10554621 8323 Heinrich Peters 9977 Supervised Classification 18607 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275824 copy true 17405 with_mean true 17405 with_std true 17405 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 n_jobs null 18299 remainder "drop" 18299 sparse_threshold 0.3 18299 transformer_weights null 18299 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false]}}] 18299 verbose false 18299 memory null 18300 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 18300 verbose false 18300 memory null 18301 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 18301 verbose false 18301 memory null 18607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}] 18607 verbose false 18607 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 22034197 description https://api.openml.org/data/download/22034197/description.xml -1 22034198 predictions https://api.openml.org/data/download/22034198/predictions.arff area_under_roc_curve 0.987023371838403 [0.987023,0.987023] average_cost 0 f_measure 0.947737175097318 [0.909082,0.963192] kappa 0.872278249842512 kb_relative_information_score 0.8321644299428462 mean_absolute_error 0.06731666405062112 mean_prior_absolute_error 0.4080904194746198 weighted_recall 0.9475990134919483 [0.917208,0.95975] number_of_instances 34465 [9844,24621] precision 0.9479338145883577 [0.901098,0.96666] predictive_accuracy 0.9475990134919483 prior_entropy 0.8629999933345911 relative_absolute_error 0.16495526686778222 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.19761841949546194 root_relative_squared_error 0.4374889192619877 total_cost 0 unweighted_recall 0.9384791294620514 [0.917208,0.95975] area_under_roc_curve 0.9865109308827559 [0.986511,0.986511] area_under_roc_curve 0.9864300824306101 [0.98643,0.98643] area_under_roc_curve 0.9853723810034348 [0.985372,0.985372] area_under_roc_curve 0.987663861249366 [0.987664,0.987664] area_under_roc_curve 0.9879652958471302 [0.987965,0.987965] area_under_roc_curve 0.9880504811343809 [0.98805,0.98805] area_under_roc_curve 0.9866660227325261 [0.986666,0.986666] area_under_roc_curve 0.9896776531737697 [0.989678,0.989678] area_under_roc_curve 0.9864034957368257 [0.986403,0.986403] area_under_roc_curve 0.9863205272995054 [0.986321,0.986321] 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 0.9466070192735956 [0.907639,0.962175] f_measure 0.9496423811321452 [0.912387,0.964548] f_measure 0.9426795206413154 [0.900202,0.959674] f_measure 0.9534386747243855 [0.917949,0.967638] f_measure 0.9485158513823604 [0.90937,0.964177] f_measure 0.9424667329452736 [0.900151,0.959379] f_measure 0.9467411357274201 [0.908552,0.962005] f_measure 0.9521242822809113 [0.917413,0.965998] f_measure 0.948308806660929 [0.910545,0.963402] f_measure 0.9468378622881104 [0.90668,0.962888] kappa 0.8698302431807312 kappa 0.8769376162857023 kappa 0.8598785665980541 kappa 0.8855910052690535 kappa 0.8735512787378984 kappa 0.8595389833119151 kappa 0.8705959152389137 kappa 0.8834314322440971 kappa 0.8739609194134029 kappa 0.8695687784780151 kb_relative_information_score 0.8323150294979069 kb_relative_information_score 0.8329798779129777 kb_relative_information_score 0.8221808019982239 kb_relative_information_score 0.8380284313000341 kb_relative_information_score 0.8331435592972349 kb_relative_information_score 0.8285119515518441 kb_relative_information_score 0.8262218303823582 kb_relative_information_score 0.8414401725263939 kb_relative_information_score 0.8360099202159907 kb_relative_information_score 0.8308141136644634 mean_absolute_error 0.06692404843495048 mean_absolute_error 0.06762247140909156 mean_absolute_error 0.07117640137185166 mean_absolute_error 0.06599376654736404 mean_absolute_error 0.06703907499851154 mean_absolute_error 0.06838886515820156 mean_absolute_error 0.06885865812028205 mean_absolute_error 0.0635561566493909 mean_absolute_error 0.06547005365795676 mean_absolute_error 0.06813651373420868 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9471125840432767 [0.892051,0.96911] precision 0.9498119290565635 [0.905095,0.967702] precision 0.9428370588032015 [0.893894,0.962418] precision 0.9533723366386466 [0.927461,0.963739] precision 0.9484363878439076 [0.917355,0.960871] precision 0.9427981816627017 [0.888999,0.9643] precision 0.9477269328032369 [0.884504,0.972995] precision 0.9527513862111634 [0.898635,0.97438] precision 0.9487660365248654 [0.895772,0.969946] precision 0.946790144596163 [0.909928,0.961523] predictive_accuracy 0.9463301421525965 predictive_accuracy 0.9495213228894691 predictive_accuracy 0.9425587467362924 predictive_accuracy 0.9535828256454889 predictive_accuracy 0.9486510008703221 predictive_accuracy 0.9422518862449216 predictive_accuracy 0.9463145676146256 predictive_accuracy 0.9518282066163668 predictive_accuracy 0.9480557167730703 predictive_accuracy 0.9468949506674404 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 relative_absolute_error 0.1640203220309476 relative_absolute_error 0.16568154232823404 relative_absolute_error 0.17438901168401175 relative_absolute_error 0.16169105916685955 