10556789 8323 Heinrich Peters 14952 Supervised Classification 18608 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275680 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "most_frequent" 17407 verbose 0 17407 categorical_features null 17408 categories null 17408 drop null 17408 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 17408 handle_unknown "ignore" 17408 n_values null 17408 sparse true 17408 C 15.0 17462 class_weight null 17462 dual true 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 100 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18608 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18608 verbose false 18608 openml-python Sklearn_0.21.2. 4534 PhishingWebsites https://www.openml.org/data/download/1798106/phpV5QYya -1 22038535 description https://api.openml.org/data/download/22038535/description.xml -1 22038536 predictions https://api.openml.org/data/download/22038536/predictions.arff area_under_roc_curve 0.986309888527985 [0.98631,0.98631] average_cost 0 f_measure 0.9362852546820402 [0.92778,0.943051] kappa 0.8708338132498108 kb_relative_information_score 0.8338411309407396 mean_absolute_error 0.08650922213124101 mean_prior_absolute_error 0.4935162627341074 weighted_recall 0.936318407960199 [0.923234,0.946727] number_of_instances 11055 [4898,6157] precision 0.9362878730449533 [0.932371,0.939404] predictive_accuracy 0.936318407960199 prior_entropy 0.990623923051704 relative_absolute_error 0.17529153274904283 root_mean_prior_squared_error 0.49674696272345925 root_mean_squared_error 0.21333197129389878 root_relative_squared_error 0.429458028538891 total_cost 0 unweighted_recall 0.9349806376539087 [0.923234,0.946727] area_under_roc_curve 0.984731977206467 [0.984732,0.984732] area_under_roc_curve 0.9894364564007421 [0.989436,0.989436] area_under_roc_curve 0.9883265968725153 [0.988327,0.988327] area_under_roc_curve 0.9884707129605088 [0.988471,0.988471] area_under_roc_curve 0.9819755499602439 [0.981976,0.981976] area_under_roc_curve 0.988604825644703 [0.988605,0.988605] area_under_roc_curve 0.987155737922609 [0.987156,0.987156] area_under_roc_curve 0.9879857308777168 [0.987986,0.987986] area_under_roc_curve 0.9840185830429734 [0.984019,0.984019] area_under_roc_curve 0.984415131906421 [0.984415,0.984415] 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 0.9349005424954792 [0.926531,0.941558] f_measure 0.9385866763951831 [0.931452,0.944262] f_measure 0.9348426417434176 [0.925926,0.941935] f_measure 0.9430553729664297 [0.93591,0.948739] f_measure 0.9304403564079378 [0.922144,0.93704] f_measure 0.9428386519369781 [0.934169,0.949721] f_measure 0.9412386275527891 [0.934277,0.946765] f_measure 0.9446553006298598 [0.936392,0.951239] f_measure 0.9247358836023086 [0.913811,0.93344] f_measure 0.9274658309907452 [0.917012,0.935795] kappa 0.8680890538033394 kappa 0.8757286943647636 kappa 0.8678684259431332 kappa 0.8846501494889564 kappa 0.8591930742343926 kappa 0.8839326354119253 kappa 0.8810539128418716 kappa 0.8876723742865474 kappa 0.8472880156516672 kappa 0.8528383552522059 kb_relative_information_score 0.8166934550971745 kb_relative_information_score 0.8405725237606723 kb_relative_information_score 0.8381207919179207 kb_relative_information_score 0.8530532054677051 kb_relative_information_score 0.8101953630738404 kb_relative_information_score 0.8384887565603593 kb_relative_information_score 0.8399380148973397 kb_relative_information_score 0.8546563015464844 kb_relative_information_score 0.8235703263955765 kb_relative_information_score 0.8231339622801004 mean_absolute_error 0.09590891204471977 mean_absolute_error 0.08314017564055592 mean_absolute_error 0.08395559348697605 mean_absolute_error 0.07658384572505307 mean_absolute_error 0.09850084544410706 mean_absolute_error 