6101502 1 Jan van Rijn 5 Supervised Classification predictive_accuracy 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 4135675 class_weight null 6941 criterion "gini" 6941 max_depth 2 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 27614 6941 splitter "best" 6941 axis 0 6947 categorical_features [1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 algorithm "SAMME.R" 6971 learning_rate 0.023231416838126767 6971 n_estimators 250 6971 random_state 60865 6971 openml-pimp openml-python Sklearn_0.18.1. 5 arrhythmia https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff -1 13126738 description https://api.openml.org/data/download/13126738/description.xml -1 13126739 predictions https://api.openml.org/data/download/13126739/predictions.arff area_under_roc_curve 0.7262845586502961 [0.682816,0.853443,0.962471,0.975744,0.854389,0.8726,0.151448,0.144444,0.960371,0.770746,0.0,0.0,0.0,0.369978,0.667114,0.395666] average_cost 0 kappa 0.11477047902635941 kb_relative_information_score 116.65710071618435 mean_absolute_error 0.06966334238929998 mean_prior_absolute_error 0.08554099538612797 number_of_instances 452 [245,44,15,15,13,25,3,2,9,50,0,0,0,4,5,22] predictive_accuracy 0.5663716814159292 prior_entropy 2.522211812343187 recall 0.5663716814159292 [0.991837,0.068182,0.333333,0,0.076923,0,0,0,0,0.08,0.0,0.0,0.0,0,0,0] relative_absolute_error 0.8143854543057745 root_mean_prior_squared_error 0.20549825255273738 root_mean_squared_error 0.1952743951939712 root_relative_squared_error 0.9502484462433937 total_cost 0 area_under_roc_curve 0.8120790428781993 [0.815238,0.873171,0.977778,0.931818,0.806818,0.681818,0.0,0.377778,0.0,0.873171,0.0,0.0,0.0,0.0,0.0,0.682171] area_under_roc_curve 0.8084273273562775 [0.826667,0.863415,1,1,0.977778,0.965909,0.0,0.4,1,0.829268,0.0,0.0,0.0,0.0,0.088889,0.329545] area_under_roc_curve 0.7357387831806436 [0.64,0.79,1,0.976744,0.909091,1,0.0,0.0,0.886364,0.84,0.0,0.0,0.0,0.0,1,0.604651] area_under_roc_curve 0.7387444209537233 [0.644,0.96,1,1,1,0.72093,0.0,0.0,1,0.915,0.0,0.0,0.0,0.0,0.954545,0.186047] area_under_roc_curve 0.8020069097096892 [0.75,0.969512,1,0.988372,0.931818,0.976744,0.0,0.0,1,0.91,0.0,0.0,0.0,0.0,0.840909,0.104651] area_under_roc_curve 0.7346407474796586 [0.69246,0.823171,1,1,1,0.769841,0.386364,0.0,1,0.745,0.0,0.0,0.0,0.0,0.772727,0.476744] area_under_roc_curve 0.6404250961114263 [0.563492,0.762195,0.94186,1,0.977273,0.825397,0.090909,0.0,1,0.675,0.0,0.0,0.0,0.931818,0.0,0.255814] area_under_roc_curve 0.776646171626319 [0.761905,0.896341,0.988372,0.977273,0.704545,0.928571,0.727273,0.0,1,0.8,0.0,0.0,0.0,0.022727,0.0,0.44186] area_under_roc_curve 0.7115144544327754 [0.569444,0.987805,1,0.977273,0.94186,1,0.0,0.0,1,0.755,0.0,0.0,0.0,0.136364,0.0,0.813953] area_under_roc_curve 0.6442077297295675 [0.555556,0.689024,1,0.977273,0.976744,0.984127,0.0,0.0,1,0.625,0.0,0.0,0.0,0.772727,0.0,0.373016] 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 kappa 0.20277296360485259 kappa 0.10331384015594527 kappa 0.1419491525423728 kappa 0.07467532467532459 kappa 0.22413793103448273 kappa 0.108910891089109 kappa 0.01970954356846465 kappa 0.14122137404580154 kappa 