>>> sk = pd.read_csv('sklearn-results.txt', delim_whitespace=True)
>>> sk = sk.set_index('name')
>>> ds = pd.read_csv('dsbox-results-all.txt', delim_whitespace=True)
>>> ds = ds.set_index('name')
>>> all = ds.join(sk, how='inner', lsuffix='_dsbox', rsuffix='_sklearn')
>>> all.to_csv('join-results.csv')
>>> mse = all.loc[j['metric']=='meanSquaredError']
>>> f1 = all.loc[j['metric']!='meanSquaredError']
>>> (f1['value_dsbox'] > f1['value_sklearn']).sum()
64
>>> (f1['value_dsbox'] == f1['value_sklearn']).sum()
8
>>> (f1['value_dsbox'] < f1['value_sklearn']).sum()
55
>>> (mse['value_dsbox'] < mse['value_sklearn']).sum()
22
>>> (mse['value_dsbox'] == mse['value_sklearn']).sum()
1
>>> (mse['value_dsbox'] > mse['value_sklearn']).sum()
35
>>> f1.shape
(127, 3)
>>> mse.shape
(58, 3)