10559603 8323 Heinrich Peters 14970 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270414 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 "median" 17407 verbose 0 17407 memory null 17494 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"}}] 17494 verbose false 17494 C 10139.809803411456 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.3001248192233066 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.005578662823307313 17495 kernel "poly" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 1478 har https://www.openml.org/data/download/1589271/php88ZB4Q -1 22044193 description https://api.openml.org/data/download/22044193/description.xml -1 22044194 predictions https://api.openml.org/data/download/22044194/predictions.arff area_under_roc_curve 0.9991699013773105 [0.99912,0.999337,0.998765,0.998787,0.998982,0.99991] average_cost 0 f_measure 0.9861138920475225 [0.991889,0.991607,0.987848,0.972214,0.97475,0.999228] kappa 0.9832969637387113 kb_relative_information_score 0.9736631031757484 mean_absolute_error 0.011653980944176313 mean_prior_absolute_error 0.27709458719152297 weighted_recall 0.9861151568113409 [0.994193,0.994819,0.98293,0.974676,0.972193,0.998457] number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9861291208476385 [0.989595,0.988417,0.992816,0.969765,0.977321,1] predictive_accuracy 0.986115156811341 prior_entropy 2.575922879508845 relative_absolute_error 0.042057771904874065 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.06278776838250905 root_relative_squared_error 0.16868494969003905 total_cost 0 unweighted_recall 0.9862113393665917 [0.994193,0.994819,0.98293,0.974676,0.972193,0.998457] area_under_roc_curve 0.9986744995260244 [0.994904,0.999041,0.999952,0.99905,0.999139,1] area_under_roc_curve 0.9992594854687771 [0.999878,0.999808,0.999374,0.998596,0.998246,0.999797] area_under_roc_curve 0.9997853290974905 [1,1,0.999984,0.999407,0.999407,1] area_under_roc_curve 0.9997559556667165 [0.999512,1,0.999936,0.999578,0.999561,1] area_under_roc_curve 0.9984961628518788 [0.999009,0.995982,1,0.996868,0.998941,1] area_under_roc_curve 0.9991170631096409 [0.999379,0.999318,0.99566,0.999769,0.999768,1] area_under_roc_curve 0.9981274730756367 [0.998699,0.999429,0.993139,0.997989,0.998465,1] area_under_roc_curve 0.999670173886485 [1,0.999852,0.999832,0.999212,0.999201,0.999994] area_under_roc_curve 0.9991596742220926 [0.999932,1,0.999944,0.998059,0.998165,0.99922] area_under_roc_curve 0.9995683660845833 [1,1,0.999976,0.998939,0.998675,1] 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 0.9902901289906719 [0.994152,0.996785,0.996441,0.977654,0.978947,1] f_measure 0.9825053743362735 [0.982659,0.987261,0.974545,0.975069,0.976127,0.997416] f_measure 0.9854335606518461 [0.997101,1,0.996416,0.960452,0.963542,1] f_measure 0.9883462700054727 [0.994186,0.990291,0.989399,0.977273,0.979167,1] f_measure 0.9825114895234438 [0.988506,0.974522,0.978261,0.971591,0.979058,1] f_measure 0.9893355493616505 [0.994186,0.990228,0.982456,0.983146,0.984211,1] f_measure 0.9864097663474525 [0.991304,0.990291,0.992857,0.97191,0.973684,1] f_measure 0.980580574854056 [0.988506,0.987013,0.982079,0.963585,0.965699,0.997429] f_measure 0.9893388938886755 [0.994186,1,0.992908,0.97493,0.978836,0.997429] f_measure 0.9863966308502136 [0.99422,1,0.992806,0.96648,0.968254,1] kappa 0.9883215320335841 kappa 0.978976850723167 kappa 0.9824796559888959 kappa 0.9859856954315181 kappa 0.9789763024146635 kappa 0.9871546464920167 kappa 0.9836483093803368 kappa 0.9766401770810654 kappa 0.9871535832772081 kappa 0.9836313683248911 kb_relative_information_score 0.9740292475115986 kb_relative_information_score 0.9678980600119707 kb_relative_information_score 0.9718051452955226 kb_relative_information_score 0.9775996695988508 kb_relative_information_score 0.971219470762981 kb_relative_information_score 0.976869500555793 kb_relative_information_score 0.9746871075478283 kb_relative_information_score 0.970012596344933 kb_relative_information_score 0.977741802783137 kb_relative_information_score 0.9747688525270704 mean_absolute_error 0.011773248401199293 mean_absolute_error 0.013963118282245952 mean_absolute_error 0.013046003376798159 mean_absolute_error 0.009967955620385481 mean_absolute_error 0.012464063873210357 mean_absolute_error 0.010626736320513495 mean_absolute_error 0.01059095753649948 mean_absolute_error 