7807202 3886 Benjamin Strang 12 Supervised Classification 7122 sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1) 5838497 memory null 7122 axis 0 7123 copy true 7123 missing_values "NaN" 7123 strategy "mean" 7123 verbose 0 7123 class_weight null 7124 criterion "gini" 7124 max_depth null 7124 max_features null 7124 max_leaf_nodes null 7124 min_impurity_decrease 0.0 7124 min_impurity_split null 7124 min_samples_leaf 1 7124 min_samples_split 2 7124 min_weight_fraction_leaf 0.0 7124 presort false 7124 random_state 32626 7124 splitter "best" 7124 openml-python Sklearn_0.19.0. 12 mfeat-factors https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff -1 16538389 description https://api.openml.org/data/download/16538389/description.xml -1 16538390 predictions https://api.openml.org/data/download/16538390/predictions.arff area_under_roc_curve 0.9358333333333334 [0.977222,0.922778,0.950833,0.885833,0.954167,0.903889,0.946389,0.946389,0.9375,0.933333] average_cost 0 f_measure 0.8845955157011637 [0.955224,0.848039,0.899263,0.793017,0.926582,0.833333,0.916031,0.898263,0.896203,0.88] kappa 0.8716666666666666 kb_relative_information_score 1758.4300196804272 mean_absolute_error 0.023100000000000058 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8849587249527517 [0.950495,0.831731,0.884058,0.791045,0.938462,0.841837,0.932642,0.891626,0.907692,0.88] predictive_accuracy 0.8845000000000001 prior_entropy 3.321928094887362 recall 0.8845 [0.96,0.865,0.915,0.795,0.915,0.825,0.9,0.905,0.885,0.88] relative_absolute_error 0.1283333333333297 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15198684153570682 root_relative_squared_error 0.5066228051190149 total_cost 0 area_under_roc_curve 0.9194444444444444 [0.972222,0.919444,0.938889,0.791667,0.997222,0.911111,0.944444,0.888889,0.863889,0.966667] area_under_roc_curve 0.925 [1,0.905556,0.936111,0.786111,0.919444,0.872222,0.969444,0.969444,0.994444,0.897222] area_under_roc_curve 0.9611111111111111 [1,0.988889,0.972222,0.888889,0.975,0.897222,1,0.969444,0.95,0.969444] area_under_roc_curve 0.9416666666666668 [0.969444,0.944444,0.963889,0.936111,0.925,0.866667,0.975,0.947222,0.972222,0.916667] area_under_roc_curve 0.9194444444444444 [0.994444,0.905556,0.894444,0.886111,0.894444,0.947222,0.916667,0.866667,0.944444,0.944444] area_under_roc_curve 0.9416666666666665 [1,0.941667,0.897222,0.919444,0.925,0.927778,0.947222,0.994444,0.969444,0.894444] area_under_roc_curve 0.927777777777778 [0.947222,0.911111,0.969444,0.963889,0.925,0.908333,0.894444,0.941667,0.922222,0.894444] area_under_roc_curve 0.9555555555555554 [0.95,0.947222,0.941667,0.908333,1,0.922222,0.997222,0.975,0.919444,0.994444] area_under_roc_curve 0.9277777777777777 [0.969444,0.841667,0.997222,0.908333,0.994444,0.819444,0.947222,0.941667,0.919444,0.938889] area_under_roc_curve 0.9388888888888889 [0.969444,0.922222,0.997222,0.869444,0.986111,0.966667,0.872222,0.969444,0.919444,0.916667] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.852377825426606 [0.95,0.871795,0.857143,0.685714,0.97561,0.809524,0.9,0.8,0.769231,0.904762] f_measure 0.863461778266089 [1,0.772727,0.837209,0.648649,0.871795,0.833333,0.926829,0.926829,0.952381,0.864865] f_measure 0.9299341705952746 [1,0.909091,0.95,0.8,0.974359,0.864865,1,0.926829,0.947368,0.926829] f_measure 0.8953588001416165 [0.926829,0.9,0.883721,0.837209,0.918919,0.789474,0.974359,0.923077,0.95,0.85] f_measure 0.8552357163589513 [0.952381,0.772727,0.842105,0.780488,0.842105,0.923077,0.85,0.789474,0.9,0.9] f_measure 0.8960628538627087 [1,0.878049,0.864865,0.871795,0.918919,0.782609,0.923077,0.952381,0.926829,0.842105] f_measure 0.8709763673372355 [0.923077,0.809524,0.926829,0.883721,0.918919,0.790698,0.842105,0.878049,0.894737,0.842105] f_measure 0.9208073195773585 [0.947368,0.923077,0.878049,0.790698,1,0.894737,0.97561,0.974359,0.871795,0.952381] f_measure 0.8675194983306157 [0.926829,0.756757,0.97561,0.790698,0.952381,0.742857,0.923077,0.878049,0.871795,0.857143] f_measure 0.8883594944377999 [0.926829,0.894737,0.97561,0.810811,0.888889,0.904762,0.833333,0.926829,0.871795,0.85] kappa 0.8388888888888889 kappa 0.85 kappa 0.9222222222222223 kappa 0.8833333333333333 kappa 0.8388888888888889 kappa 0.8833333333333333 kappa 0.8555555555555555 kappa 0.9111111111111112 kappa 0.8555555555555555 kappa 0.8777777777777778 kb_relative_information_score 169.67303277374046 kb_relative_information_score 171.7645477548618 kb_relative_information_score 185.35939513215035 