0.08458881389359946 mean_absolute_error 0.0840912276840118 mean_absolute_error 0.07623248588530296 mean_absolute_error 0.09092433225987116 mean_absolute_error 0.09116097272180157 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4935140463169444 mean_prior_absolute_error 0.4934566542682659 mean_prior_absolute_error 0.4934566542682659 mean_prior_absolute_error 0.4935596990829386 mean_prior_absolute_error 0.4935596990829386 mean_prior_absolute_error 0.4935596990829386 number_of_instances 1106 [490,616] number_of_instances 1106 [490,616] number_of_instances 1106 [490,616] number_of_instances 1106 [490,616] number_of_instances 1106 [490,616] number_of_instances 1105 [489,616] number_of_instances 1105 [489,616] number_of_instances 1105 [490,615] number_of_instances 1105 [490,615] number_of_instances 1105 [490,615] precision 0.9349005424954792 [0.926531,0.941558] precision 0.9388787377107382 [0.920319,0.953642] precision 0.934883996546899 [0.93361,0.935897] precision 0.9430867924373405 [0.933063,0.95106] precision 0.9306251649964371 [0.913828,0.943987] precision 0.9433867037939435 [0.955128,0.934066] precision 0.941488770053476 [0.924,0.955372] precision 0.9452110870559692 [0.957356,0.935535] precision 0.9250306698617493 [0.930233,0.920886] precision 0.9277257438126794 [0.932489,0.92393] predictive_accuracy 0.9349005424954793 predictive_accuracy 0.9385171790235082 predictive_accuracy 0.9349005424954793 predictive_accuracy 0.9430379746835443 predictive_accuracy 0.9303797468354431 predictive_accuracy 0.9429864253393666 predictive_accuracy 0.9411764705882354 predictive_accuracy 0.9447963800904978 predictive_accuracy 0.9248868778280542 predictive_accuracy 0.927601809954751 prior_entropy 0.9906174999681369 prior_entropy 0.9906174999681369 prior_entropy 0.9906174999681369 prior_entropy 0.9906174999681369 prior_entropy 0.9906174999681369 prior_entropy 0.9904511802323728 prior_entropy 0.9904511802323728 prior_entropy 0.9907497997579492 prior_entropy 0.9907497997579492 prior_entropy 0.9907497997579492 relative_absolute_error 0.19433876859327562 relative_absolute_error 0.16846567237756324 relative_absolute_error 0.17011794114783538 relative_absolute_error 0.15518068086732717 relative_absolute_error 0.19959076378719295 relative_absolute_error 0.1714209610143651 relative_absolute_error 0.17041259238606984 relative_absolute_error 0.15445443788653562 relative_absolute_error 0.18422154894091564 relative_absolute_error 0.18470100555451294 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4967447317866721 root_mean_prior_squared_error 0.4966869602769276 root_mean_prior_squared_error 0.4966869602769276 root_mean_prior_squared_error 0.4967906815992094 root_mean_prior_squared_error 0.4967906815992094 root_mean_prior_squared_error 0.4967906815992094 root_mean_squared_error 0.2218013071031574 root_mean_squared_error 0.20886592006571555 root_mean_squared_error 0.2093764999786227 root_mean_squared_error 0.20043854472340342 root_mean_squared_error 0.23157494363482173 root_mean_squared_error 0.2062299190259518 root_mean_squared_error 0.20588662659753482 root_mean_squared_error 0.20009180119980155 root_mean_squared_error 0.22211971021846255 root_mean_squared_error 0.2243809573436593 root_relative_squared_error 0.44650963142657013 root_relative_squared_error 0.4204693209618444 root_relative_squared_error 0.42149717265353864 root_relative_squared_error 0.40350411770342054 root_relative_squared_error 0.46618500170480315 root_relative_squared_error 0.4152110595191958 root_relative_squared_error 0.4145198949510227 root_relative_squared_error 0.40276882922942486 root_relative_squared_error 0.4471092523383113 root_relative_squared_error 0.451660962362174 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 0.9340445269016697 [0.926531,0.941558] unweighted_recall 