0.04448938321536909 kappa 0.07024793388429763 kb_relative_information_score 13.331849629730005 kb_relative_information_score 12.280269284394587 kb_relative_information_score 11.086858860997097 kb_relative_information_score 12.645108938993532 kb_relative_information_score 12.527243697029467 kb_relative_information_score 12.190562853071832 kb_relative_information_score 9.561602954877646 kb_relative_information_score 10.974984694403613 kb_relative_information_score 11.966351927884203 kb_relative_information_score 10.092267874802415 mean_absolute_error 0.06713100470651918 mean_absolute_error 0.06828661254173456 mean_absolute_error 0.07036209276998655 mean_absolute_error 0.06847653777169957 mean_absolute_error 0.06867979933404253 mean_absolute_error 0.06830794324491125 mean_absolute_error 0.07352862671906166 mean_absolute_error 0.06894299538910917 mean_absolute_error 0.0709250703119474 mean_absolute_error 0.07207960927132902 mean_prior_absolute_error 0.08534234485321444 mean_prior_absolute_error 0.08546427907840952 mean_prior_absolute_error 0.08460351377018045 mean_prior_absolute_error 0.08460351377018045 mean_prior_absolute_error 0.08477564102564104 mean_prior_absolute_error 0.08615265906932575 mean_prior_absolute_error 0.08615859449192784 mean_prior_absolute_error 0.08615859449192784 mean_prior_absolute_error 0.08609924026590694 mean_prior_absolute_error 0.08605769230769232 number_of_instances 46 [25,5,1,2,2,2,0,1,0,5,0,0,0,0,0,3] number_of_instances 46 [25,5,1,2,1,2,0,1,1,5,0,0,0,0,1,2] number_of_instances 45 [25,5,1,2,1,2,0,0,1,5,0,0,0,0,1,2] number_of_instances 45 [25,5,1,2,1,2,0,0,1,5,0,0,0,0,1,2] number_of_instances 45 [25,4,2,2,1,2,0,0,1,5,0,0,0,0,1,2] number_of_instances 45 [24,4,2,1,1,3,1,0,1,5,0,0,0,0,1,2] number_of_instances 45 [24,4,2,1,1,3,1,0,1,5,0,0,0,1,0,2] number_of_instances 45 [24,4,2,1,1,3,1,0,1,5,0,0,0,1,0,2] number_of_instances 45 [24,4,2,1,2,3,0,0,1,5,0,0,0,1,0,2] number_of_instances 45 [24,4,1,1,2,3,0,0,1,5,0,0,0,1,0,3] predictive_accuracy 0.5652173913043478 predictive_accuracy 0.5652173913043478 predictive_accuracy 0.6 predictive_accuracy 0.5777777777777778 predictive_accuracy 0.6222222222222222 predictive_accuracy 0.5555555555555556 predictive_accuracy 0.5333333333333333 predictive_accuracy 0.5555555555555556 predictive_accuracy 0.5333333333333333 predictive_accuracy 0.5555555555555556 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 recall 0.5652173913043478 [0.92,0,1,0,0,0,0.0,0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0] recall 0.5652173913043478 [1,0.2,0,0,0,0,0.0,0,0,0,0.0,0.0,0.0,0.0,0,0] recall 0.6 [1,0.2,1,0,0,0,0.0,0.0,0,0,0.0,0.0,0.0,0.0,0,0] recall 0.5777777777777777 [1,0,1,0,0,0,0.0,0.0,0,0,0.0,0.0,0.0,0.0,0,0] recall 0.6222222222222222 [1,0,0.5,0,0,0,0.0,0.0,0,0.4,0.0,0.0,0.0,0.0,0,0] recall 0.5555555555555556 [1,0,0,0,1,0,0,0.0,0,0,0.0,0.0,0.0,0.0,0,0] recall 0.5333333333333333 [1,0,0,0,0,0,0,0.0,0,0,0.0,0.0,0.0,0,0.0,0] recall 0.5555555555555556 [1,0.25,0,0,0,0,0,0.0,0,0,0.0,0.0,0.0,0,0.0,0] recall 0.5333333333333333 [1,0,0,0,0,0,0.0,0.0,0,0,0.0,0.0,0.0,0,0.0,0] recall 0.5555555555555556 [1,0,1,0,0,0,0.0,0.0,0,0,0.0,0.0,0.0,0,0.0,0] relative_absolute_error 