6102109 1 Jan van Rijn 5 Supervised Classification predictive_accuracy 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4136282 bootstrap true 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.741514690495723 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 1 6902 min_samples_split 2 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 4363 6902 verbose 0 6902 warm_start false 6902 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 openml-pimp openml-python Sklearn_0.18.1. 5 arrhythmia https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff -1 13127948 description https://api.openml.org/data/download/13127948/description.xml -1 13127949 predictions https://api.openml.org/data/download/13127949/predictions.arff area_under_roc_curve 0.8932433042737921 [0.906251,0.911041,0.994584,0.991457,0.932539,0.976206,0.345212,0.408889,1,0.937264,0.0,0.0,0.0,0.649275,0.612752,0.542389] average_cost 0 kappa 0.6251324660963585 kb_relative_information_score 234.21149651343438 mean_absolute_error 0.049159292035398254 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 0.7610619469026548 prior_entropy 2.522211812343187 recall 0.7610619469026548 [0.914286,0.568182,0.866667,0.6,0.461538,0.84,0,0,0.888889,0.76,0.0,0.0,0.0,0,0,0] relative_absolute_error 0.5746869300911868 root_mean_prior_squared_error 0.20549825255273738 root_mean_squared_error 0.15247225193660477 root_relative_squared_error 0.7419637395577149 total_cost 0 area_under_roc_curve 0.8981587434681223 [0.92,0.939024,1,1,1,1,0.0,0.422222,0.0,0.95122,0.0,0.0,0.0,0.0,0.0,0.48062] area_under_roc_curve 0.8554881300506963 [0.868571,0.870732,1,0.977273,0.977778,1,0.0,0.411111,1,0.880488,0.0,0.0,0.0,0.0,0.3,0.619318] area_under_roc_curve 0.9011099365750529 [0.884,0.78,1,0.988372,1,0.976744,0.0,0.0,1,1,0.0,0.0,0.0,0.0,0.852273,0.883721] area_under_roc_curve 0.8740104533709184 [0.891,0.9575,1,1,1,0.813953,0.0,0.0,1,0.925,0.0,0.0,0.0,0.0,0.852273,0.081395] area_under_roc_curve 0.9200416960300681 [0.949,1,1,1,0.954545,0.988372,0.0,0.0,1,0.9275,0.0,0.0,0.0,0.0,0.852273,0.127907] area_under_roc_curve 0.8757806599610345 [0.887897,0.881098,1,0.977273,0.988636,1,0.386364,0.0,1,0.995,0.0,0.0,0.0,0.0,0.295455,0.476744] area_under_roc_curve 0.8750360020538693 [0.866071,0.893293,0.988372,1,1,0.984127,0.375,0.0,1,0.7775,0.0,0.0,0.0,0.977273,0.0,0.924419] area_under_roc_curve 0.8647797697145398 [0.888889,0.945122,1,1,0.284091,1,0.386364,0.0,1,1,0.0,0.0,0.0,0.375,0.0,0.377907] area_under_roc_curve 0.9396055577791256 [0.918651,0.963415,1,1,0.988372,1,0.0,0.0,1,0.955,0.0,0.0,0.0,0.943182,0.0,0.843023] area_under_roc_curve 0.9395314937997865 [0.97619,0.911585,1,0.977273,1,1,0.0,0.0,1,0.975,0.0,0.0,0.0,0.363636,0.0,0.662698] 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 0.5908080059303187 kappa 0.5783040488922842 kappa 0.610236220472441 kappa 0.6559633027522935 kappa 0.7108433734939759 kappa 0.5852534562211981 kappa 0.44315545243619503 kappa 0.6621621621621622 kappa 0.6877409406322282 kappa 0.726027397260274 kb_relative_information_score 21.189659444359265 kb_relative_information_score 21.853305599905667 kb_relative_information_score 22.61380142185832 kb_relative_information_score 21.802358044098586 kb_relative_information_score 25.359960889460456 kb_relative_information_score 23.765382845889963 kb_relative_information_score 21.84199248239278 kb_relative_information_score 22.952050285515497 kb_relative_information_score 27.311214918448258 kb_relative_information_score 25.521770581505496 mean_absolute_error 0.054130434782608684 mean_absolute_error 0.051141304347826086 mean_absolute_error 0.05141666666666667 mean_absolute_error 0.050499999999999996 mean_absolute_error 0.04202777777777777 mean_absolute_error 0.04894444444444445 mean_absolute_error 0.05552777777777777 mean_absolute_error 0.04938888888888889 mean_absolute_error 0.04491666666666665 mean_absolute_error 0.043444444444444445 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 0.7391304347826088 predictive_accuracy 