Model,MAE,MAPE,Accuracy
LinearRegression,22.45,11.05,88.95
Lasso,33.0,16.36,83.64
ElasticNet,35.6,17.65,82.35
KNeighborsRegressor,34.23,16.62,83.38
SVR,35.02,17.06,82.94
DecisionTreeRegressor,24.64,11.72,88.28
AdaBoostRegressor,30.12,14.71,85.29
GradientBoostingRegressor,24.01,11.88,88.12
RandomForestRegressor,20.66,9.84,90.16