558376866535076, 1.832656927922249] [4, 0.7, 0.1, 7, 2.4001173562777693, 0.5632326574465777, 1.8368846988311915] [4, 0.7, 0.1, 8, 2.414928561664419, 0.5967028682107209, 1.8182256934536982] [4, 0.7, 0.1, 9, 2.4499888138787353, 0.6521497580339201, 1.7978390558448152] [4, 0.75, 0.1, 7, 2.430743477790384, 0.5521824848980436, 1.8785609928923401] [4, 0.9, 0.1, 7, 2.4739600200613494, 0.5216552043592351, 1.9523048157021143]
depth = [1,2,3,4,5,6,7,8,9,10]
subsample_set = [0.5, 0.55, 0.60, 0.65, 0.70, 0.75, 0.80, 0.85, 0.90]
res_max_depth_subsample_training = []
res_max_depth_subsample_validation = []
for max_depth in depth:
training_tmp = []
validation_tmp = []
for subsample in subsample_set:
min_tmp = []
for i in range(len(mae_list)):
if mae_list[i][0] == max_depth and subsample == mae_list[i][1]:
min_tmp.append(mae_list[i][4:6])
min_tmp.sort(key= lambda l:l[0])
training_tmp.append(min_tmp[0][1])
validation_tmp.append(min_tmp[0][0])
res_max_depth_subsample_training.append(training_tmp)
res_max_depth_subsample_validation.append(validation_tmp)
# res_max_depth_subsample.append([max_depth,subsample ,min_tmp[0][0],min_tmp[0][1]])
print(len(res_max_depth_subsample_training[0]))
9
def plot_grid_search(matrix, para1, para2, para1_name, para2_name, set_name):
sns.set_style(style='white')
sns.set_style("ticks")
fig, ax = plt.subplots(figsize=(3.5, 3.5) ,dpi=300, facecolor='w', edgecolor='k', )
plt.subplots_adjust(left=0.4/3.5, right=3.1/3.5, top=3.1/3.5, bottom=0.4/3.5)
im = ax.imshow(matrix)
ax.set_xticks(np.arange(0, len(matrix[0])))
ax.set_xticklabels(para2, ha = 'center', va='top', rotation=-40, fontsize = 10) #rotation_mode="anchor",
ax.set_yticks(np.arange(0, len(matrix)))
ax.set_yticklabels(para1, ha = 'right', va='center', rotation=0, rotation_mode="anchor", fontsize = 10)
ax.set_ylabel( para1_name)
ax.set_xlabel(para2_name)
for i in range(len(matrix)):
for j in range(len(matrix[0])):
text = ax.text(j, i, np.around(matrix[i][j], decimals=2),
ha="center", va="center", color="w", fontsize = 6)
fig.suptitle("{} VS {} for {} set (MAE)".format(para1_name, para2_name, set_name), fontsize = 8,x = 0.55,y=0.92)
fig.tight_layout()
fig.savefig("./SI/1.XGBoost_{}_vs_{}_{}_set.png".format(para1_name, para2_name, set_name))
plot_grid_search(res_max_depth_subsample_training, depth, subsample_set, "max_depth", "subsample", "training")
plot_grid_search(res_max_depth_subsample_validation, depth, subsample_set,"max_depth", "subsample" , "validation")
depth = [1,2,3,4,5,6,7,8,9,10]
min_child_weight_list = [0,1,2,3,4,5,6,7,8,9]
res_max_depth_min_child_weight_training = []
res_max_depth_min_child_weight_validation = []
for max_depth in depth:
training_tmp = []
validation_tmp = []
for min_child_weight in min_child_weight_list:
min_tmp = []
for i in range(len(mae_list)):
if mae_list[i][0] == max_depth and min_child_weight == mae_list[i][3]:
min_tmp.append(mae_list[i][4:6])
min_tmp.sort(key= lambda l:l[0])
training_tmp.append(min_tmp[0][1])
validation_tmp.append(min_tmp[0][0])
res_max_depth_min_child_weight_training.append(training_tmp)
res_max_depth_min_child_weight_validation.append(validation_tmp)
# res_max_depth_subsample.append([max_depth,subsample ,min_tmp[0][0],min_tmp[0][1]])
plot_grid_search(res_max_depth_min_child_weight_training, depth, min_child_weight_list, "max_depth", "min_child_weight", "training")
plot_grid_search(res_max_depth_min_child_weight_validation, depth, min_child_weight_list, "max_depth", "min_child_weight", "validation")
subsample_set = [0.5, 0.55, 0.60, 0.65, 0.70, 0.75, 0.80, 0.85, 0.90]
min_child_weight_list = [0,1,2,3,4,5,6,7,8,9]
res_subsample_set_min_child_weight_training = []
res_subsample_set_min_child_weight_validation = []
for subsample in subsample_set:
training_tmp = []
validation_tmp = []
for min_child_weight in min_child_weight_list:
min_tmp = []
for i in range(len(mae_list)):
if mae_list[i][1] == subsample and min_child_weight == mae_list[i][3]:
min_tmp.append(mae_list[i][4:6])
min_tmp.sort(key= lambda l:l[0])
training_tmp.append(min_tmp[0][1])
validation_tmp.append(min_tmp[0][0])
res_subsample_set_min_child_weight_training.append(training_tmp)
res_subsample_set_min_child_weight_validation.append(validation_tmp)
# res_max_depth_subsample.append([max_depth,subsample ,min_tmp[0][0],min_tmp[0][1]])
print(len(res_subsample_set_min_child_weight_training))
9
print(len(res_subsample_set_min_child_weight_training[0]))
10
plot_grid_search(res_subsample_set_min_child_weight_training, subsample_set, min_child_weight_list, "subsample", "min_child_weight", "training")
plot_grid_search(res_subsample_set_min_child_weight_validation, subsample_set, min_child_weight_list, "subsample", "min_child_weight", "validation")
