{'rank_test_score': array([16, 15, 4, 9, 17, 18, 19, 13, 1, 11, 12, 19, 3, 6, 7, 10, 14,
5, 7, 2], dtype=int32), 'split0_train_score': array([ 0.88368201, 0.86945607, 0.99330544, 0.97991632, 0.88117155,
0.86527197, 0.83430962, 0.87866109, 1. , 0.86025105,
0.90041841, 0.87029289, 0.99414226, 0.9832636 , 0.97824268,
0.89037657, 0.86276151, 0.98410042, 0.98493724, 0.9958159 ]), 'split2_test_score': array([ 0.85234899, 0.84731544, 0.95469799, 0.94463087, 0.83724832,
0.81711409, 0.84228188, 0.83557047, 0.9614094 , 0.87416107,
0.8557047 , 0.85234899, 0.95805369, 0.94295302, 0.95302013,
0.8590604 , 0.86744966, 0.95469799, 0.94798658, 0.96644295]), 'param_min_samples_leaf': masked_array(data = [9 4 7 7 8 2 9 6 2 10 5 5 1 6 10 10 8 6 9 5],
mask = [False False False False False False False False False False False False
False False False False False False False False],
fill_value = ?)
, 'mean_fit_time': array([ 0.09195463, 0.0722816 , 0.10614999, 0.08172727, 0.07774099,
0.08452264, 0.07902869, 0.07496532, 0.10880129, 0.08353933,
0.08143838, 0.07280866, 0.13238804, 0.09332204, 0.09114242,
0.07530332, 0.06995106, 0.09928799, 0.10337869, 0.14979474]), 'param_min_samples_split': masked_array(data = [8 5 7 5 2 8 9 4 6 7 2 3 10 10 10 7 5 10 4 3],
mask = [False False False False False False False False False False False False
False False False False False False False False],
fill_value = ?)
, 'std_test_score': array([ 0.01050461, 0.01239625, 0.00063142, 0.00451079, 0.00661155,
0.02047516, 0.03274582, 0.00876228, 0.00693847, 0.01728177,
0.00676041, 0.0155871 , 0.00171784, 0.00216783, 0.00884629,
0.00438265, 0.01787916, 0.00664389, 0.00330297, 0.00537061]), 'params': ({'bootstrap': False, 'min_samples_leaf': 9, 'min_samples_split': 8, 'criterion': 'entropy', 'max_features': 7, 'max_depth': 3}, {'bootstrap': True, 'min_samples_leaf': 4, 'min_samples_split': 5, 'criterion': 'gini', 'max_features': 7, 'max_depth': 3}, {'bootstrap': False, 'min_samples_leaf': 7, 'min_samples_split': 7, 'criterion': 'gini', 'max_features': 9, 'max_depth': None}, {'bootstrap': True, 'min_samples_leaf': 7, 'min_samples_split': 5, 'criterion': 'gini', 'max_features': 6, 'max_depth': None}, {'bootstrap': False, 'min_samples_leaf': 8, 'min_samples_split': 2, 'criterion': 'entropy', 'max_features': 5, 'max_depth': 3}, {'bootstrap': True, 'min_samples_leaf': 2, 'min_samples_split': 8, 'criterion': 'entropy', 'max_features': 9, 'max_depth': 3}, {'bootstrap': False, 'min_samples_leaf': 9, 'min_samples_split': 9, 'criterion': 'gini', 'max_features': 10, 'max_depth': 3}, {'bootstrap': True, 'min_samples_leaf': 6, 'min_samples_split': 4, 'criterion': 'entropy', 'max_features': 5, 'max_depth': 3}, {'bootstrap': False, 'min_samples_leaf': 2, 'min_samples_split': 6, 'criterion': 'gini', 'max_features': 8, 'max_depth': None}, {'bootstrap': True, 'min_samples_leaf': 10, 'min_samples_split': 7, 'criterion': 'entropy', 'max_features': 9, 'max_depth': 3}, {'bootstrap': True, 'min_samples_leaf': 5, 'min_samples_split': 2, 'criterion': 'entropy', 'max_features': 8, 'max_depth': 3}, {'bootstrap': True, 'min_samples_leaf': 5, 'min_samples_split': 3, 'criterion': 'entropy', 'max_features': 4, 'max_depth': 3}, {'bootstrap': True, 'min_samples_leaf': 1, 'min_samples_split': 10, 'criterion': 'entropy', 'max_features': 9, 'max_depth': None}, {'bootstrap': True, 'min_samples_leaf': 6, 'min_samples_split': 10, 'criterion': 'entropy', 'max_features': 4, 'max_depth': None}, {'bootstrap': False, 'min_samples_leaf': 10, 'min_samples_split': 10, 'criterion': 'gini', 'max_features': 6, 'max_depth': None}, {'bootstrap': False, 'min_samples_leaf': 10, 'min_samples_split': 7, 'criterion': 'entropy', 'max_features': 4, 'max_depth': 3}, {'bootstrap': True, 'min_samples_leaf': 8, 'min_samples_split': 5, 'criterion': 'gini', 'max_features': 5, 'max_depth': 3}, {'bootstrap': True, 'min_samples_leaf': 6, 'min_samples_split': 10, 'criterion': 'entropy', 'max_features': 5, 'max_depth': None}, {'bootstrap': False, 'min_samples_leaf': 9, 'min_samples_split': 4, 'criterion': 'gini', 'max_features': 9, 'max_depth': None}, {'bootstrap': False, 'min_samples_leaf': 5, 'min_samples_split': 3, 'criterion': 'entropy', 'max_features': 9, 'max_depth': None}), 'std_fit_time': array([ 0.00115622, 0.00114397, 0.00078962, 0.00013472, 0.00054667,
