10547451 8323 Heinrich Peters 15 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275615 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.01 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 10000 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "lbfgs" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 22019857 description https://api.openml.org/data/download/22019857/description.xml -1 22019859 predictions https://api.openml.org/data/download/22019859/predictions.arff area_under_roc_curve 0.9943466995234558 [0.994347,0.994347] average_cost 0 f_measure 0.9583192883562183 [0.968649,0.938689] kappa 0.907355017984214 kb_relative_information_score 0.765248017950388 mean_absolute_error 0.12480009610450338 mean_prior_absolute_error 0.4519499019385762 weighted_recall 0.9585121602288984 [0.978166,0.921162] number_of_instances 699 [458,241] precision 0.9584810243048238 [0.959315,0.956897] predictive_accuracy 0.9585121602288984 prior_entropy 0.92931856324281 relative_absolute_error 0.276137013348583 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.18818864872568625 root_relative_squared_error 0.3959397921733128 total_cost 0 unweighted_recall 0.9496638822953849 [0.978166,0.921162] area_under_roc_curve 0.9963768115942029 [0.996377,0.996377] area_under_roc_curve 0.983695652173913 [0.983696,0.983696] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9963768115942029 [0.996377,0.996377] area_under_roc_curve 0.9981884057971013 [0.998188,0.998188] area_under_roc_curve 0.9891304347826088 [0.98913,0.98913] area_under_roc_curve 0.992 [0.992,0.992] area_under_roc_curve 0.9925925925925925 [0.992593,0.992593] 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 0.9569173448377291 [0.967742,0.93617] f_measure 0.9573446961202065 [0.967033,0.938776] f_measure 0.956390977443609 [0.968421,0.933333] f_measure 0.985781565373402 [0.989011,0.979592] f_measure 0.956390977443609 [0.968421,0.933333] f_measure 0.9856391149459097 [0.989247,0.978723] f_measure 0.9414502164502165 [0.958333,0.909091] f_measure 0.9428571428571428 [0.956522,0.916667] f_measure 0.9428571428571428 [0.955556,0.92] f_measure 0.956721134961068 [0.966292,0.938776] kappa 0.9039341262580056 kappa 0.9058295964125561 kappa 0.9019607843137256 kappa 0.9686098654708521 kappa 0.9019607843137256 kappa 0.9679780420860019 kappa 0.8679245283018867 kappa 0.8731884057971014 kappa 0.8755555555555555 kappa 0.9050894085281982 kb_relative_information_score 0.7356940465490743 kb_relative_information_score 0.7697086872825557 kb_relative_information_score 0.804275387985625 kb_relative_information_score 0.8046300500896456 kb_relative_information_score 0.7834196302767532 kb_relative_information_score 0.7905368831713873 kb_relative_information_score 0.7492862643185646 kb_relative_information_score 0.7341985367381436 kb_relative_information_score 0.7363600361496201 kb_relative_information_score 0.7445871352297541 mean_absolute_error 0.141649032758405 mean_absolute_error 0.12255509329144174 mean_absolute_error 0.10636251737288749 mean_absolute_error 0.10915474447101389 mean_absolute_error 0.11741511956835543 mean_absolute_error 0.11434273682703695 mean_absolute_error 0.13030745550932835 mean_absolute_error 0.13294006141341988 mean_absolute_error 0.1380591050495549 mean_absolute_error 0.13536603679343126 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45577746077032805 mean_prior_absolute_error 0.45289338212491465 number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [45,25] number_of_instances 69 [45,24] precision 0.9571296418659971 [0.957447,0.956522] precision 0.9579682539682539 [0.977778,0.92] precision 0.9597667638483965 [0.938776,1] precision 0.9862857142857142 [1,0.96] precision 0.9597667638483965 [0.938776,1] precision 0.9860182370820668 [0.978723,1] precision 0.9474285714285713 [0.92,1] precision 0.9428571428571428 [0.956522,0.916667] precision 0.9428571428571428 [0.955556,0.92] precision 0.9573517786561265 [0.977273,0.92] predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.942857142857143 predictive_accuracy 0.942857142857143 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9565217391304348 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9407371142179634 prior_entropy 0.9321331970800204 relative_absolute_error 0.31383050557408954 relative_absolute_error 0.2715269291950084 relative_absolute_error 0.2356514686422065 relative_absolute_error 0.24183778721296062 relative_absolute_error 0.2601390607377281 relative_absolute_error 0.2533320433494087 relative_absolute_error 0.28870267481681156 relative_absolute_error 0.29453534466121156 relative_absolute_error 0.3029090223465978 relative_absolute_error 0.298891620271226 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.4793057111336632 