10464977 12974 Sean Broestl 14 Supervised Classification 18594 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1) 8275584 add_indicator false 18585 copy true 18585 fill_value null 18585 missing_values NaN 18585 strategy "mean" 18585 verbose 0 18585 ccp_alpha 0.0 18586 class_weight null 18586 criterion "gini" 18586 max_depth null 18586 max_features null 18586 max_leaf_nodes null 18586 min_impurity_decrease 0.0 18586 min_impurity_split null 18586 min_samples_leaf 1 18586 min_samples_split 2 18586 min_weight_fraction_leaf 0.0 18586 presort "deprecated" 18586 random_state 14292 18586 splitter "best" 18586 memory null 18594 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 18594 verbose false 18594 openml-python Sklearn_0.23.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21854882 description https://api.openml.org/data/download/21854882/description.xml -1 21854883 predictions https://api.openml.org/data/download/21854883/predictions.arff area_under_roc_curve 0.8608333333333333 [0.991111,0.805556,0.916389,0.872222,0.821389,0.893889,0.730278,0.881667,0.959444,0.736389] average_cost 0 f_measure 0.7497134584406723 [0.9801,0.661538,0.84788,0.784615,0.674938,0.821429,0.513716,0.778325,0.916256,0.518337] kappa 0.7216666666666668 kb_relative_information_score 0.738037748614562 mean_absolute_error 0.05010000000000044 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.7495 [0.985,0.645,0.85,0.765,0.68,0.805,0.515,0.79,0.93,0.53] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.750323935798925 [0.975248,0.678947,0.845771,0.805263,0.669951,0.838542,0.512438,0.76699,0.902913,0.507177] predictive_accuracy 0.7495 prior_entropy 3.3219280948872383 relative_absolute_error 0.2783333333333272 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2238302928559949 root_relative_squared_error 0.7461009761866383 total_cost 0 unweighted_recall 0.7495 [0.985,0.645,0.85,0.765,0.68,0.805,0.515,0.79,0.93,0.53] area_under_roc_curve 0.8666666666666667 [1,0.880556,0.902778,0.891667,0.788889,0.947222,0.725,0.763889,0.969444,0.797222] area_under_roc_curve 0.8638888888888888 [0.972222,0.858333,0.866667,0.872222,0.780556,0.858333,0.747222,0.938889,0.95,0.794444] area_under_roc_curve 0.85 [1,0.833333,0.919444,0.816667,0.877778,0.894444,0.658333,0.869444,0.969444,0.661111] area_under_roc_curve 0.8694444444444446 [1,0.788889,0.916667,0.938889,0.866667,0.919444,0.725,0.866667,0.95,0.722222] area_under_roc_curve 0.8333333333333333 [0.997222,0.730556,0.919444,0.830556,0.755556,0.805556,0.775,0.825,0.966667,0.727778] area_under_roc_curve 0.8833333333333333 [0.972222,0.911111,0.972222,0.841667,0.85,0.894444,0.825,0.861111,0.991667,0.713889] area_under_roc_curve 0.8611111111111112 [1,0.777778,0.869444,0.916667,0.811111,0.886111,0.722222,0.958333,0.997222,0.672222] area_under_roc_curve 0.8444444444444444 [0.972222,0.766667,0.891667,0.808333,0.777778,0.941667,0.777778,0.869444,0.869444,0.769444] area_under_roc_curve 0.8805555555555554 [1,0.719444,0.966667,0.961111,0.863889,0.869444,0.686111,0.933333,0.991667,0.813889] area_under_roc_curve 0.8555555555555556 [0.997222,0.788889,0.938889,0.844444,0.841667,0.922222,0.661111,0.930556,0.938889,0.691667] 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 0.7582870384798917 [1,0.744186,0.755556,0.820513,0.666667,0.923077,0.512821,0.628571,0.926829,0.604651] f_measure 0.7583612002033054 [0.95,0.731707,0.789474,0.833333,0.615385,0.731707,0.536585,0.857143,0.947368,0.590909] f_measure 0.7354080567759405 [1,0.7,0.871795,0.722222,0.727273,0.842105,0.372093,0.810811,0.926829,0.380952] f_measure 0.7661933680354734 [1,0.666667,0.85,0.857143,0.666667,0.871795,0.512821,0.789474,0.947368,0.5] f_measure 0.6967425704714116 [0.97561,0.540541,0.871795,0.682927,0.578947,0.65,0.585366,0.651163,0.904762,0.526316] f_measure 0.7867053905548397 [0.95,0.809524,0.95,0.756757,0.681818,0.842105,0.651163,0.75,0.930233,0.545455] f_measure 0.7466615974125602 [1,0.6,0.810811,0.85,0.684211,0.780488,0.5,0.844444,0.97561,0.421053] f_measure 0.7240443969627179 [0.95,0.545455,0.820513,0.666667,0.6,0.878049,0.6,0.810811,0.810811,0.55814] f_measure 