6124658 1 Jan van Rijn 14967 Supervised Classification 7096 sklearn.model_selection._search.RandomizedSearchCV(estimator=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) 4158631 bootstrap true 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features "auto" 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 5 6902 min_samples_split 11 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 10 6902 n_jobs 1 6902 oob_score false 6902 random_state 1 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [0, 1] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0, 1] 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 cv null 7096 error_score "raise" 7096 fit_params {} 7096 iid true 7096 n_iter 50 7096 n_jobs 1 7096 param_distributions {"classifier__min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], "classifier__bootstrap": [true, false], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]} 7096 pre_dispatch "2*n_jobs" 7096 random_state 1 7096 refit true 7096 return_train_score true 7096 scoring null 7096 verbose 0 7096 openml-python Sklearn_0.18.1. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 13175743 description https://api.openml.org/data/download/13175743/description.xml -1 13175744 predictions https://api.openml.org/data/download/13175744/predictions.arff -1 13175745 trace https://api.openml.org/data/download/13175745/trace.arff area_under_roc_curve 0.998434066435541 [0.999942,0.994692,0.998854,0.999961,0.998622,0.995745] average_cost 0 f_measure 0.9864139270923586 [0.991304,0.974963,0.985999,0.990234,0.993969,0.972875] kappa 0.9834012787114463 kb_relative_information_score 2704.204199562795 mean_absolute_error 0.013154631420578955 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.986444318391034 [0.993031,0.97929,0.988183,0.988304,0.992771,0.964158] predictive_accuracy 0.9864091559370529 prior_entropy 2.5206634795042744 recall 0.9864091559370529 [0.989583,0.970674,0.983824,0.992172,0.995169,0.981752] relative_absolute_error 0.048206657829069896 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.06681248742980261 root_relative_squared_error 0.1808819178151569 total_cost 0 area_under_roc_curve 0.9959565325472722 [1,0.998386,0.999861,0.999914,1,0.962018] area_under_roc_curve 0.9981132075471698 [1,1,0.992231,1,1,1] area_under_roc_curve 0.9978358088142502 [0.999845,0.999761,0.999029,1,0.987346,0.999858] area_under_roc_curve 0.9981202643659088 [1,0.984637,1,1,1,0.999858] area_under_roc_curve 0.9999447311160731 [1,0.99988,0.999861,1,1,0.999927] area_under_roc_curve 0.9991543686554024 [1,0.998134,0.997711,1,1,0.999414] area_under_roc_curve 0.9999685593913099 [1,1,1,0.999828,1,1] area_under_roc_curve 0.9960806015283089 [1,0.968667,0.999895,1,0.999498,1] area_under_roc_curve 0.9999373413351909 [0.999763,1,1,1,1,0.999853] area_under_roc_curve 1 [1,1,1,1,1,1] 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 0.9784941624559224 [0.991304,0.955224,0.978417,0.980392,1,0.945455] f_measure 0.9825112856511142 [0.982456,0.985507,0.985075,0.990099,1,0.933333] f_measure 0.9821274183827737 [0.991453,0.985507,0.963504,1,0.975,0.981818] f_measure 0.9927955085849823 [0.991453,0.969697,1,1,1,0.982456] f_measure 0.985668273238149 [1,0.985507,0.969697,0.990476,1,0.964286] f_measure 0.9785474446188731 [1,0.942857,0.977778,0.971429,1,0.961538] f_measure 0.9855902469287984 [0.982759,0.969697,0.992701,0.98,1,0.981818] f_measure 0.9893108150678289 [1,0.969697,0.992593,1,0.965517,1] f_measure 0.9928175201977268 [0.982143,1,1,0.990291,1,0.981818] f_measure 0.9964258838639805 [0.99115,0.985507,1,1,1,1] kappa 0.9737934046735093 kappa 0.9782429639299424 kappa 0.9781727471156844 kappa 0.9912734525961479 kappa 0.9825746024831192 kappa 0.9738093382180996 kappa 0.982474599161419 kappa 0.9868660557368818 kappa 0.9912476079932239 kappa 0.9956229114698545 kb_relative_information_score 270.22605043294135 kb_relative_information_score 273.11113963442256 kb_relative_information_score 271.38438466721993 kb_relative_information_score 274.096654340555 kb_relative_information_score 272.58344303247924 kb_relative_information_score 261.4340958479752 kb_relative_information_score 272.18588914179696 kb_relative_information_score 270.8412795198612 kb_relative_information_score 265.83250207349863 kb_relative_information_score 272.50876087200595 mean_absolute_error 0.011752645502645178 mean_absolute_error 0.010059618291760655 mean_absolute_error 0.011665202191989524 mean_absolute_error 0.008053713151927619 mean_absolute_error 0.010239984882841313 mean_absolute_error 