0.00027547, 0.00014341, 0.00021946, 0.00024196, 0.00012383,
0.00048064, 0.00018756, 0.00086825, 0.00091223, 0.00059366,
0.00101429, 0.00055549, 0.00071052, 0.0004669 , 0.00077322]), 'std_score_time': array([ 1.39942973e-04, 7.69491014e-05, 2.55571669e-05,
1.59445573e-04, 3.91385882e-05, 9.65215467e-05,
3.65033993e-05, 1.54305639e-04, 1.86684877e-04,
1.54541510e-05, 1.17982432e-04, 1.22242382e-04,
1.10929025e-04, 1.35323402e-05, 9.94359517e-05,
3.43876043e-05, 1.01843966e-04, 3.64746661e-05,
7.72287303e-05, 1.01495461e-04]), 'std_train_score': array([ 0.01269034, 0.00656256, 0.00179163, 0.00118113, 0.01217951,
0.01963239, 0.02217831, 0.00993328, 0. , 0.00842849,
0.01764607, 0.01773605, 0.00208833, 0.00169243, 0.00278141,
0.01236855, 0.0112465 , 0.00297513, 0.00210166, 0.0007934 ]), 'param_criterion': masked_array(data = ['entropy' 'gini' 'gini' 'gini' 'entropy' 'entropy' 'gini' 'entropy' 'gini'
'entropy' 'entropy' 'entropy' 'entropy' 'entropy' 'gini' 'entropy' 'gini'
'entropy' 'gini' 'entropy'],
mask = [False False False False False False False False False False False False
False False False False False False False False],
fill_value = ?)
, 'param_max_depth': masked_array(data = [3 3 None None 3 3 3 3 None 3 3 3 None None None 3 3 None None None],
mask = [False False False False False False False False False False False False
False False False False False False False False],
fill_value = ?)
, 'split1_train_score': array([ 0.85893155, 0.8572621 , 0.98914858, 0.97746244, 0.85475793,
0.89148581, 0.87896494, 0.88647746, 1. , 0.85308848,
0.8572621 , 0.82971619, 0.99582638, 0.98497496, 0.98497496,
0.87395659, 0.86143573, 0.99081803, 0.98998331, 0.99749583]), 'param_bootstrap': masked_array(data = [False True False True False True False True False True True True True True
False False True True False False],
mask = [False False False False False False False False False False False False
False False False False False False False False],
fill_value = ?)
, 'split2_train_score': array([ 0.88759367, 0.85428809, 0.99000833, 0.98001665, 0.85595337,
0.84346378, 0.88343047, 0.86261449, 1. , 0.8734388 ,
0.88093256, 0.86344713, 0.99916736, 0.98084929, 0.98251457,
0.86011657, 0.88592839, 0.98501249, 0.98834305, 0.99750208]), 'mean_score_time': array([ 0.01666665, 0.01513298, 0.01587939, 0.01571735, 0.01522239,
0.01519203, 0.0151697 , 0.01514077, 0.01599161, 0.0150334 ,
0.01485825, 0.01524369, 0.01589068, 0.01602467, 0.01599034,
0.01560299, 0.01552995, 0.01626134, 0.01552129, 0.01561936]), 'mean_train_score': array([ 0.87673574, 0.86033542, 0.99082078, 0.9791318 , 0.86396095,
0.86674052, 0.86556835, 0.87591768, 1. , 0.86225944,
0.87953769, 0.8544854 , 0.99637867, 0.98302928, 0.98191074,
0.87481658, 0.87004188, 0.98664365, 0.98775453, 0.99693794]), 'split0_test_score': array([ 0.82890365, 0.8255814 , 0.95348837, 0.93521595, 0.84219269,
0.81893688, 0.78571429, 0.85049834, 0.97840532, 0.83222591,
0.84385382, 0.82059801, 0.96179402, 0.94518272, 0.93189369,
0.86378738, 0.82392027, 0.93853821, 0.94352159, 0.9551495 ]), 'mean_test_score': array([ 0.83750696, 0.8425153 , 0.95381191, 0.94156928, 0.83528102,
0.83249861, 0.83027268, 0.84752365, 0.96994992, 0.85475793,
0.85308848, 0.83027268, 0.96048971, 0.94546466, 0.94379521,
0.85865331, 0.84418475, 0.94713411, 0.94379521, 0.96271564]), 'param_max_features': masked_array(data = [7 7 9 6 5 9 10 5 8 9 8 4 9 4 6 4 5 5 9 9],
mask = [False False False False False False False False False False False False
False False False False False False False False],
fill_value = ?)
, 'split1_test_score': array([ 0.83138564, 0.85475793, 0.95325543, 0.94490818, 0.8263773 ,
0.86143573, 0.86310518, 0.85642738, 0.96994992, 0.85809683,
0.85976628, 0.81803005, 0.96160267, 0.94824708, 0.94657763,
0.85308848, 0.84140234, 0.94824708, 0.93989983, 0.96661102])}