10330425 8323 Heinrich Peters 14970 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186034 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 10.452693667466372 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5864644897807998 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 3.116722283916533e-05 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 18363 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 1478 har https://www.openml.org/data/download/1589271/php88ZB4Q -1 21582547 description https://api.openml.org/data/download/21582547/description.xml -1 21582548 predictions https://api.openml.org/data/download/21582548/predictions.arff area_under_roc_curve 0.9758707942243532 [0.99355,0.987429,0.984725,0.941912,0.952109,0.998965] average_cost 0 f_measure 0.9600286058615224 [0.989829,0.97426,0.977127,0.908627,0.919781,0.99641] kappa 0.9519911906458378 kb_relative_information_score 0.9563157861805394 mean_absolute_error 0.013302262355568455 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9600145434901434 [0.990692,0.968031,0.98204,0.916428,0.916189,0.993354] predictive_accuracy 0.9600932129332945 prior_entropy 2.575922879508845 recall 0.9600932129332945 [0.988966,0.98057,0.972262,0.900957,0.9234,0.999486] relative_absolute_error 0.048006215099301676 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.11533543408496998 root_relative_squared_error 0.30985894860250685 total_cost 0 area_under_roc_curve 0.9795100639066676 [0.988372,0.99012,0.983467,0.951997,0.966671,0.998206] area_under_roc_curve 0.9746603524706361 [0.99651,0.997143,0.985714,0.933844,0.94477,0.996227] area_under_roc_curve 0.9718655334570316 [0.998252,0.977217,0.976886,0.943319,0.938109,1] area_under_roc_curve 0.9740651705508642 [0.997093,0.989751,0.994204,0.917115,0.95235,1] area_under_roc_curve 0.973742426734446 [0.988439,0.985516,0.970506,0.946253,0.953383,0.998804] area_under_roc_curve 0.9789016890062489 [0.984966,0.987977,0.994204,0.948601,0.962124,0.999402] area_under_roc_curve 0.9776312604361332 [0.997669,0.989118,0.985253,0.946253,0.952193,0.998802] area_under_roc_curve 0.9777053780150647 [0.993603,0.993329,0.981707,0.951073,0.950368,0.999401] area_under_roc_curve 0.9770079891882436 [0.995928,0.991794,0.988799,0.933644,0.956667,0.999401] area_under_roc_curve 0.973623720894803 [0.994759,0.972312,0.986474,0.947064,0.944526,0.9994] 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 0.9659399649924842 [0.988235,0.974522,0.971429,0.928775,0.942708,0.992327] f_measure 0.9581582729937267 [0.994186,0.984127,0.985507,0.895184,0.908616,0.992288] f_measure 0.953372578298196 [0.991354,0.96129,0.967509,0.9,0.904762,1] f_measure 0.9571792292414135 [0.997085,0.987013,0.982456,0.88563,0.901266,1] f_measure 0.9563319919539368 [0.988304,0.95,0.963768,0.912676,0.928382,0.994872] f_measure 0.9649970381091452 [0.982456,0.977346,0.982456,0.923077,0.932292,0.997429] f_measure 0.9630205290841057 [0.988506,0.983713,0.982079,0.912676,0.923483,0.994898] f_measure 0.963086548162494 [0.991254,0.977636,0.978417,0.91573,0.923483,0.997442] f_measure 0.9620361182957893 [0.991304,0.983819,0.985714,0.904348,0.917949,0.997442] f_measure 0.956200044330926 [0.985591,0.963696,0.971631,0.907563,0.915344,0.997442] kappa 0.9591216078305084 kappa 0.949774558188482 kappa 0.9439357892421125 kappa 0.9486091471635809 kappa 0.9474492179173791 kappa 0.9579594219987415 kappa 0.9556123600411441 kappa 0.955617242372493 kappa 0.9544408025314445 kappa 0.9473877366444045 kb_relative_information_score 0.9626572418832231 kb_relative_information_score 0.9546003243344426 kb_relative_information_score 0.9487943533372125 kb_relative_information_score 0.9534896272308138 kb_relative_information_score 0.9518102178635854 kb_relative_information_score 