0.7391304347826088 predictive_accuracy 0.7555555555555555 predictive_accuracy 0.7777777777777777 predictive_accuracy 0.8222222222222223 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.6444444444444444 predictive_accuracy 0.7777777777777777 predictive_accuracy 0.8 predictive_accuracy 0.8222222222222223 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 0.7391304347826086 [0.92,0.4,1,1,0.5,0.5,0.0,0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0] recall 0.7391304347826086 [0.92,0.6,1,0.5,0,1,0.0,0,1,0.6,0.0,0.0,0.0,0.0,0,0] recall 0.7555555555555555 [0.88,0.4,1,0.5,1,1,0.0,0.0,0,1,0.0,0.0,0.0,0.0,0,0] recall 0.7777777777777778 [0.92,0.4,1,1,1,0.5,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0] recall 0.8222222222222222 [0.96,0.75,1,0.5,0,1,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0] recall 0.7333333333333333 [0.875,0.25,1,1,1,0.666667,0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0] recall 0.6444444444444445 [0.875,0.75,0.5,0,0,0.666667,0,0.0,1,0.2,0.0,0.0,0.0,0,0.0,0] recall 0.7777777777777778 [0.875,0.75,0.5,1,0,1,0,0.0,1,1,0.0,0.0,0.0,0,0.0,0] recall 0.8 [0.916667,0.75,1,0,0.5,1,0.0,0.0,1,0.8,0.0,0.0,0.0,0,0.0,0] recall 0.8222222222222222 [1,0.75,1,0,0.5,1,0.0,0.0,1,0.8,0.0,0.0,0.0,0,0.0,0] relative_absolute_error 0.6342740508912774 relative_absolute_error 0.598393912629934 relative_absolute_error 0.6077367756419251 relative_absolute_error 0.5969019222674335 relative_absolute_error 0.4957529930686828 relative_absolute_error 0.5681129865656217 relative_absolute_error 0.6444833287406998 relative_absolute_error 0.5732322953981813 relative_absolute_error 0.5216848200744517 relative_absolute_error 0.5048292985723152 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 0.1592193933457583 root_mean_squared_error 0.16043334658247385 root_mean_squared_error 0.15136324961275552 root_mean_squared_error 0.157685516843565 root_mean_squared_error 0.13800261672237313 root_mean_squared_error 0.1565824241591487 root_mean_squared_error 0.16791366829415644 root_mean_squared_error 0.1536030236970903 root_mean_squared_error 0.14078352176302453 root_mean_squared_error 0.1354211537718125 root_relative_squared_error 0.7766256262592296 root_relative_squared_error 0.7814142899633186 root_relative_squared_error 0.7448815541279447 root_relative_squared_error 0.7759943919703258 root_relative_squared_error 0.6777207677130831 root_relative_squared_error 0.7565057297807543 root_relative_squared_error 0.8111948340459192 root_relative_squared_error 0.7420597774007944 root_relative_squared_error 0.6806000314694701 root_relative_squared_error 0.654994430281168 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 3332.961155000021 usercpu_time_millis 3151.695301000018 usercpu_time_millis 3201.2465669999983 usercpu_time_millis 3147.1989140000005 usercpu_time_millis 3242.477855999823 usercpu_time_millis 3201.7049759999736 usercpu_time_millis 3180.141327000001 usercpu_time_millis 3023.348419000058 usercpu_time_millis 3179.8780369999804 usercpu_time_millis 3266.798896999944 usercpu_time_millis_testing 25.18812599987541 usercpu_time_millis_testing 25.031333000015366 usercpu_time_millis_testing 24.612365000166392 usercpu_time_millis_testing 24.633168000036676 usercpu_time_millis_testing 24.815494999984367 usercpu_time_millis_testing 24.84758100013096 usercpu_time_millis_testing 24.841829000024518 usercpu_time_millis_testing 24.665720000029978 usercpu_time_millis_testing 24.710815999924307 usercpu_time_millis_testing 24.763619999930597 usercpu_time_millis_training 3307.7730290001455 usercpu_time_millis_training 3126.6639680000026 usercpu_time_millis_training 3176.634201999832 usercpu_time_millis_training 3122.565745999964 usercpu_time_millis_training 3217.6623609998387 usercpu_time_millis_training 3176.8573949998427 usercpu_time_millis_training 3155.2994979999767 usercpu_time_millis_training 2998.682699000028 usercpu_time_millis_training 3155.167221000056 usercpu_time_millis_training 3242.0352770000136