10484975 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) 8275614 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 1.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "liblinear" 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 21894897 description https://openml.org/data/download/21894897/description.xml -1 21894898 predictions https://openml.org/data/download/21894898/predictions.arff area_under_roc_curve 0.9946547319212162 [0.994655,0.994655] average_cost 0 f_measure 0.9656652360515021 [0.973799,0.950207] kappa 0.9240065955172225 kb_relative_information_score 0.8953918422213378 mean_absolute_error 0.04976621940684805 mean_prior_absolute_error 0.4519499019385762 weighted_recall 0.9656652360515021 [0.973799,0.950207] number_of_instances 699 [458,241] precision 0.9656652360515021 [0.973799,0.950207] predictive_accuracy 0.9656652360515021 prior_entropy 0.92931856324281 relative_absolute_error 0.11011446001732221 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.1610546756135254 root_relative_squared_error 0.3388512283964114 total_cost 0 unweighted_recall 0.9620032977586113 [0.973799,0.950207] area_under_roc_curve 0.9963768115942029 [0.996377,0.996377] area_under_roc_curve 0.9873188405797103 [0.987319,0.987319] 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 0.9972826086956522 [0.997283,0.997283] area_under_roc_curve 0.9981884057971013 [0.998188,0.998188] area_under_roc_curve 0.9882246376811594 [0.988225,0.988225] area_under_roc_curve 0.9902222222222223 [0.990222,0.990222] area_under_roc_curve 0.9944444444444446 [0.994444,0.994444] 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 0.9716825396825397 [0.977778,0.96] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9716825396825397 [0.977778,0.96] f_measure 0.9856391149459097 [0.989247,0.978723] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9573446961202065 [0.967033,0.938776] f_measure 0.9428571428571428 [0.955556,0.92] f_measure 0.956721134961068 [0.966292,0.938776] kappa 0.9039341262580056 kappa 0.9378330373001776 kappa 0.9353049907578558 kappa 0.9378330373001776 kappa 0.9679780420860019 kappa 0.9365942028985507 kappa 0.9353049907578558 kappa 0.9058295964125561 kappa 0.8755555555555555 kappa 0.9050894085281982 kb_relative_information_score 0.8845432896658757 kb_relative_information_score 0.9049723614592864 kb_relative_information_score 0.9216137278948424 kb_relative_information_score 0.9215835594147785 kb_relative_information_score 0.932734230636075 kb_relative_information_score 0.9189369280266306 kb_relative_information_score 0.8789015518876646 kb_relative_information_score 0.8522411275674798 kb_relative_information_score 0.8615292842199426 kb_relative_information_score 0.8771725677748542 mean_absolute_error 0.05459329968842671 mean_absolute_error 0.04566364807960407 mean_absolute_error 0.03645055771574779 mean_absolute_error 0.038137761314557726 mean_absolute_error 0.035281917508108995 mean_absolute_error 0.03848442039766261 mean_absolute_error 0.05870969220082263 mean_absolute_error 0.0672688691555652 mean_absolute_error 0.06536692729894507 mean_absolute_error 0.05782015695979676 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 weighted_recall 0.9571428571428572 [0.978261,0.916667] weighted_recall 0.9714285714285714 [0.956522,1] weighted_recall 0.9714285714285714 [1,0.916667] weighted_recall 0.9714285714285714 [0.956522,1] weighted_recall 0.9857142857142858 [1,0.958333] weighted_recall 0.9714285714285714 [0.978261,0.958333] weighted_recall 0.9714285714285714 [1,0.916667] weighted_recall 0.9571428571428572 [0.956522,0.958333] weighted_recall 0.9428571428571428 [0.955556,0.92] weighted_recall 0.9565217391304348 [0.955556,0.958333] 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 0.9736263736263737 [1,0.923077] precision 0.9726190476190477 [0.958333,1] precision 0.9736263736263737 [1,0.923077] precision 0.9860182370820668 [0.978723,1] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9726190476190477 [0.958333,1] precision 0.9579682539682539 [0.977778,0.92] precision 0.9428571428571428 [0.955556,0.92] precision 0.9573517786561265 [0.977273,0.92] predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9571428571428571 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 0.1209541816737899 relative_absolute_error 0.10117009261631624 relative_absolute_error 0.08075803084304425 relative_absolute_error 0.08449611466973758 relative_absolute_error 0.07816885010488119 