0.62591687, 0.62591687, 0.62591687, 0.62591687, 0.62591687,
0.62591687, 0.62591687, 0.62591687, 0.62591687, 0.62591687,
0.62591687, 0.62591687, 0.62591687, 0.7799511 , 0.94621027,
0.96577017, 0.62591687, 0.62591687, 0.62591687, 0.62591687,
0.78484108, 0.94621027, 0.9804401 , 0.99266504, 1. ,
1. , 1. , 1. , 0.94621027, 0.97799511,
0.99266504, 1. , 1. , 1. , 1. ,
1. , 0.97799511, 0.98777506, 0.99511002, 1. ,
1. , 1. , 1. , 1. , 0.98533007,
0.99266504, 1. , 1. , 1. , 1. ,
1. , 1. ])
전체 훈련 점수의 평균값은 'mean_train_score' 키에 저장되어 있습니다.
>>> gs.cv_results_['mean_train_score']
array([0.6402928 , 0.93724074, 0.97240801, 0.98510406, 0.98803447,
0.99145447, 0.99707019, 0.9992677 , 0.62637307, 0.62637307,
0.62637307, 0.62637307, 0.62637307, 0.62637307, 0.62637307,
0.62637307, 0.62637307, 0.62637307, 0.62637307, 0.62637307,
0.62637307, 0.62637307, 0.62637307, 0.62637307, 0.62637307,
0.62637307, 0.62637307, 0.62637307, 0.62637307, 0.62637307,
0.62637307, 0.62637307, 0.62637307, 0.77070249, 0.94700817,
0.97167094, 0.62637307, 0.62637307, 0.62637307, 0.62637307,
0.77949371, 0.94725326, 0.97704753, 0.99291848, 1. ,
1. , 1. , 1. , 0.94652096, 0.97753354,
0.99023257, 1. , 1. , 1. , 1. ,
1. , 0.97680064, 0.98852287, 0.99755799, 1. ,
1. , 1. , 1. , 1. , 0.98803387,
0.99291848, 1. , 1. , 1. , 1. ,
1. , 1. ])