10556772 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) 8275679 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 25.0 17462 class_weight null 17462 dual false 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 22038501 description https://api.openml.org/data/download/22038501/description.xml -1 22038502 predictions https://api.openml.org/data/download/22038502/predictions.arff area_under_roc_curve 0.9867590050278898 [0.986759,0.986759] average_cost 0 f_measure 0.9395139175426137 [0.931177,0.946146] kappa 0.8773312492809464 kb_relative_information_score 0.834259972606286 mean_absolute_error 0.0866731573060929 mean_prior_absolute_error 0.4935162627341074 weighted_recall 0.9395748530076888 [0.922621,0.953062] number_of_instances 11055 [4898,6157] precision 0.9395794199121661 [0.939892,0.939331] predictive_accuracy 0.9395748530076888 prior_entropy 0.990623923051704 relative_absolute_error 0.17562371060665524 root_mean_prior_squared_error 0.49674696272345925 root_mean_squared_error 0.2109699589354639 root_relative_squared_error 0.4247030676922561 total_cost 0 unweighted_recall 0.9378415170534615 [0.922621,0.953062] area_under_roc_curve 0.9853051285449245 [0.985305,0.985305] area_under_roc_curve 0.9894497084548106 [0.98945,0.98945] area_under_roc_curve 0.988386231115823 [0.988386,0.988386] area_under_roc_curve 0.9885502252849192 [0.98855,0.98855] area_under_roc_curve 0.9819192287304532 [0.981919,0.981919] area_under_roc_curve 0.9886247443762781 [0.988625,0.988625] area_under_roc_curve 0.9872387326375055 [0.987239,0.987239] area_under_roc_curve 0.987799900447984 [0.9878,0.9878] area_under_roc_curve 0.9852762568442011 [0.985276,0.985276] area_under_roc_curve 0.9849759415961507 [0.984976,0.984976] 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 0.9356918728645213 [0.926425,0.943063] f_measure 0.9430438708315294 [0.93578,0.948822] f_measure 0.9384010687913203 [0.929461,0.945513] f_measure 0.9493099304162063 [0.942268,0.954911] f_measure 0.9257382199446227 [0.915114,0.934189] f_measure 0.9410240059667235 [0.932079,0.948125] f_measure 0.9430261157176654 [0.936041,0.948571] f_measure 0.9483645802105459 [0.941298,0.953995] f_measure 0.938435173244005 [0.930328,0.944895] f_measure 0.932058658171771 [0.92276,0.939467] kappa 0.869512620681633 kappa 0.8846020079296993 kappa 0.8750000000000001 kappa 0.897188008366256 kappa 0.8493278131832348 kappa 0.8802479571710341 kappa 0.8846167233237808 kappa 0.8952998379254457 kappa 0.8752241780139488 kappa 0.8622366288492707 kb_relative_information_score 0.8240589808537105 kb_relative_information_score 0.8417674961818092 kb_relative_information_score 0.8362629774142678 kb_relative_information_score 0.8530301832377123 kb_relative_information_score 0.8129308115341369 kb_relative_information_score 0.8348726022508552 kb_relative_information_score 0.8388881932968312 kb_relative_information_score 0.8500063715079486 kb_relative_information_score 0.8265883323003025 kb_relative_information_score 0.8241978634614334 mean_absolute_error 0.0919146905150904 mean_absolute_error 0.08261017150215842 mean_absolute_error 0.0851667409171362 mean_absolute_error 0.07692754641832887 mean_absolute_error 0.09652570000407115 mean_absolute_error 0.08680609283037799 mean_absolute_error 0.08512300776071158 mean_absolute_error 0.07926012949874263 mean_absolute_error 0.09075351036882423 mean_absolute_error 0.09164418318863601 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 0.935929454320469 [0.941053,0.931854] precision 0.9430513260506552 [0.934827,0.949593] precision 0.9386850397906319 [0.945148,0.933544] precision 0.9494104790984215 [0.952083,0.947284] precision 0.9259192284508739 [0.928571,0.92381] precision 0.941565975502627 [0.952991,0.932496] precision 0.9431421832872791 [0.929435,0.954023] precision 0.9484406308501332 [0.950104,0.947115] precision 0.9384337183655078 [0.934156,0.941842] precision 0.9321161136771998 [0.931393,0.932692] predictive_accuracy 0.9358047016274864 predictive_accuracy 0.9430379746835443 predictive_accuracy 0.9385171790235082 predictive_accuracy 0.949367088607595 predictive_accuracy 0.9258589511754068 predictive_accuracy 0.9411764705882354 predictive_accuracy 0.9429864253393666 predictive_accuracy 0.9484162895927603 predictive_accuracy 0.9384615384615383 predictive_accuracy 0.9321266968325791 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 0.18624533830605702 relative_absolute_error 0.1673917330594164 relative_absolute_error 0.17257207075001965 relative_absolute_error 0.15587711635045234 relative_absolute_error 0.19558855664683644 relative_absolute_error 0.17591432211832367 relative_absolute_error 0.1725035158091814 relative_absolute_error 0.16058873859841546 relative_absolute_error 0.18387544715958234 relative_absolute_error 0.1856800370024457 