10154573 7789 Sarim Zafar 41 Supervised Classification 8945 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2) 8080242 class_weight null 8906 criterion "gini" 8906 max_depth 4 8906 max_features null 8906 max_leaf_nodes null 8906 min_impurity_decrease 0.0 8906 min_impurity_split null 8906 min_samples_leaf 1 8906 min_samples_split 2 8906 min_weight_fraction_leaf 0.0 8906 presort false 8906 random_state 60416 8906 splitter "best" 8906 memory null 8945 copy true 8946 fill_value null 8946 missing_values NaN 8946 strategy "mean" 8946 verbose 0 8946 openml-python Sklearn_0.20.2. 42 soybean https://www.openml.org/data/download/42/dataset_42_soybean.arff -1 21229713 description https://api.openml.org/data/download/21229713/description.xml -1 21229714 predictions https://api.openml.org/data/download/21229714/predictions.arff area_under_roc_curve 0.9499010719316741 [0.965385,0.989027,0.945173,0.987166,0.969466,0.976169,0.842647,0.965019,0.793778,0.778017,0.948982,0.970586,0.96184,0.965288,0.946893,0.91502,0.96893,0.924803,0.956481] average_cost 0 kappa 0.6126104835279104 kb_relative_information_score 442.1186561359975 mean_absolute_error 0.045868802880883686 mean_prior_absolute_error 0.09611570064679377 number_of_instances 683 [20,20,20,88,44,20,20,92,20,20,20,44,20,91,91,15,14,16,8] predictive_accuracy 0.6486090775988287 prior_entropy 3.857247777958738 recall 0.6486090775988287 [0.6,0.9,0,0.806818,0.613636,0.9,0,0.880435,0,0.2,0.15,0.772727,0.85,0.967033,0.703297,0,0.428571,0,0] relative_absolute_error 0.4772248714020457 root_mean_prior_squared_error 0.21910963855275536 root_mean_squared_error 0.15336906504403372 root_relative_squared_error 0.6999649401872697 total_cost 0 area_under_roc_curve 0.9444206304363502 [0.962687,1,0.947761,0.975926,0.996154,0.947761,0.869403,0.95463,0.679104,0.615672,0.992537,0.976923,0.985075,0.966102,0.933333,0.941176,1,0.947761,1] area_under_roc_curve 0.9304448550276445 [0.925373,0.977612,0.925373,0.987037,0.944231,1,0.910448,0.952542,0.80597,0.615672,0.966418,0.921154,0.80597,0.932407,0.948148,0.919118,0.925373,0.925373,0.919118] area_under_roc_curve 0.9367057331434058 [0.91791,0.973881,0.91791,0.98873,0.894231,1,0.776119,0.932203,0.899254,0.91791,0.996269,0.975,0.977612,0.941667,0.913889,0.91791,0.911765,0.91791,0.911765] area_under_roc_curve 0.9581985906671919 [0.969697,1,0.916667,0.977083,0.992188,0.916667,0.829545,0.991525,0.82197,1,0.920455,0.961905,0.94697,0.974576,0.951724,0.916667,1,0.910448,0.962687] area_under_roc_curve 0.9645009291049017 [0.984848,0.969697,0.984848,0.992467,0.960938,0.939394,0.939394,0.982109,0.863636,0.882576,0.969697,0.960317,0.977273,0.973635,0.963277,0.939394,0.932836,0.932836,0.970149] area_under_roc_curve 0.9578117078842515 [0.962121,1,0.909091,0.968927,1,0.909091,0.761364,0.998117,0.909091,0.659091,0.92803,0.984127,0.992424,0.983051,0.990584,0.909091,0.992537,0.902985,0.970149] area_under_roc_curve 0.9667971060435455 [0.984848,0.992424,0.984848,0.988701,0.944444,0.939394,0.799242,0.997175,0.852273,0.939394,0.969697,1,0.992424,0.966102,0.979284,0.939394,0.932836,0.932836,0.985075] area_under_roc_curve 0.9322580453642144 [0.931818,0.962121,0.931818,0.990584,0.952381,1,0.893939,0.94162,0.772727,0.333333,0.931818,0.964844,0.969697,0.966102,0.954802,0.925373,0.925373,0.931818,0.925373] area_under_roc_curve 0.9440742215080116 [0.969697,1,0.909091,0.968927,0.984127,0.909091,0.825758,0.951977,0.636364,0.912879,0.863636,0.984375,0.977273,0.974576,0.950094,0.902985,1,0.909091,0.0] area_under_roc_curve 