kb_relative_information_score 178.03909269822577 kb_relative_information_score 169.67303277374046 kb_relative_information_score 178.03909269822577 kb_relative_information_score 172.81030524542246 kb_relative_information_score 183.26788015102903 kb_relative_information_score 172.81030524542246 kb_relative_information_score 176.99333520766507 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.014000000000000002 mean_absolute_error 0.021000000000000005 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.021000000000000005 mean_absolute_error 0.02600000000000001 mean_absolute_error 0.016000000000000004 mean_absolute_error 0.02600000000000001 mean_absolute_error 0.022000000000000006 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.8541136933242196 [0.95,0.894737,0.818182,0.8,0.952381,0.772727,0.9,0.8,0.789474,0.863636] precision 0.8688852413234901 [1,0.708333,0.782609,0.705882,0.894737,0.9375,0.904762,0.904762,0.909091,0.941176] precision 0.9334033613445379 [1,0.833333,0.95,0.8,1,0.941176,1,0.904762,1,0.904762] precision 0.8994159311321783 [0.904762,0.9,0.826087,0.782609,1,0.833333,1,0.947368,0.95,0.85] precision 0.8587808536492746 [0.909091,0.708333,0.888889,0.761905,0.888889,0.947368,0.85,0.833333,0.9,0.9] precision 0.9035473985938383 [1,0.857143,0.941176,0.894737,1,0.692308,0.947368,0.909091,0.904762,0.888889] precision 0.8769440069211235 [0.947368,0.772727,0.904762,0.826087,1,0.73913,0.888889,0.857143,0.944444,0.888889] precision 0.9244294860999667 [1,0.947368,0.857143,0.73913,1,0.944444,0.952381,1,0.894737,0.909091] precision 0.8712990217930318 [0.904762,0.823529,0.952381,0.73913,0.909091,0.866667,0.947368,0.857143,0.894737,0.818182] precision 0.8934575353267304 [0.904762,0.944444,0.952381,0.882353,0.8,0.863636,0.9375,0.904762,0.894737,0.85] predictive_accuracy 0.855 predictive_accuracy 0.865 predictive_accuracy 0.93 predictive_accuracy 0.895 predictive_accuracy 0.855 predictive_accuracy 0.895 predictive_accuracy 0.87 predictive_accuracy 0.92 predictive_accuracy 0.87 predictive_accuracy 0.89 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.855 [0.95,0.85,0.9,0.6,1,0.85,0.9,0.8,0.75,0.95] recall 0.865 [1,0.85,0.9,0.6,0.85,0.75,0.95,0.95,1,0.8] recall 0.93 [1,1,0.95,0.8,0.95,0.8,1,0.95,0.9,0.95] recall 0.895 [0.95,0.9,0.95,0.9,0.85,0.75,0.95,0.9,0.95,0.85] recall 0.855 [1,0.85,0.8,0.8,0.8,0.9,0.85,0.75,0.9,0.9] recall 0.895 [1,0.9,0.8,0.85,0.85,0.9,0.9,1,0.95,0.8] recall 0.87 [0.9,0.85,0.95,0.95,0.85,0.85,0.8,0.9,0.85,0.8] recall 0.92 [0.9,0.9,0.9,0.85,1,0.85,1,0.95,0.85,1] recall 0.87 [0.95,0.7,1,0.85,1,0.65,0.9,0.9,0.85,0.9] recall 0.89 [0.95,0.85,1,0.75,1,0.95,0.75,0.95,0.85,0.85] relative_absolute_error 0.16111111111111134 relative_absolute_error 0.15000000000000024 relative_absolute_error 0.07777777777777788 relative_absolute_error 0.11666666666666682 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.11666666666666682 relative_absolute_error 0.14444444444444465 relative_absolute_error 0.088888888888889 relative_absolute_error 0.14444444444444465 relative_absolute_error 0.1222222222222224 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.16431676725154987 root_mean_squared_error 0.11832159566199232 root_mean_squared_error 0.1449137674618944 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.1449137674618944 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.1264911064067352 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.14832396974191328 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.394405318873308 root_relative_squared_error 0.48304589153964833 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.48304589153964833 root_relative_squared_error 0.5374838498865704 root_relative_squared_error 0.42163702135578424 root_relative_squared_error 0.5374838498865704 root_relative_squared_error 0.49441323247304453 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 375 usercpu_time_millis 390.625 usercpu_time_millis 375 usercpu_time_millis 390.625 usercpu_time_millis 359.375 usercpu_time_millis 375 usercpu_time_millis 390.625 usercpu_time_millis 406.25 usercpu_time_millis 375 usercpu_time_millis 390.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 375 usercpu_time_millis_training 375 usercpu_time_millis_training 359.375 usercpu_time_millis_training 390.625 usercpu_time_millis_training 359.375 usercpu_time_millis_training 375 usercpu_time_millis_training 390.625 usercpu_time_millis_training 406.25 usercpu_time_millis_training 375 usercpu_time_millis_training 390.625