10558847 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) 8275983 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 12740.8111607 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 920 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 22042658 description https://api.openml.org/data/download/22042658/description.xml -1 22042659 predictions https://api.openml.org/data/download/22042659/predictions.arff area_under_roc_curve 0.9867605635390752 [0.986761,0.986761] average_cost 0 f_measure 0.9395139175426137 [0.931177,0.946146] kappa 0.8773312492809464 kb_relative_information_score 0.8343781518830704 mean_absolute_error 0.0865947302770579 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 0.17546479582520402 root_mean_prior_squared_error 0.49674696272345925 root_mean_squared_error 0.21099183357665208 root_relative_squared_error 0.42474710347471606 total_cost 0 unweighted_recall 0.9378415170534615 [0.922621,0.953062] area_under_roc_curve 0.9852951895043732 [0.985295,0.985295] area_under_roc_curve 0.9894530214683276 [0.989453,0.989453] area_under_roc_curve 0.9883994831698913 [0.988399,0.988399] area_under_roc_curve 0.9885568513119533 [0.988557,0.988557] area_under_roc_curve 0.9819324807845216 [0.981932,0.981932] area_under_roc_curve 0.988604825644703 [0.988605,0.988605] area_under_roc_curve 0.9872354128489099 [0.987235,0.987235] area_under_roc_curve 0.9878098556495769 [0.98781,0.98781] area_under_roc_curve 0.9852762568442011 [0.985276,0.985276] area_under_roc_curve 0.9849693047950888 [0.984969,0.984969] 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 0.824165897729625 kb_relative_information_score 0.8418977412894764 kb_relative_information_score 0.8363877573700533 kb_relative_information_score 0.8531718863816828 kb_relative_information_score 0.8130896742870047 kb_relative_information_score 0.834945450756276 kb_relative_information_score 0.8390120839245069 kb_relative_information_score 0.8501137416683849 kb_relative_information_score 0.8267244294524416 kb_relative_information_score 0.8242768747703637 mean_absolute_error 0.09184330143910151 mean_absolute_error 0.08252489131508611 mean_absolute_error 0.08508814464252538 mean_absolute_error 0.07683981457340527 mean_absolute_error 0.09642095024457305 mean_absolute_error 0.08674696713209337 mean_absolute_error 0.08504009926646368 mean_absolute_error 0.07918938020851207 mean_absolute_error 0.09066525832742445 mean_absolute_error 0.0915887277925908 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 0.18610068370803357 relative_absolute_error 0.167218931114449 relative_absolute_error 0.17241281231513336 relative_absolute_error 0.1556993466484989 relative_absolute_error 0.19537630380361987 relative_absolute_error 0.17579450268175673 relative_absolute_error 0.172335500050288 relative_absolute_error 0.16044539364873256 relative_absolute_error 0.1836966399320802 relative_absolute_error 0.18556767897129312 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 0.21763670861107584 root_mean_squared_error 0.20530267911584635 root_mean_squared_error 0.20948982127513202 root_mean_squared_error 0.19851823259466939 root_mean_squared_error 0.22920856580331267 root_mean_squared_error 0.20608171947640475 root_mean_squared_error 0.20415652555459218 root_mean_squared_error 0.20102964274553875 root_mean_squared_error 0.21614689276287533 root_mean_squared_error 0.220327291298139 root_relative_squared_error 0.4381258515380497 root_relative_squared_error 0.41329613779178226 root_relative_squared_error 0.42172530048108847 root_relative_squared_error 0.3996383250621436 root_relative_squared_error 0.4614212313413053 root_relative_squared_error 0.41491268335593906 root_relative_squared_error 0.41103661235794225 root_relative_squared_error 0.4046566294247067 root_relative_squared_error 0.43508644740895897 root_relative_squared_error 0.44350125608010116 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 385.1919999997335 usercpu_time_millis 388.34200000201236 usercpu_time_millis 429.1579999990063 usercpu_time_millis 396.7659999998432 usercpu_time_millis 469.4759999983944 usercpu_time_millis 438.3979999984149 usercpu_time_millis 495.40199999864853 usercpu_time_millis 453.8140000004205 usercpu_time_millis 550.4999999993743 usercpu_time_millis 536.1339999981283 usercpu_time_millis_testing 14.815999998972984 usercpu_time_millis_testing 13.898000001063338 usercpu_time_millis_testing 16.834000000017113 usercpu_time_millis_testing 12.81600000038452 usercpu_time_millis_testing 15.201999998680549 usercpu_time_millis_testing 14.585999999326305 usercpu_time_millis_testing 30.715999999301857 usercpu_time_millis_testing 15.7679999992979 usercpu_time_millis_testing 25.92199999889999 usercpu_time_millis_testing 21.00799999971059 usercpu_time_millis_training 370.37600000076054 usercpu_time_millis_training 374.444000000949 usercpu_time_millis_training 412.32399999898917 usercpu_time_millis_training 383.94999999945867 usercpu_time_millis_training 454.27399999971385 usercpu_time_millis_training 423.8119999990886 usercpu_time_millis_training 464.6859999993467 usercpu_time_millis_training 438.0460000011226 usercpu_time_millis_training 524.5780000004743 usercpu_time_millis_training 515.1259999984177 wall_clock_time_millis 235.1219654083252 wall_clock_time_millis 221.0831642150879 wall_clock_time_millis 276.98516845703125 wall_clock_time_millis 220.27063369750977 wall_clock_time_millis 289.9782657623291 wall_clock_time_millis 251.89566612243652 wall_clock_time_millis 321.31099700927734 wall_clock_time_millis 248.45504760742188 wall_clock_time_millis 465.50679206848145 wall_clock_time_millis 397.2289562225342 wall_clock_time_millis_testing 8.597135543823242 wall_clock_time_millis_testing 7.140159606933594 wall_clock_time_millis_testing 10.12420654296875 wall_clock_time_millis_testing 6.441831588745117 wall_clock_time_millis_testing 8.271932601928711 wall_clock_time_millis_testing 7.950782775878906 wall_clock_time_millis_testing 19.78611946105957 wall_clock_time_millis_testing 8.062124252319336 wall_clock_time_millis_testing 39.63184356689453 wall_clock_time_millis_testing 14.405012130737305 wall_clock_time_millis_training 226.52482986450195 wall_clock_time_millis_training 213.9430046081543 wall_clock_time_millis_training 266.8609619140625 wall_clock_time_millis_training 213.82880210876465 wall_clock_time_millis_training 281.7063331604004 wall_clock_time_millis_training 243.94488334655762 wall_clock_time_millis_training 301.5248775482178 wall_clock_time_millis_training 240.39292335510254 wall_clock_time_millis_training 425.8749485015869 wall_clock_time_millis_training 382.8239440917969 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]