0.7866083926095766 relative_absolute_error 0.7990076471491061 relative_absolute_error 0.8316686817656328 relative_absolute_error 0.8093817232900197 relative_absolute_error 0.8101360072673445 relative_absolute_error 0.792870980220644 relative_absolute_error 0.8534102390209084 relative_absolute_error 0.8001870944583296 relative_absolute_error 0.8237595371678544 relative_absolute_error 0.8375731133204711 root_mean_prior_squared_error 0.20501434405747065 root_mean_prior_squared_error 0.2053115084317244 root_mean_prior_squared_error 0.20320445414970847 root_mean_prior_squared_error 0.20320445414970847 root_mean_prior_squared_error 0.20362754588154708 root_mean_prior_squared_error 0.20698114765704212 root_mean_prior_squared_error 0.20699548523585812 root_mean_prior_squared_error 0.20699548523585812 root_mean_prior_squared_error 0.20685206472744588 root_mean_prior_squared_error 0.20675161117580884 root_mean_squared_error 0.18899640746535135 root_mean_squared_error 0.19175495295456485 root_mean_squared_error 0.19204253141207137 root_mean_squared_error 0.19136197432001562 root_mean_squared_error 0.18516674187474996 root_mean_squared_error 0.19919473608637975 root_mean_squared_error 0.2033218299119051 root_mean_squared_error 0.19669691033839387 root_mean_squared_error 0.19952107458447263 root_mean_squared_error 0.20399035536059815 root_relative_squared_error 0.9218691908326713 root_relative_squared_error 0.9339707959835688 root_relative_squared_error 0.9450704819225385 root_relative_squared_error 0.9417213570477739 root_relative_squared_error 0.909340340341105 root_relative_squared_error 0.9623810590539189 root_relative_squared_error 0.9822524857497876 root_relative_squared_error 0.950247345319007 root_relative_squared_error 0.9645592604906662 root_relative_squared_error 0.9866445741365338 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 2702.084554999601 usercpu_time_millis 2586.277230000178 usercpu_time_millis 2562.8502940003273 usercpu_time_millis 2569.97692799996 usercpu_time_millis 2554.2791239995495 usercpu_time_millis 2570.5583440003466 usercpu_time_millis 2662.814803999936 usercpu_time_millis 2641.7128329999287 usercpu_time_millis 2691.777892999653 usercpu_time_millis 2572.8439340005025 usercpu_time_millis_testing 58.84869700003037 usercpu_time_millis_testing 58.632666999983485 usercpu_time_millis_testing 58.484518000113894 usercpu_time_millis_testing 59.00363199998537 usercpu_time_millis_testing 58.08530399963274 usercpu_time_millis_testing 58.12782100019831 usercpu_time_millis_testing 59.913622999829386 usercpu_time_millis_testing 61.302881999836245 usercpu_time_millis_testing 58.98873399974036 usercpu_time_millis_testing 58.17723300015132 usercpu_time_millis_training 2643.2358579995707 usercpu_time_millis_training 2527.6445630001945 usercpu_time_millis_training 2504.3657760002134 usercpu_time_millis_training 2510.9732959999747 usercpu_time_millis_training 2496.1938199999167 usercpu_time_millis_training 2512.4305230001482 usercpu_time_millis_training 2602.9011810001066 usercpu_time_millis_training 2580.4099510000924 usercpu_time_millis_training 2632.7891589999126 usercpu_time_millis_training 2514.666701000351