relative_absolute_error 0.16425216515405616 relative_absolute_error 0.16759576940840915 relative_absolute_error 0.16874705789317052 relative_absolute_error 0.15575259144388118 relative_absolute_error 0.16044284388449473 relative_absolute_error 0.1669773495681682 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.1987447974081567 root_mean_squared_error 0.19745186934638334 root_mean_squared_error 0.206587919621724 root_mean_squared_error 0.19270056097581917 root_mean_squared_error 0.1989830323342415 root_mean_squared_error 0.19633326477829138 root_mean_squared_error 0.20089476230532757 root_mean_squared_error 0.18976057577506744 root_mean_squared_error 0.19536010325580075 root_mean_squared_error 0.19888809697319296 root_relative_squared_error 0.44005531054228264 root_relative_squared_error 0.4370593124418168 root_relative_squared_error 0.45728194120188925 root_relative_squared_error 0.42654230099739787 root_relative_squared_error 0.44044853861083155 root_relative_squared_error 0.43467791972198816 root_relative_squared_error 0.44477698397433557 root_relative_squared_error 0.4201261177839558 root_relative_squared_error 0.43252335958350435 root_relative_squared_error 0.44033426708101897 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 0.939559752631631 [0.92378,0.955339] unweighted_recall 0.9406052196431444 [0.919797,0.961413] unweighted_recall 0.9317722787383458 [0.906599,0.956946] unweighted_recall 0.9400986363280235 [0.908629,0.971568] unweighted_recall 0.934514467623615 [0.901523,0.967506] unweighted_recall 0.9330469477521746 [0.911585,0.954509] unweighted_recall 0.9426011141711742 [0.933943,0.951259] unweighted_recall 0.9473748951543131 [0.936992,0.957758] unweighted_recall 0.9413792904175995 [0.925813,0.956946] unweighted_recall 0.9338559932106225 [0.903455,0.964257] usercpu_time_millis 4219.856000003347 usercpu_time_millis 4232.841999997618 usercpu_time_millis 4164.671999998973 usercpu_time_millis 4012.1839999992517 usercpu_time_millis 4081.2220000007073 usercpu_time_millis 3991.307999996934 usercpu_time_millis 4042.7740000086487 usercpu_time_millis 4014.1080000030342 usercpu_time_millis 4055.549999997311 usercpu_time_millis 4126.706000010017 usercpu_time_millis_testing 35.156000005372334 usercpu_time_millis_testing 34.923999999591615 usercpu_time_millis_testing 32.778000000689644 usercpu_time_millis_testing 32.134000000951346 usercpu_time_millis_testing 43.14200000226265 usercpu_time_millis_testing 34.87199999653967 usercpu_time_millis_testing 35.56800000660587 usercpu_time_millis_testing 33.98800000286428 usercpu_time_millis_testing 33.42200000042794 usercpu_time_millis_testing 31.176000004052185 usercpu_time_millis_training 4184.699999997974 usercpu_time_millis_training 4197.917999998026 usercpu_time_millis_training 4131.893999998283 usercpu_time_millis_training 3980.0499999983003 usercpu_time_millis_training 4038.0799999984447 usercpu_time_millis_training 3956.4360000003944 usercpu_time_millis_training 4007.206000002043 usercpu_time_millis_training 3980.12000000017 usercpu_time_millis_training 4022.127999996883 usercpu_time_millis_training 4095.530000005965 wall_clock_time_millis 2201.2062072753906 wall_clock_time_millis 2203.199625015259 wall_clock_time_millis 2166.5079593658447 wall_clock_time_millis 2083.8191509246826 wall_clock_time_millis 2118.967056274414 wall_clock_time_millis 2074.9638080596924 wall_clock_time_millis 2099.886417388916 wall_clock_time_millis 2089.9977684020996 wall_clock_time_millis 2107.496976852417 wall_clock_time_millis 2144.0582275390625 wall_clock_time_millis_testing 25.677919387817383 wall_clock_time_millis_testing 25.064945220947266 wall_clock_time_millis_testing 22.979021072387695 wall_clock_time_millis_testing 22.584199905395508 wall_clock_time_millis_testing 28.701066970825195 wall_clock_time_millis_testing 24.374961853027344 wall_clock_time_millis_testing 24.98030662536621 wall_clock_time_millis_testing 23.665904998779297 wall_clock_time_millis_testing 23.37789535522461 wall_clock_time_millis_testing 21.80314064025879 wall_clock_time_millis_training 2175.5282878875732 wall_clock_time_millis_training 2178.1346797943115 wall_clock_time_millis_training 2143.528938293457 wall_clock_time_millis_training 2061.234951019287 wall_clock_time_millis_training 2090.265989303589 wall_clock_time_millis_training 2050.588846206665 wall_clock_time_millis_training 2074.90611076355 wall_clock_time_millis_training 2066.3318634033203 wall_clock_time_millis_training 2084.1190814971924 wall_clock_time_millis_training 2122.2550868988037 weighted_recall 0.9463301421525965 [0.92378,0.955339] weighted_recall 0.9495213228894691 [0.919797,0.961413] weighted_recall 0.9425587467362925 [0.906599,0.956946] weighted_recall 0.9535828256454888 [0.908629,0.971568] weighted_recall 0.9486510008703221 [0.901523,0.967506] weighted_recall 0.9422518862449216 [0.911585,0.954509] weighted_recall 0.9463145676146256 [0.933943,0.951259] weighted_recall 0.9518282066163668 [0.936992,0.957758] weighted_recall 0.9480557167730702 [0.925813,0.956946] weighted_recall 0.9468949506674406 [0.903455,0.964257]