root_mean_prior_squared_error 0.4762876085727333 root_mean_squared_error 0.19735397766395446 root_mean_squared_error 0.19345932794963058 root_mean_squared_error 0.16066305109700502 root_mean_squared_error 0.1457513577936522 root_mean_squared_error 0.1717140789986857 root_mean_squared_error 0.1732529206943634 root_mean_squared_error 0.20151267745997048 root_mean_squared_error 0.22065849241405477 root_mean_squared_error 0.20800652964095265 root_mean_squared_error 0.19672026907643825 root_relative_squared_error 0.4157708155877181 root_relative_squared_error 0.4075658545967106 root_relative_squared_error 0.33847307553717193 root_relative_squared_error 0.30705821904471375 root_relative_squared_error 0.361754566683948 root_relative_squared_error 0.3649964849591486 root_relative_squared_error 0.42453205783092346 root_relative_squared_error 0.4648670497716765 root_relative_squared_error 0.4339746529390846 root_relative_squared_error 0.41302831636947224 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 0.947463768115942 [0.978261,0.916667] unweighted_recall 0.957427536231884 [0.956522,0.958333] unweighted_recall 0.9375 [1,0.875] unweighted_recall 0.9891304347826086 [0.978261,1] unweighted_recall 0.9375 [1,0.875] unweighted_recall 0.9791666666666667 [1,0.958333] unweighted_recall 0.9166666666666667 [1,0.833333] unweighted_recall 0.9365942028985508 [0.956522,0.916667] unweighted_recall 0.9377777777777778 [0.955556,0.92] unweighted_recall 0.9569444444444445 [0.955556,0.958333] usercpu_time_millis 7.763357018120587 usercpu_time_millis 6.706959044095129 usercpu_time_millis 6.709495966788381 usercpu_time_millis 6.609682051930577 usercpu_time_millis 6.712328002322465 usercpu_time_millis 6.507922022137791 usercpu_time_millis 6.7430350463837385 usercpu_time_millis 6.881699955556542 usercpu_time_millis 6.846725009381771 usercpu_time_millis 5.778799997642636 usercpu_time_millis_testing 0.4702670266851783 usercpu_time_millis_testing 0.4619890241883695 usercpu_time_millis_testing 0.4619319806806743 usercpu_time_millis_testing 0.48776803305372596 usercpu_time_millis_testing 0.4781809984706342 usercpu_time_millis_testing 0.4646609886549413 usercpu_time_millis_testing 0.534060993231833 usercpu_time_millis_testing 0.4619850078597665 usercpu_time_millis_testing 0.4855570150539279 usercpu_time_millis_testing 0.40874601108953357 usercpu_time_millis_training 7.293089991435409 usercpu_time_millis_training 6.244970019906759 usercpu_time_millis_training 6.247563986107707 usercpu_time_millis_training 6.121914018876851 usercpu_time_millis_training 6.234147003851831 usercpu_time_millis_training 6.04326103348285 usercpu_time_millis_training 6.2089740531519055 usercpu_time_millis_training 6.419714947696775 usercpu_time_millis_training 6.361167994327843 usercpu_time_millis_training 5.370053986553103 wall_clock_time_millis 7.766485214233398 wall_clock_time_millis 6.715297698974609 wall_clock_time_millis 6.715536117553711 wall_clock_time_millis 6.61468505859375 wall_clock_time_millis 6.717920303344727 wall_clock_time_millis 6.514072418212891 wall_clock_time_millis 6.748437881469727 wall_clock_time_millis 6.884574890136719 wall_clock_time_millis 6.859779357910156 wall_clock_time_millis 5.7849884033203125 wall_clock_time_millis_testing 0.47326087951660156 wall_clock_time_millis_testing 0.46515464782714844 wall_clock_time_millis_testing 0.4649162292480469 wall_clock_time_millis_testing 0.48995018005371094 wall_clock_time_millis_testing 0.48065185546875 wall_clock_time_millis_testing 0.46706199645996094 wall_clock_time_millis_testing 0.5373954772949219 wall_clock_time_millis_testing 0.4646778106689453 wall_clock_time_millis_testing 0.48851966857910156 wall_clock_time_millis_testing 0.4115104675292969 wall_clock_time_millis_training 7.293224334716797 wall_clock_time_millis_training 6.250143051147461 wall_clock_time_millis_training 6.250619888305664 wall_clock_time_millis_training 6.124734878540039 wall_clock_time_millis_training 6.237268447875977 wall_clock_time_millis_training 6.04701042175293 wall_clock_time_millis_training 6.211042404174805 wall_clock_time_millis_training 6.419897079467773 wall_clock_time_millis_training 6.371259689331055 wall_clock_time_millis_training 5.373477935791016 weighted_recall 0.9571428571428572 [0.978261,0.916667] weighted_recall 0.9571428571428572 [0.956522,0.958333] weighted_recall 0.9571428571428572 [1,0.875] weighted_recall 0.9857142857142858 [0.978261,1] weighted_recall 0.9571428571428572 [1,0.875] weighted_recall 0.9857142857142858 [1,0.958333] weighted_recall 0.9428571428571428 [1,0.833333] weighted_recall 0.9428571428571428 [0.956522,0.916667] weighted_recall 0.9428571428571428 [0.955556,0.92] weighted_recall 0.9565217391304348 [0.955556,0.958333]