0.7758092551751072 [1,0.580645,0.904762,0.863636,0.769231,0.810811,0.484848,0.818182,0.930233,0.595745] f_measure 0.7405810284886023 [0.97561,0.666667,0.857143,0.777778,0.756757,0.894737,0.380952,0.8,0.857143,0.439024] kappa 0.7333333333333334 kappa 0.7277777777777777 kappa 0.7 kappa 0.7388888888888889 kappa 0.6666666666666666 kappa 0.7666666666666667 kappa 0.7222222222222222 kappa 0.6888888888888889 kappa 0.7611111111111112 kappa 0.7111111111111111 kb_relative_information_score 0.7490182022654411 kb_relative_information_score 0.7437894148126376 kb_relative_information_score 0.7176454775486207 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.6862727528318004 kb_relative_information_score 0.7803909269822613 kb_relative_information_score 0.7385606273598343 kb_relative_information_score 0.707187902643014 kb_relative_information_score 0.775162139529458 kb_relative_information_score 0.7281030524542276 mean_absolute_error 0.04799999999999999 mean_absolute_error 0.04899999999999999 mean_absolute_error 0.053999999999999965 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.05999999999999995 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.04999999999999998 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.04300000000000001 mean_absolute_error 0.05199999999999998 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 0.7644754276996841 [1,0.695652,0.68,0.842105,0.75,0.947368,0.526316,0.733333,0.904762,0.565217] precision 0.7664641717931192 [0.95,0.714286,0.833333,0.9375,0.631579,0.714286,0.52381,0.818182,1,0.541667] precision 0.746136969419208 [1,0.7,0.894737,0.8125,0.666667,0.888889,0.347826,0.882353,0.904762,0.363636] precision 0.7743996354522671 [1,0.75,0.85,0.818182,0.571429,0.894737,0.526316,0.833333,1,0.5] precision 0.6962447009176045 [0.952381,0.588235,0.894737,0.666667,0.611111,0.65,0.571429,0.608696,0.863636,0.555556] precision 0.7930714135253777 [0.95,0.772727,0.95,0.823529,0.625,0.888889,0.608696,0.75,0.869565,0.692308] precision 0.7473305322128851 [1,0.6,0.882353,0.85,0.722222,0.761905,0.5,0.76,0.952381,0.444444] precision 0.7319903659404265 [0.95,0.5,0.842105,0.684211,0.6,0.857143,0.6,0.882353,0.882353,0.521739] precision 0.7898779825166286 [1,0.818182,0.863636,0.791667,0.789474,0.882353,0.615385,0.75,0.869565,0.518519] precision 0.7493926237161532 [0.952381,0.75,0.818182,0.875,0.823529,0.944444,0.363636,0.72,0.818182,0.428571] predictive_accuracy 0.76 predictive_accuracy 0.755 predictive_accuracy 0.73 predictive_accuracy 0.765 predictive_accuracy 0.7 predictive_accuracy 0.79 predictive_accuracy 0.75 predictive_accuracy 0.72 predictive_accuracy 0.785 predictive_accuracy 0.74 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 relative_absolute_error 0.2666666666666669 relative_absolute_error 0.2722222222222225 relative_absolute_error 0.30000000000000016 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.3333333333333334 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.277777777777778 relative_absolute_error 0.3111111111111112 relative_absolute_error 0.2388888888888892 relative_absolute_error 0.2888888888888891 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 0.21908902300206642 root_mean_squared_error 0.22135943621178653 root_mean_squared_error 0.23237900077244494 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.24494897427831772 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.22360679774997894 root_mean_squared_error 0.23664319132398456 root_mean_squared_error 0.20736441353327723 root_mean_squared_error 0.22803508501982755 root_relative_squared_error 0.7302967433402218 root_relative_squared_error 0.7378647873726222 root_relative_squared_error 0.7745966692414835 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.8164965809277261 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.7453559924999302 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.6912147117775912 root_relative_squared_error 0.7601169500660923 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 unweighted_recall 0.76 [1,0.8,0.85,0.8,0.6,0.9,0.5,0.55,0.95,0.65] unweighted_recall 