0.9618695993853668 kb_relative_information_score 0.9596250746557322 kb_relative_information_score 0.9596454976871263 kb_relative_information_score 0.9586279051625993 kb_relative_information_score 0.9520336042135413 mean_absolute_error 0.01132686084142395 mean_absolute_error 0.013915857605178002 mean_absolute_error 0.015533980582524282 mean_absolute_error 0.014239482200647257 mean_absolute_error 0.014563106796116514 mean_absolute_error 0.011650485436893208 mean_absolute_error 0.01229773462783172 mean_absolute_error 0.01229773462783172 mean_absolute_error 0.012621359223300975 mean_absolute_error 0.014577259475218667 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.2771076974290587 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27709513558158777 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.27708065643484137 number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [172,154,141,178,190,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1029 [172,154,140,177,191,195] precision 0.9660504501611455 [1,0.962264,0.971429,0.942197,0.937824,0.984772] precision 0.9582221629503183 [0.994186,0.96875,1,0.902857,0.90625,0.989744] precision 0.9534786889233274 [0.982857,0.96129,0.978102,0.89011,0.914439,1] precision 0.9581957055490082 [1,0.993464,0.972222,0.92638,0.868293,1] precision 0.9569575809082056 [1,0.915663,0.985185,0.915254,0.935829,0.989796] precision 0.9651281151712545 [0.994083,0.974194,0.972222,0.936416,0.92268,0.994872] precision 0.9630267794143605 [0.977273,0.986928,0.992754,0.915254,0.925926,0.989848] precision 0.9632330683434963 [0.994152,0.962264,0.992701,0.910615,0.930851,0.994898] precision 0.9623133903316547 [0.988439,0.980645,0.992806,0.928571,0.899497,0.994898] precision 0.9563109422964216 [0.977143,0.979866,0.964789,0.9,0.925134,0.994898] predictive_accuracy 0.9660194174757281 predictive_accuracy 0.958252427184466 predictive_accuracy 0.9533980582524272 predictive_accuracy 0.9572815533980582 predictive_accuracy 0.9563106796116504 predictive_accuracy 0.9650485436893205 predictive_accuracy 0.9631067961165048 predictive_accuracy 0.9631067961165048 predictive_accuracy 0.962135922330097 predictive_accuracy 0.956268221574344 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.57626843373114 prior_entropy 2.5761156998831467 prior_entropy 2.5761156998831467 prior_entropy 2.575945945073779 prior_entropy 2.575847838744184 prior_entropy 2.575847838744184 prior_entropy 2.5755594010061413 recall 0.9660194174757282 [0.976744,0.987097,0.971429,0.91573,0.947644,1] recall 0.958252427184466 [0.994186,1,0.971429,0.88764,0.910995,0.994845] recall 0.9533980582524272 [1,0.96129,0.957143,0.910112,0.895288,1] recall 0.9572815533980582 [0.994186,0.980645,0.992908,0.848315,0.936842,1] recall 0.9563106796116505 [0.976879,0.987013,0.943262,0.910112,0.921053,1] recall 0.9650485436893204 [0.971098,0.980519,0.992908,0.910112,0.942105,1] recall 0.9631067961165048 [1,0.980519,0.971631,0.910112,0.921053,1] recall 0.9631067961165048 [0.988372,0.993506,0.964539,0.920904,0.91623,1] recall 0.962135922330097 [0.994186,0.987013,0.978723,0.881356,0.937173,1] recall 0.956268221574344 [0.994186,0.948052,0.978571,0.915254,0.905759,1] relative_absolute_error 0.04087761841164008 relative_absolute_error 0.0502210740485864 relative_absolute_error 0.056060733821677845 relative_absolute_error 0.05138609404487096 relative_absolute_error 0.05255501999748447 relative_absolute_error 0.042044015997987565 relative_absolute_error 0.04438091127807179 relative_absolute_error 0.04438156014688034 relative_absolute_error 0.0455494959402193 relative_absolute_error 0.05261016652256515 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.3722367592572026 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722198854102689 