relative_absolute_error 0.0852641551793979 relative_absolute_error 0.1300742548444269 relative_absolute_error 0.14903753880547158 relative_absolute_error 0.14341851654635523 relative_absolute_error 0.1276683635528353 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 0.16108196863384228 root_mean_squared_error 0.17241794291625392 root_mean_squared_error 0.14011316104816587 root_mean_squared_error 0.11600555592961365 root_mean_squared_error 0.09980058027336411 root_mean_squared_error 0.14323367366549397 root_mean_squared_error 0.16161230154328612 root_mean_squared_error 0.20132963132332704 root_mean_squared_error 0.19931459633973492 root_mean_squared_error 0.18406711666369077 root_relative_squared_error 0.33935562013047826 root_relative_squared_error 0.36323741531225595 root_relative_squared_error 0.2951800816640401 root_relative_squared_error 0.24439195587782345 root_relative_squared_error 0.21025250743635143 root_relative_squared_error 0.30175414767130065 root_relative_squared_error 0.34047288641972395 root_relative_squared_error 0.4241464297203414 root_relative_squared_error 0.41584022829252787 root_relative_squared_error 0.3864621152233527 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 8.473921996483114 usercpu_time_millis 5.327153005055152 usercpu_time_millis 5.259010998997837 usercpu_time_millis 5.55733800138114 usercpu_time_millis 5.182752000109758 usercpu_time_millis 5.517842997505795 usercpu_time_millis 5.330874999344815 usercpu_time_millis 5.497991995071061 usercpu_time_millis 5.41204099135939 usercpu_time_millis 5.4769850030425005 usercpu_time_millis_testing 1.2107910006307065 usercpu_time_millis_testing 0.5920710027567111 usercpu_time_millis_testing 0.584715002332814 usercpu_time_millis_testing 0.6308399970293976 usercpu_time_millis_testing 0.5951530038146302 usercpu_time_millis_testing 0.6455010006902739 usercpu_time_millis_testing 0.6308899974101223 usercpu_time_millis_testing 0.6174660011311062 usercpu_time_millis_testing 0.6139319957583211 usercpu_time_millis_testing 0.615794000623282 usercpu_time_millis_training 7.263130995852407 usercpu_time_millis_training 4.735082002298441 usercpu_time_millis_training 4.674295996665023 usercpu_time_millis_training 4.926498004351743 usercpu_time_millis_training 4.587598996295128 usercpu_time_millis_training 4.872341996815521 usercpu_time_millis_training 4.699985001934692 usercpu_time_millis_training 4.880525993939955 usercpu_time_millis_training 4.798108995601069 usercpu_time_millis_training 4.861191002419218 wall_clock_time_millis 8.508920669555664 wall_clock_time_millis 5.334615707397461 wall_clock_time_millis 5.267620086669922 wall_clock_time_millis 5.564451217651367 wall_clock_time_millis 5.19251823425293 wall_clock_time_millis 5.52058219909668 wall_clock_time_millis 5.3424835205078125 wall_clock_time_millis 5.501985549926758 wall_clock_time_millis 5.420207977294922 wall_clock_time_millis 5.485773086547852 wall_clock_time_millis_training 7.272958755493164 wall_clock_time_millis_training 4.738330841064453 wall_clock_time_millis_training 4.678487777709961 wall_clock_time_millis_training 4.929542541503906 wall_clock_time_millis_training 4.592180252075195 wall_clock_time_millis_training 4.87208366394043 wall_clock_time_millis_training 4.706621170043945 wall_clock_time_millis_training 4.8809051513671875 wall_clock_time_millis_training 4.801511764526367 wall_clock_time_millis_training 4.866600036621094 wall_clock_time_millis_testing 1.2359619140625 wall_clock_time_millis_testing 0.5962848663330078 wall_clock_time_millis_testing 0.5891323089599609 wall_clock_time_millis_testing 0.6349086761474609 wall_clock_time_millis_testing 0.6003379821777344 wall_clock_time_millis_testing 0.64849853515625 wall_clock_time_millis_testing 0.6358623504638672 wall_clock_time_millis_testing 0.6210803985595703 wall_clock_time_millis_testing 0.6186962127685547 wall_clock_time_millis_testing 0.6191730499267578 unweighted_recall 0.947463768115942 [0.978261,0.916667] unweighted_recall 0.9782608695652174 [0.956522,1] unweighted_recall 0.9583333333333333 [1,0.916667] unweighted_recall 0.9782608695652174 [0.956522,1] unweighted_recall 0.9791666666666667 [1,0.958333] unweighted_recall 0.9682971014492754 [0.978261,0.958333] unweighted_recall 0.9583333333333333 [1,0.916667] unweighted_recall 0.957427536231884 [0.956522,0.958333] unweighted_recall 0.9377777777777778 [0.955556,0.92] unweighted_recall 0.9569444444444445 [0.955556,0.958333]