0.7550000000000001 [0.95,0.75,0.75,0.75,0.6,0.75,0.55,0.9,0.9,0.65] unweighted_recall 0.7300000000000001 [1,0.7,0.85,0.65,0.8,0.8,0.4,0.75,0.95,0.4] unweighted_recall 0.765 [1,0.6,0.85,0.9,0.8,0.85,0.5,0.75,0.9,0.5] unweighted_recall 0.7 [1,0.5,0.85,0.7,0.55,0.65,0.6,0.7,0.95,0.5] unweighted_recall 0.79 [0.95,0.85,0.95,0.7,0.75,0.8,0.7,0.75,1,0.45] unweighted_recall 0.7500000000000001 [1,0.6,0.75,0.85,0.65,0.8,0.5,0.95,1,0.4] unweighted_recall 0.72 [0.95,0.6,0.8,0.65,0.6,0.9,0.6,0.75,0.75,0.6] unweighted_recall 0.785 [1,0.45,0.95,0.95,0.75,0.75,0.4,0.9,1,0.7] unweighted_recall 0.7400000000000001 [1,0.6,0.9,0.7,0.7,0.85,0.4,0.9,0.9,0.45] usercpu_time_millis 153.06700000000006 usercpu_time_millis 169.64699999999942 usercpu_time_millis 143.21500000000142 usercpu_time_millis 140.6300000000016 usercpu_time_millis 134.1689999999982 usercpu_time_millis 134.42099999999965 usercpu_time_millis 146.81600000000117 usercpu_time_millis 131.15799999999922 usercpu_time_millis 138.0090000000003 usercpu_time_millis 139.7790000000008 usercpu_time_millis_testing 0.5269999999999442 usercpu_time_millis_testing 0.5910000000000082 usercpu_time_millis_testing 0.7030000000014525 usercpu_time_millis_testing 0.5330000000007828 usercpu_time_millis_testing 0.5389999999998452 usercpu_time_millis_testing 0.5299999999994753 usercpu_time_millis_testing 0.5389999999998452 usercpu_time_millis_testing 0.5119999999987357 usercpu_time_millis_testing 0.5280000000009721 usercpu_time_millis_testing 0.5420000000011527 usercpu_time_millis_training 152.54000000000013 usercpu_time_millis_training 169.05599999999941 usercpu_time_millis_training 142.51199999999997 usercpu_time_millis_training 140.0970000000008 usercpu_time_millis_training 133.62999999999835 usercpu_time_millis_training 133.8910000000002 usercpu_time_millis_training 146.27700000000132 usercpu_time_millis_training 130.64600000000047 usercpu_time_millis_training 137.4809999999993 usercpu_time_millis_training 139.23699999999963 wall_clock_time_millis 153.75614166259766 wall_clock_time_millis 171.76580429077148 wall_clock_time_millis 143.9509391784668 wall_clock_time_millis 140.8827304840088 wall_clock_time_millis 134.33480262756348 wall_clock_time_millis 135.0688934326172 wall_clock_time_millis 147.5226879119873 wall_clock_time_millis 131.38914108276367 wall_clock_time_millis 138.14020156860352 wall_clock_time_millis 139.95099067687988 wall_clock_time_millis_testing 0.5309581756591797 wall_clock_time_millis_testing 0.5948543548583984 wall_clock_time_millis_testing 0.7250308990478516 wall_clock_time_millis_testing 0.5359649658203125 wall_clock_time_millis_testing 0.5459785461425781 wall_clock_time_millis_testing 0.5319118499755859 wall_clock_time_millis_testing 0.5409717559814453 wall_clock_time_millis_testing 0.5140304565429688 wall_clock_time_millis_testing 0.530242919921875 wall_clock_time_millis_testing 0.5440711975097656 wall_clock_time_millis_training 153.22518348693848 wall_clock_time_millis_training 171.1709499359131 wall_clock_time_millis_training 143.22590827941895 wall_clock_time_millis_training 140.34676551818848 wall_clock_time_millis_training 133.7888240814209 wall_clock_time_millis_training 134.5369815826416 wall_clock_time_millis_training 146.98171615600586 wall_clock_time_millis_training 130.8751106262207 wall_clock_time_millis_training 137.60995864868164 wall_clock_time_millis_training 139.40691947937012 weighted_recall 0.76 [1,0.8,0.85,0.8,0.6,0.9,0.5,0.55,0.95,0.65] weighted_recall 0.755 [0.95,0.75,0.75,0.75,0.6,0.75,0.55,0.9,0.9,0.65] weighted_recall 0.73 [1,0.7,0.85,0.65,0.8,0.8,0.4,0.75,0.95,0.4] weighted_recall 0.765 [1,0.6,0.85,0.9,0.8,0.85,0.5,0.75,0.9,0.5] weighted_recall 0.7 [1,0.5,0.85,0.7,0.55,0.65,0.6,0.7,0.95,0.5] weighted_recall 0.79 [0.95,0.85,0.95,0.7,0.75,0.8,0.7,0.75,1,0.45] weighted_recall 0.75 [1,0.6,0.75,0.85,0.65,0.8,0.5,0.95,1,0.4] weighted_recall 0.72 [0.95,0.6,0.8,0.65,0.6,0.9,0.6,0.75,0.75,0.6] weighted_recall 0.785 [1,0.45,0.95,0.95,0.75,0.75,0.4,0.9,1,0.7] weighted_recall 0.74 [1,0.6,0.9,0.7,0.7,0.85,0.4,0.9,0.9,0.45]