0.02808334918869464 mean_absolute_error 0.009484364036335362 mean_absolute_error 0.010897290019153825 mean_absolute_error 0.020879657267086724 mean_absolute_error 0.010427168079496778 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.9787836446287148 [1,0.969697,0.957746,0.980392,1,0.962963] precision 0.9840306122448979 [1,0.971429,1,1,1,0.875] precision 0.9824607101499406 [0.983051,0.971429,0.956522,1,1,1] precision 0.9930408282541537 [0.983051,1,1,1,1,0.965517] precision 0.9863763228127945 [1,0.971429,1,0.981132,1,0.931034] precision 0.9791133617626154 [1,0.942857,0.985075,0.944444,1,1] precision 0.9860860345860466 [0.966102,1,0.985507,1,1,0.964286] precision 0.9899641577060931 [1,1,1,1,0.933333,1] precision 0.9930284768994446 [1,1,1,0.980769,1,0.964286] precision 0.9965181771633383 [1,0.971429,1,1,1,1] predictive_accuracy 0.9785714285714286 predictive_accuracy 0.9821428571428571 predictive_accuracy 0.9821428571428571 predictive_accuracy 0.9928571428571429 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9785714285714286 predictive_accuracy 0.9856630824372761 predictive_accuracy 0.989247311827957 predictive_accuracy 0.992831541218638 predictive_accuracy 0.996415770609319 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.9785714285714285 [0.982759,0.941176,1,0.980392,1,0.928571] recall 0.9821428571428571 [0.965517,1,0.970588,0.980392,1,1] recall 0.9821428571428571 [1,1,0.970588,1,0.95122,0.964286] recall 0.9928571428571429 [1,0.941176,1,1,1,1] recall 0.9857142857142858 [1,1,0.941176,1,1,1] recall 0.9785714285714285 [1,0.942857,0.970588,1,1,0.925926] recall 0.985663082437276 [1,0.941176,1,0.960784,1,1] recall 0.989247311827957 [1,0.941176,0.985294,1,1,1] recall 0.992831541218638 [0.964912,1,1,1,1,1] recall 0.996415770609319 [0.982456,1,1,1,1,1] relative_absolute_error 0.04306497221318288 relative_absolute_error 0.03686124814301548 relative_absolute_error 0.0427445555254876 relative_absolute_error 0.029511052045485965 relative_absolute_error 0.037536011267892244 relative_absolute_error 0.10291596184504653 relative_absolute_error 0.03475720957199669 relative_absolute_error 0.03993513866733706 relative_absolute_error 0.07651737329390886 relative_absolute_error 0.03821228970050563 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.0746510348960199 root_mean_squared_error 0.0608562853521035 root_mean_squared_error 0.07200401419331688 root_mean_squared_error 0.05843245010881813 root_mean_squared_error 0.05838731125692939 root_mean_squared_error 0.08769839764105564 root_mean_squared_error 0.059690185702635436 root_mean_squared_error 0.06631964220189498 root_mean_squared_error 0.07158360953197325 root_mean_squared_error 0.05070031115640708 root_relative_squared_error 0.20208475034771461 root_relative_squared_error 0.164741550463419 root_relative_squared_error 0.1949191093272511 root_relative_squared_error 0.15818008563301744 root_relative_squared_error 0.15811623969720776 root_relative_squared_error 0.23742949579969147 root_relative_squared_error 0.16160276689096204 root_relative_squared_error 0.17955108621100585 root_relative_squared_error 0.19380253601553743 root_relative_squared_error 0.137263948313472 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 24698.389287000282 usercpu_time_millis 24588.32990100018 usercpu_time_millis 24758.317276000525 usercpu_time_millis 24337.952416000007 usercpu_time_millis 24939.501269000175 usercpu_time_millis 23885.629160999997 usercpu_time_millis 24326.96004599984 usercpu_time_millis 24087.402279000344 usercpu_time_millis 25036.09761200005 usercpu_time_millis 24481.415942999774 usercpu_time_millis_testing 10.189325000283134 usercpu_time_millis_testing 9.558795999510039 usercpu_time_millis_testing 9.624712000004365 usercpu_time_millis_testing 9.54109000031167 usercpu_time_millis_testing 9.589541999957873 usercpu_time_millis_testing 9.640547999879345 usercpu_time_millis_testing 9.585200000401528 usercpu_time_millis_testing 9.98501599951851 usercpu_time_millis_testing 9.360354999444098 usercpu_time_millis_testing 9.68973500039283 usercpu_time_millis_training 24688.199962 usercpu_time_millis_training 24578.77110500067 usercpu_time_millis_training 24748.69256400052 usercpu_time_millis_training 24328.411325999696 usercpu_time_millis_training 24929.911727000217 usercpu_time_millis_training 23875.988613000118 usercpu_time_millis_training 24317.37484599944 usercpu_time_millis_training 24077.417263000825 usercpu_time_millis_training 25026.737257000605 usercpu_time_millis_training 24471.72620799938