0.938961038961039 [0.942857,0.935065] unweighted_recall 0.9332096474953617 [0.918367,0.948052] unweighted_recall 0.9426020408163265 [0.938776,0.946429] unweighted_recall 0.9304035250463822 [0.930612,0.930195] unweighted_recall 0.9400097601784718 [0.91411,0.965909] unweighted_recall 0.941548482192654 [0.944785,0.938312] unweighted_recall 0.9419031027044964 [0.916327,0.96748] unweighted_recall 0.9221503235440518 [0.897959,0.946341] unweighted_recall 0.9250041480006637 [0.902041,0.947967] usercpu_time_millis 570.0579999975162 usercpu_time_millis 559.3040000094334 usercpu_time_millis 566.3999999815132 usercpu_time_millis 566.9699999998556 usercpu_time_millis 565.7139999821084 usercpu_time_millis 562.6159999956144 usercpu_time_millis 510.88000000163447 usercpu_time_millis 509.58200001332443 usercpu_time_millis 503.64199999603443 usercpu_time_millis 511.7539999919245 usercpu_time_millis_testing 9.453999999095686 usercpu_time_millis_testing 8.90600000275299 usercpu_time_millis_testing 9.425999989616685 usercpu_time_millis_testing 10.036000006948598 usercpu_time_millis_testing 9.481999994022772 usercpu_time_millis_testing 13.349999993806705 usercpu_time_millis_testing 9.749999997438863 usercpu_time_millis_testing 9.512000004178844 usercpu_time_millis_testing 9.376000001793727 usercpu_time_millis_testing 10.51999999617692 usercpu_time_millis_training 560.6039999984205 usercpu_time_millis_training 550.3980000066804 usercpu_time_millis_training 556.9739999918966 usercpu_time_millis_training 556.933999992907 usercpu_time_millis_training 556.2319999880856 usercpu_time_millis_training 549.2660000018077 usercpu_time_millis_training 501.1300000041956 usercpu_time_millis_training 500.0700000091456 usercpu_time_millis_training 494.2659999942407 usercpu_time_millis_training 501.2339999957476 wall_clock_time_millis 287.37401962280273 wall_clock_time_millis 283.48588943481445 wall_clock_time_millis 286.73815727233887 wall_clock_time_millis 285.42208671569824 wall_clock_time_millis 285.08567810058594 wall_clock_time_millis 284.45982933044434 wall_clock_time_millis 257.17806816101074 wall_clock_time_millis 256.48999214172363 wall_clock_time_millis 253.3583641052246 wall_clock_time_millis 257.5502395629883 wall_clock_time_millis_testing 4.780054092407227 wall_clock_time_millis_testing 4.466772079467773 wall_clock_time_millis_testing 4.7740936279296875 wall_clock_time_millis_testing 5.077123641967773 wall_clock_time_millis_testing 4.791975021362305 wall_clock_time_millis_testing 6.725788116455078 wall_clock_time_millis_testing 4.918098449707031 wall_clock_time_millis_testing 4.832983016967773 wall_clock_time_millis_testing 4.754304885864258 wall_clock_time_millis_testing 5.342006683349609 wall_clock_time_millis_training 282.5939655303955 wall_clock_time_millis_training 279.0191173553467 wall_clock_time_millis_training 281.9640636444092 wall_clock_time_millis_training 280.34496307373047 wall_clock_time_millis_training 280.29370307922363 wall_clock_time_millis_training 277.73404121398926 wall_clock_time_millis_training 252.2599697113037 wall_clock_time_millis_training 251.65700912475586 wall_clock_time_millis_training 248.60405921936035 wall_clock_time_millis_training 252.20823287963867 weighted_recall 0.9349005424954792 [0.926531,0.941558] weighted_recall 0.9385171790235082 [0.942857,0.935065] weighted_recall 0.9349005424954792 [0.918367,0.948052] weighted_recall 0.9430379746835443 [0.938776,0.946429] weighted_recall 0.930379746835443 [0.930612,0.930195] weighted_recall 0.9429864253393665 [0.91411,0.965909] weighted_recall 0.9411764705882353 [0.944785,0.938312] weighted_recall 0.9447963800904977 [0.916327,0.96748] weighted_recall 0.9248868778280543 [0.897959,0.946341] weighted_recall 0.9276018099547512 [0.902041,0.947967]