6101801 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) 4135974 class_weight null 6941 criterion "gini" 6941 max_depth 5 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 40406 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 "mean" 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" 6971 learning_rate 0.17595575728163948 6971 n_estimators 433 6971 random_state 30383 6971 openml-pimp openml-python Sklearn_0.18.1. 5 arrhythmia https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff -1 13127334 description https://api.openml.org/data/download/13127334/description.xml -1 13127335 predictions https://api.openml.org/data/download/13127335/predictions.arff area_under_roc_curve 0.8142503022205534 [0.808558,0.912043,0.980168,0.975896,0.927983,0.925059,0.208612,0.08,0.999248,0.823682,0.0,0.0,0.0,0.605469,0.961074,0.32241] average_cost 0 kappa 0.5050197703987888 kb_relative_information_score -39.696446009531314 mean_absolute_error 0.11524928637218795 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 0.6703539823008849 prior_entropy 2.522211812343187 recall 0.6703539823008849 [0.795918,0.568182,0.8,0.6,0.384615,0.76,0,0,0.888889,0.56,0.0,0.0,0.0,0,0.2,0.045455] relative_absolute_error 1.3472988694129426 root_mean_prior_squared_error 0.20549825255273738 root_mean_squared_error 0.2399108833583429 root_relative_squared_error 1.1674594814219852 total_cost 0 area_under_roc_curve 0.7994578807027943 [0.788571,0.926829,1,0.988636,0.965909,1,0.0,0.177778,0.0,0.960976,0.0,0.0,0.0,0.0,0.0,0.178295] area_under_roc_curve 0.7953178581757585 [0.742857,0.921951,1,0.988636,1,0.988636,0.0,0.288889,1,0.863415,0.0,0.0,0.0,0.0,0.911111,0.465909] area_under_roc_curve 0.8568839558374441 [0.818,0.87,1,1,0.954545,1,0.0,0.0,1,0.975,0.0,0.0,0.0,0.0,1,0.465116] area_under_roc_curve 0.8407751937984496 [0.834,0.96,1,1,1,0.55814,0.0,0.0,1,0.93,0.0,0.0,0.0,0.0,1,0.209302] area_under_roc_curve 0.8207361476363179 [0.798,0.957317,1,1,0.954545,0.976744,0.0,0.0,1,0.835,0.0,0.0,0.0,0.0,0.954545,0.05814] area_under_roc_curve 0.7937322636188207 [0.801587,0.871951,1,1,1,0.793651,0.522727,0.0,1,0.72,0.0,0.0,0.0,0.0,1,0.244186] area_under_roc_curve 0.7773760768967801 [0.757937,0.890244,0.860465,1,0.954545,0.992063,0.227273,0.0,1,0.735,0.0,0.0,0.0,0.909091,0.0,0.383721] area_under_roc_curve 0.8095013200912239 [0.809524,0.865854,1,1,0.909091,0.984127,0.431818,0.0,1,0.84,0.0,0.0,0.0,0.181818,0.0,0.430233] area_under_roc_curve 0.8444462533118233 [0.797619,0.969512,1,0.909091,0.953488,1,0.0,0.0,1,0.86,0.0,0.0,0.0,0.886364,0.0,0.488372] area_under_roc_curve 0.856942948650266 [0.922619,0.914634,1,0.954545,1,1,0.0,0.0,1,0.66,0.0,0.0,0.0,0.863636,0.0,0.214286] 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 0.724915824915825 [0.818182,0.8,0.666667,1,1,0,0.0,0.0,1,0.5,0.0,0.0,0.0,0.0,1,0] kappa 0.5201668984700973 kappa 0.532316630355846 kappa 0.4779582366589327 kappa 0.5984900480439259 kappa 0.64 kappa 0.3717854518736223 kappa 0.35943060498220647 kappa 0.5195729537366548 kappa 0.562780269058296 kappa 0.4730679156908665 kb_relative_information_score -4.555391786511441 kb_relative_information_score -3.5852634123801823 kb_relative_information_score -5.00450015063717 kb_relative_information_score -5.007694239520906 kb_relative_information_score -4.51169427364613 kb_relative_information_score -3.161638462381217 kb_relative_information_score -3.073815212521235 kb_relative_information_score -3.068628348802633 kb_relative_information_score -3.759385573142245 kb_relative_information_score -3.968434549988187 mean_absolute_error 0.11525541923079402 mean_absolute_error 0.11524788531492487 mean_absolute_error 0.11524598967266753 mean_absolute_error 0.11524831496992557 mean_absolute_error 0.11523344818009434 mean_absolute_error 0.11525617762813184 mean_absolute_error 0.1152628671691796 mean_absolute_error 0.1152477766042115 mean_absolute_error 0.11524640202106085 mean_absolute_error 0.1152484777797486 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] precision 0.7778309409888358 [0.947368,0.8,0.5,1,1,0,0.0,0.0,1,0.363636,0.0,0.0,0.0,0,1,0] predictive_accuracy 0.673913043478261 predictive_accuracy 0.6956521739130435 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.7111111111111111 predictive_accuracy 0.7777777777777777 predictive_accuracy 0.5777777777777778 predictive_accuracy 0.5555555555555556 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.7111111111111111 predictive_accuracy 0.6666666666666667 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 0.6739130434782609 [0.76,0.6,1,1,0.5,0.5,0.0,0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0] recall 0.6956521739130435 [0.8,0.6,1,0.5,1,1,0.0,0,1,0.6,0.0,0.0,0.0,0.0,0,0] recall 0.6666666666666666 [0.84,0.2,1,0.5,0,1,0.0,0.0,0,0.8,0.0,0.0,0.0,0.0,0,0] recall 0.7111111111111111 [0.72,0.8,1,1,1,0,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,1,0] recall 0.7777777777777778 [0.96,0.75,1,0.5,0,0.5,0.0,0.0,1,0.6,0.0,0.0,0.0,0.0,0,0] recall 0.5777777777777777 [0.708333,0.5,1,0,1,0.333333,0,0.0,1,0.4,0.0,0.0,0.0,0.0,0,0] recall 0.5555555555555556 [0.708333,0.75,0,1,0,1,0,0.0,1,0,0.0,0.0,0.0,0,0.0,0] recall 0.6666666666666666 [0.75,0.5,0.5,1,0,1,0,0.0,1,0.6,0.0,0.0,0.0,0,0.0,0.5] recall 0.7111111111111111 [0.833333,0.75,1,0,0,1,0.0,0.0,1,0.6,0.0,0.0,0.0,0,0.0,0] recall 0.6666666666666666 [0.875,0.25,1,0,0.5,1,0.0,0.0,1,0.4,0.0,0.0,0.0,0,0.0,0] relative_absolute_error 1.3505068255275727 relative_absolute_error 1.3484918676865016 relative_absolute_error 1.3621891637470902 relative_absolute_error 1.3622166483887372 relative_absolute_error 1.3592754567935512 relative_absolute_error 1.3378133521727624 relative_absolute_error 1.3377988330575488 relative_absolute_error 1.3376236843674254 relative_absolute_error 1.3385298367922465 relative_absolute_error 1.3392001887255702 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 0.23992364478871578 root_mean_squared_error 0.23990793382201517 root_mean_squared_error 0.23990403042135314 root_mean_squared_error 0.23990882341930672 root_mean_squared_error 0.23987793485218514 root_mean_squared_error 0.23992523740234029 root_mean_squared_error 0.23993916227151937 root_mean_squared_error 0.2399078104737491 root_mean_squared_error 0.23990486477262032 root_mean_squared_error 0.2399091683854549 root_relative_squared_error 1.1702773573807068 root_relative_squared_error 1.1685069953192404 root_relative_squared_error 1.1806041920941688 root_relative_squared_error 1.1806277791654938 root_relative_squared_error 1.178023011639719 root_relative_squared_error 1.1591646877902375 root_relative_squared_error 1.1591516694102002 root_relative_squared_error 1.1590002081465183 root_relative_squared_error 1.1597895582464972 root_relative_squared_error 1.1603738757878452 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 8866.368218999924 usercpu_time_millis 8813.643918999787 usercpu_time_millis 8922.2150720002 usercpu_time_millis 8810.1540749999 usercpu_time_millis 8609.357717999956 usercpu_time_millis 8951.850583000123 usercpu_time_millis 8910.450458000014 usercpu_time_millis 9337.236825000218 usercpu_time_millis 8923.411528000088 usercpu_time_millis 9235.283202000119 usercpu_time_millis_testing 59.8305819999041 usercpu_time_millis_testing 59.03769299993655 usercpu_time_millis_testing 58.91026300014346 usercpu_time_millis_testing 59.028050000051735 usercpu_time_millis_testing 59.06432399979167 usercpu_time_millis_testing 83.14667600006942 usercpu_time_millis_testing 64.11065700012841 usercpu_time_millis_testing 83.98003399997833 usercpu_time_millis_testing 58.88936800010924 usercpu_time_millis_testing 85.04880300006334 usercpu_time_millis_training 8806.53763700002 usercpu_time_millis_training 8754.60622599985 usercpu_time_millis_training 8863.304809000056 usercpu_time_millis_training 8751.126024999849 usercpu_time_millis_training 8550.293394000164 usercpu_time_millis_training 8868.703907000054 usercpu_time_millis_training 8846.339800999885 usercpu_time_millis_training 9253.25679100024 usercpu_time_millis_training 8864.522159999979 usercpu_time_millis_training 9150.234399000055