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.3722004351798735 root_mean_squared_error 0.10642772590553624 root_mean_squared_error 0.11796549328162877 root_mean_squared_error 0.12463539056995121 root_mean_squared_error 0.11932930151746995 root_mean_squared_error 0.12067769800636949 root_mean_squared_error 0.1079374144441732 root_mean_squared_error 0.11089515150732118 root_mean_squared_error 0.11089515150732118 root_mean_squared_error 0.11234482285936 root_mean_squared_error 0.12073632210407383 root_relative_squared_error 0.28593026943819355 root_relative_squared_error 0.31692780233191975 root_relative_squared_error 0.33484724496351226 root_relative_squared_error 0.32057366326633413 root_relative_squared_error 0.32420261934703676 root_relative_squared_error 0.28997563813738503 root_relative_squared_error 0.29792914310607055 root_relative_squared_error 0.29793349899311045 root_relative_squared_error 0.3018282198391745 root_relative_squared_error 0.32438522551894794 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 22749.456356992596 usercpu_time_millis 22893.162746011512 usercpu_time_millis 23493.57158401108 usercpu_time_millis 23208.456641994417 usercpu_time_millis 22886.093109002104 usercpu_time_millis 22647.35989397741 usercpu_time_millis 22866.993595001986 usercpu_time_millis 23029.368457006058 usercpu_time_millis 22898.447080006008 usercpu_time_millis 22908.456688004662 usercpu_time_millis_testing 4272.669892990962 usercpu_time_millis_testing 4305.597724000108 usercpu_time_millis_testing 4338.889131002361 usercpu_time_millis_testing 4254.4840589980595 usercpu_time_millis_testing 4219.861928999308 usercpu_time_millis_testing 4236.982335991343 usercpu_time_millis_testing 4297.30605900113 usercpu_time_millis_testing 4319.135728001129 usercpu_time_millis_testing 4351.770559005672 usercpu_time_millis_testing 4274.29239799676 usercpu_time_millis_training 18476.786464001634 usercpu_time_millis_training 18587.565022011404 usercpu_time_millis_training 19154.682453008718 usercpu_time_millis_training 18953.972582996357 usercpu_time_millis_training 18666.231180002796 usercpu_time_millis_training 18410.377557986067 usercpu_time_millis_training 18569.687536000856 usercpu_time_millis_training 18710.23272900493 usercpu_time_millis_training 18546.676521000336 usercpu_time_millis_training 18634.164290007902 wall_clock_time_millis 25415.378093719482 wall_clock_time_millis 25230.65495491028 wall_clock_time_millis 24699.61667060852 wall_clock_time_millis 26214.877605438232 wall_clock_time_millis 23042.9265499115 wall_clock_time_millis 22705.647706985474 wall_clock_time_millis 24310.19639968872 wall_clock_time_millis 24808.775901794434 wall_clock_time_millis 25023.02074432373 wall_clock_time_millis 25472.047090530396 wall_clock_time_millis_testing 5004.608631134033 wall_clock_time_millis_testing 4426.046371459961 wall_clock_time_millis_testing 4695.434093475342 wall_clock_time_millis_testing 5224.093437194824 wall_clock_time_millis_testing 4220.245122909546 wall_clock_time_millis_testing 4277.478456497192 wall_clock_time_millis_testing 4852.298974990845 wall_clock_time_millis_testing 4687.595844268799 wall_clock_time_millis_testing 4860.5639934539795 wall_clock_time_millis_testing 4926.632404327393 wall_clock_time_millis_training 20410.76946258545 wall_clock_time_millis_training 20804.608583450317 wall_clock_time_millis_training 20004.18257713318 wall_clock_time_millis_training 20990.78416824341 wall_clock_time_millis_training 18822.681427001953 wall_clock_time_millis_training 18428.16925048828 wall_clock_time_millis_training 19457.897424697876 wall_clock_time_millis_training 20121.180057525635 wall_clock_time_millis_training 20162.45675086975 wall_clock_time_millis_training 20545.414686203003