0.9527995511973965 [0.916667,0.950758,0.916667,0.99435,0.990476,1,0.890152,0.975518,0.856061,0.916667,0.973485,0.941406,0.992424,0.949153,0.933145,0.910448,0.916667,0.916667,0.0] 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 average_cost 0 kappa 0.6150627615062761 kappa 0.5805471124620061 kappa 0.5715271389144435 kappa 0.6357438519600682 kappa 0.6453295400663822 kappa 0.6935483870967741 kappa 0.6588628762541806 kappa 0.5641025641025641 kappa 0.583313693141645 kappa 0.5799477310525065 kb_relative_information_score 45.83220755943352 kb_relative_information_score 41.727324770246156 kb_relative_information_score 43.07316594068443 kb_relative_information_score 45.12352647745638 kb_relative_information_score 45.988696906447686 kb_relative_information_score 46.71646905284641 kb_relative_information_score 47.13324476545645 kb_relative_information_score 40.988137784528796 kb_relative_information_score 42.868721217874274 kb_relative_information_score 42.667161661022426 mean_absolute_error 0.04419997765492225 mean_absolute_error 0.049466219406430666 mean_absolute_error 0.050231896759890704 mean_absolute_error 0.04341079771670318 mean_absolute_error 0.042930140415942904 mean_absolute_error 0.041269625758265094 mean_absolute_error 0.04194711023234522 mean_absolute_error 0.049798823620115916 mean_absolute_error 0.04647809782203646 mean_absolute_error 0.0488628146401462 mean_prior_absolute_error 0.09610766666449348 mean_prior_absolute_error 0.09610549351205337 mean_prior_absolute_error 0.0961989390669787 mean_prior_absolute_error 0.09610533372143275 mean_prior_absolute_error 0.09611194905312549 mean_prior_absolute_error 0.09611194905312549 mean_prior_absolute_error 0.09611194905312549 mean_prior_absolute_error 0.09610974394256125 mean_prior_absolute_error 0.09609651327917579 mean_prior_absolute_error 0.09609651327917579 number_of_instances 69 [2,2,2,9,4,2,2,9,2,2,2,4,2,10,9,1,2,2,1] number_of_instances 69 [2,2,2,9,4,2,2,10,2,2,2,4,2,9,9,1,2,2,1] number_of_instances 69 [2,2,2,8,4,2,2,10,2,2,2,5,2,9,9,2,1,2,1] number_of_instances 68 [2,2,2,8,4,2,2,9,2,2,2,5,2,9,10,2,1,1,1] number_of_instances 68 [2,2,2,9,4,2,2,9,2,2,2,5,2,9,9,2,1,1,1] number_of_instances 68 [2,2,2,9,4,2,2,9,2,2,2,5,2,9,9,2,1,1,1] number_of_instances 68 [2,2,2,9,5,2,2,9,2,2,2,4,2,9,9,2,1,1,1] number_of_instances 68 [2,2,2,9,5,2,2,9,2,2,2,4,2,9,9,1,1,2,1] number_of_instances 68 [2,2,2,9,5,2,2,9,2,2,2,4,2,9,9,1,2,2,0] number_of_instances 68 [2,2,2,9,5,2,2,9,2,2,2,4,2,9,9,1,2,2,0] predictive_accuracy 0.6521739130434783 predictive_accuracy 0.6231884057971014 predictive_accuracy 0.6086956521739131 predictive_accuracy 0.676470588235294 predictive_accuracy 0.676470588235294 predictive_accuracy 0.7205882352941176 predictive_accuracy 0.6911764705882354 predictive_accuracy 0.6029411764705883 predictive_accuracy 0.6176470588235294 predictive_accuracy 0.6176470588235294 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 prior_entropy 3.857247777958738 recall 0.6521739130434783 [0,1,0,0.777778,0.75,1,0,0.888889,0,0,0,1,1,1,0.555556,0,1,0,0] recall 0.6231884057971014 [1,1,0,0.888889,0.5,1,0,1,0,0,0,0.5,0,0.888889,0.777778,0,0,0,0] recall 0.6086956521739131 [1,0.5,0,0.875,0.5,1,0,0.7,0,0,1,0.8,1,1,0.444444,0,0,0,0] recall 0.6764705882352942 [0,1,0,1,0.5,0,0,1,0,1,0,0.8,0.5,1,0.8,0,1,0,0] recall 0.6764705882352942 [1,1,0,0.777778,0.75,1,0,1,0,0,0,0.8,1,0.888889,0.777778,0,0,0,0] recall 0.7205882352941176 [0,1,0,0.666667,1,1,0,1,0,0.5,0,1,1,1,0.888889,0,1,0,0] recall 0.6911764705882353 [1,1,0,0.888889,0.6,1,0,1,0,0,0,0.75,1,1,0.777778,0,0,0,0] recall 0.6029411764705882 [1,1,0,0.777778,0.4,1,0,0.777778,0,0,0,0.5,1,0.888889,0.777778,0,0,0,0] recall 0.6176470588235294 [0,1,0,0.666667,0.6,1,0,0.555556,0,0.5,0,1,1,1,0.666667,0,1,0,0.0] recall 0.6176470588235294 [1,0.5,0,0.777778,0.6,1,0,0.888889,0,0,0.5,0.5,1,1,0.555556,0,0,0,0.0] relative_absolute_error 0.4599006425701907 relative_absolute_error 0.5147075114933645 relative_absolute_error 0.5221668476501248 relative_absolute_error 0.4517001922342006 relative_absolute_error 0.44666808694321075 relative_absolute_error 0.42939120645085943 relative_absolute_error 0.43644011640175073 relative_absolute_error 0.518145419780512 relative_absolute_error 0.4836606057392544 relative_absolute_error 0.5084764573943685 root_mean_prior_squared_error 0.2190913045385832 root_mean_prior_squared_error 0.2190863450148778 root_mean_prior_squared_error 0.2192995032527512 root_mean_prior_squared_error 0.21908598033958607 root_mean_prior_squared_error 0.21910107738906764 root_mean_prior_squared_error 0.21910107738906764 root_mean_prior_squared_error 0.21910107738906764 root_mean_prior_squared_error 0.21909604515482695 root_mean_prior_squared_error 0.2190658493218432 root_mean_prior_squared_error 0.2190658493218432 root_mean_squared_error 0.15313919902286985 root_mean_squared_error 0.16292582823464777 root_mean_squared_error 0.16231867571783493 root_mean_squared_error 0.14632707722881103 root_mean_squared_error 0.14695061848056545 root_mean_squared_error 0.1400234671105287 root_mean_squared_error 0.14384291662272758 root_mean_squared_error 0.16225277450320724 root_mean_squared_error 0.15482976016090302 root_mean_squared_error 0.15871443898623533 root_relative_squared_error 0.6989743355875686 root_relative_squared_error 0.7436603510071964 root_relative_squared_error 0.7401689165285356 root_relative_squared_error 0.6678979503937321 root_relative_squared_error 0.6706978360476914 root_relative_squared_error 0.639081600050203 root_relative_squared_error 0.6565139630386173 root_relative_squared_error 0.7405554691256491 root_relative_squared_error 0.7067726925041294 root_relative_squared_error 0.7245056200113515 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 2.186999999999273 usercpu_time_millis 2.234000000008507 usercpu_time_millis 2.152999999992744 usercpu_time_millis 2.1569999999897504 usercpu_time_millis 2.1020000000007144 usercpu_time_millis 2.0580000000052223 usercpu_time_millis 2.152999999992744 usercpu_time_millis 2.1069999999880906 usercpu_time_millis 2.1320000000031314 usercpu_time_millis 2.149999999993213 usercpu_time_millis_testing 0.3600000000005821 usercpu_time_millis_testing 0.4120000000042978 usercpu_time_millis_testing 0.3570000000010509 usercpu_time_millis_testing 0.4099999999951365 usercpu_time_millis_testing 0.3570000000010509 usercpu_time_millis_testing 0.3560000000035757 usercpu_time_millis_testing 0.3570000000010509 usercpu_time_millis_testing 0.35799999999852616 usercpu_time_millis_testing 0.3560000000035757 usercpu_time_millis_testing 0.3719999999987067 usercpu_time_millis_training 1.8269999999986908 usercpu_time_millis_training 1.8220000000042091 usercpu_time_millis_training 1.7959999999916931 usercpu_time_millis_training 1.746999999994614 usercpu_time_millis_training 1.7449999999996635 usercpu_time_millis_training 1.7020000000016466 usercpu_time_millis_training 1.7959999999916931 usercpu_time_millis_training 1.7489999999895645 usercpu_time_millis_training 1.7759999999995557 usercpu_time_millis_training 1.7779999999945062