grid_fit.cv_results_

gistfile1.txt

{
  'mean_fit_time': array([ 0.0004015 ,  0.00032099,  0.00032695,  0.00034134]),
  'std_fit_time': array([  3.56837565e-05,   5.58915169e-06,   6.80595845e-06, 1.92960365e-05]),
  'mean_score_time': array([ 0.00066821,  0.00055901,  0.00057427,  0.0005753 ]),
  'std_score_time': array([  1.54544330e-04,   9.66763738e-06,   3.52108718e-05, 4.77900908e-05]),
  'param_max_depth': masked_array(data = [3 3 4 4], mask = [False False False False], fill_value = ?),
  'param_min_samples_leaf': masked_array(data = [1 2 1 2], mask = [False False False False], fill_value = ?),
  'param_min_samples_split': masked_array(data = [2 2 2 2], mask = [False False False False], fill_value = ?),
  'params': [
    {'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2},
    {'max_depth': 3, 'min_samples_leaf': 2, 'min_samples_split': 2},
    {'max_depth': 4, 'min_samples_leaf': 1, 'min_samples_split': 2},
    {'max_depth': 4, 'min_samples_leaf': 2, 'min_samples_split': 2}
  ],
    'split0_test_score': array([ 0.71428571,  0.71428571,  0.69230769,  0.73333333]),
    'split1_test_score': array([ 0.76923077,  0.76923077,  0.66666667,  0.68965517]),
    'split2_test_score': array([ 0.72      ,  0.72      ,  0.71428571,  0.71428571]),
    'mean_test_score': array([ 0.73468681,  0.73468681,  0.6907967 ,  0.71240148]),
    'std_test_score': array([ 0.02476502,  0.02476502,  0.01940609,  0.01799021]),
    'rank_test_score': array([1, 1, 4, 3], dtype=int32),
    'split0_train_score': array([ 0.85714286,  0.83333333,  0.875     ,  0.88461538]),
    'split1_train_score': array([ 0.77777778,  0.77777778,  0.84210526,  0.82142857]),
    'split2_train_score': array([ 0.81481481,  0.81481481,  0.84745763,  0.84745763]),
    'mean_train_score': array([ 0.81657848,  0.80864198,  0.8548543 ,  0.85116719]),
    'std_train_score': array([ 0.03242465,  0.02309665,  0.01441178,  0.02592893])
}