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 0.2176061396949508 root_mean_squared_error 0.20528764417141562 root_mean_squared_error 0.20948359678366754 root_mean_squared_error 0.19851624046816682 root_mean_squared_error 0.22918984887766897 root_mean_squared_error 0.20602671747371068 root_mean_squared_error 0.20414997479239144 root_mean_squared_error 0.20100589212037256 root_mean_squared_error 0.21614901567763722 root_mean_squared_error 0.2202662672625184 root_relative_squared_error 0.4380643130572789 root_relative_squared_error 0.41326587084888655 root_relative_squared_error 0.42171276991746864 root_relative_squared_error 0.39963431469952654 root_relative_squared_error 0.46138355217845556 root_relative_squared_error 0.4148019455933383 root_relative_squared_error 0.4110234234427409 root_relative_squared_error 0.4046088213114592 root_relative_squared_error 0.435090720666974 root_relative_squared_error 0.4433784195658893 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 0.9333951762523192 [0.912245,0.954545] unweighted_recall 0.9423933209647495 [0.936735,0.948052] unweighted_recall 0.936038961038961 [0.914286,0.957792] unweighted_recall 0.9476576994434137 [0.932653,0.962662] unweighted_recall 0.9234230055658628 [0.902041,0.944805] unweighted_recall 0.9381755769792579 [0.912065,0.964286] unweighted_recall 0.9429610522401934 [0.94274,0.943182] unweighted_recall 0.9468143354902936 [0.932653,0.960976] unweighted_recall 0.9372490459598474 [0.926531,0.947967] unweighted_recall 0.9303135888501741 [0.914286,0.946341] usercpu_time_millis 247.08800000371411 usercpu_time_millis 233.167999991565 usercpu_time_millis 254.73599998804275 usercpu_time_millis 238.62600000575185 usercpu_time_millis 269.37600001110695 usercpu_time_millis 269.5780000067316 usercpu_time_millis 219.82399999978952 usercpu_time_millis 224.50400001253 usercpu_time_millis 237.55799999344163 usercpu_time_millis 242.08999998518266 usercpu_time_millis_testing 8.824000004096888 usercpu_time_millis_testing 8.841999995638616 usercpu_time_millis_testing 8.821999988867901 usercpu_time_millis_testing 9.038000003783964 usercpu_time_millis_testing 9.09400000819005 usercpu_time_millis_testing 9.082000004127622 usercpu_time_millis_testing 8.679999999003485 usercpu_time_millis_testing 11.19200000539422 usercpu_time_millis_testing 9.420000002137385 usercpu_time_millis_testing 9.403999996720813 usercpu_time_millis_training 238.26399999961723 usercpu_time_millis_training 224.3259999959264 usercpu_time_millis_training 245.91399999917485 usercpu_time_millis_training 229.58800000196788 usercpu_time_millis_training 260.2820000029169 usercpu_time_millis_training 260.496000002604 usercpu_time_millis_training 211.14400000078604 usercpu_time_millis_training 213.3120000071358 usercpu_time_millis_training 228.13799999130424 usercpu_time_millis_training 232.68599998846184 wall_clock_time_millis 125.8401870727539 wall_clock_time_millis 118.35598945617676 wall_clock_time_millis 130.0051212310791 wall_clock_time_millis 121.35815620422363 wall_clock_time_millis 138.55934143066406 wall_clock_time_millis 136.36302947998047 wall_clock_time_millis 111.37795448303223 wall_clock_time_millis 113.81340026855469 wall_clock_time_millis 120.78404426574707 wall_clock_time_millis 122.74432182312012 wall_clock_time_millis_testing 4.438161849975586 wall_clock_time_millis_testing 4.433870315551758 wall_clock_time_millis_testing 4.426002502441406 wall_clock_time_millis_testing 4.605293273925781 wall_clock_time_millis_testing 4.563331604003906 wall_clock_time_millis_testing 4.555940628051758 wall_clock_time_millis_testing 4.353046417236328 wall_clock_time_millis_testing 5.766153335571289 wall_clock_time_millis_testing 4.729032516479492 wall_clock_time_millis_testing 4.750251770019531 wall_clock_time_millis_training 121.40202522277832 wall_clock_time_millis_training 113.922119140625 wall_clock_time_millis_training 125.5791187286377 wall_clock_time_millis_training 116.75286293029785 wall_clock_time_millis_training 133.99600982666016 wall_clock_time_millis_training 131.8070888519287 wall_clock_time_millis_training 107.0249080657959 wall_clock_time_millis_training 108.0472469329834 wall_clock_time_millis_training 116.05501174926758 wall_clock_time_millis_training 117.99407005310059 weighted_recall 0.9358047016274864 [0.912245,0.954545] weighted_recall 0.9430379746835443 [0.936735,0.948052] weighted_recall 0.9385171790235082 [0.914286,0.957792] weighted_recall 0.9493670886075949 [0.932653,0.962662] weighted_recall 0.9258589511754068 [0.902041,0.944805] weighted_recall 0.9411764705882353 [0.912065,0.964286] weighted_recall 0.9429864253393665 [0.94274,0.943182] weighted_recall 0.9484162895927601 [0.932653,0.960976] weighted_recall 0.9384615384615385 [0.926531,0.947967] weighted_recall 0.9321266968325792 [0.914286,0.946341]