0.012614346074548501 mean_absolute_error 0.010007454965704031 mean_absolute_error 0.011485761670975083 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 0.9903274873580595 [1,0.99359,0.992908,0.972222,0.984127,1] precision 0.9827641381505007 [0.977011,0.974843,0.992593,0.961749,0.989247,1] precision 0.9854567961971292 [0.99422,1,1,0.965909,0.958549,1] precision 0.9884323546886027 [0.994186,0.993506,0.985915,0.988506,0.969072,1] precision 0.982796022845027 [0.982857,0.95625,1,0.982759,0.973958,1] precision 0.9893949489180786 [1,0.993464,0.972222,0.983146,0.984211,1] precision 0.9864315183683962 [0.988439,0.987097,1,0.97191,0.973684,1] precision 0.9807016660774419 [0.977273,0.987013,0.992754,0.955556,0.973404,1] precision 0.9894655601394607 [0.994186,1,0.992908,0.961538,0.989305,1] precision 0.986505561310526 [0.988506,1,1,0.955801,0.97861,1] predictive_accuracy 0.9902912621359223 predictive_accuracy 0.9825242718446602 predictive_accuracy 0.9854368932038835 predictive_accuracy 0.9883495145631067 predictive_accuracy 0.9825242718446602 predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9805825242718447 predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9863945578231292 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 relative_absolute_error 0.042488590823825695 relative_absolute_error 0.05039163356636507 relative_absolute_error 0.04708184865160583 relative_absolute_error 0.03597141368812875 relative_absolute_error 0.0449800399926459 relative_absolute_error 0.03834953266850389 relative_absolute_error 0.03822137661951515 relative_absolute_error 0.045524186036192536 relative_absolute_error 0.036116120400940845 relative_absolute_error 0.04145277342258675 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 0.059622801978231395 root_mean_squared_error 0.07094356190289836 root_mean_squared_error 0.06243870551785532 root_mean_squared_error 0.05676696620601385 root_mean_squared_error 0.06626934403880043 root_mean_squared_error 0.05740291440398179 root_mean_squared_error 0.06573782602893209 root_mean_squared_error 0.06930940071894988 root_mean_squared_error 0.05729376855567459 root_mean_squared_error 0.06016000141771454 root_relative_squared_error 0.16018348310314642 root_relative_squared_error 0.19059800063571306 root_relative_squared_error 0.1677487303255786 root_relative_squared_error 0.1525023114839388 root_relative_squared_error 0.17803368206986392 root_relative_squared_error 0.15421387311301196 root_relative_squared_error 0.17661019361304253 root_relative_squared_error 0.18620825156588633 root_relative_squared_error 0.15392677411299313 root_relative_squared_error 0.16163334518574912 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 0.9908900249946303 [0.988372,1,1,0.983146,0.973822,1] unweighted_recall 0.9820791902124982 [0.988372,1,0.957143,0.988764,0.963351,0.994845] unweighted_recall 0.986083285011163 [1,1,0.992857,0.955056,0.968586,1] unweighted_recall 0.9883260735276004 [0.994186,0.987097,0.992908,0.966292,0.989474,1] unweighted_recall 0.9816762731359138 [0.99422,0.993506,0.957447,0.960674,0.984211,1] unweighted_recall 0.9892861147535547 [0.988439,0.987013,0.992908,0.983146,0.984211,1] unweighted_recall 0.9865170776234778 [0.994186,0.993506,0.985816,0.97191,0.973684,1] unweighted_recall 0.980563763872332 [1,0.987013,0.971631,0.971751,0.958115,0.994872] unweighted_recall 0.9898754325346948 [0.994186,1,0.992908,0.988701,0.968586,0.994872] unweighted_recall 0.9868717664839769 [1,1,0.985714,0.977401,0.958115,1] usercpu_time_millis 84606.0620000003 usercpu_time_millis 87979.50200000014 usercpu_time_millis 83645.00599999975 usercpu_time_millis 84521.60000000003 usercpu_time_millis 83808.77800000006 usercpu_time_millis 84973.39199999988 usercpu_time_millis 84851.61599999992 usercpu_time_millis 85419.24200000039 usercpu_time_millis 84700.08800000005 usercpu_time_millis 84899.5960000002 usercpu_time_millis_testing 2536.485999999968 usercpu_time_millis_testing 2569.7180000001936 usercpu_time_millis_testing 2490.635999999995 usercpu_time_millis_testing 2520.524000000023 usercpu_time_millis_testing 2482.3419999997896 usercpu_time_millis_testing 2583.9119999996 usercpu_time_millis_testing 2501.9199999997 usercpu_time_millis_testing 2558.686000000307 usercpu_time_millis_testing 2594.720000000052 usercpu_time_millis_testing 2502.966000000015 usercpu_time_millis_training 82069.57600000032 usercpu_time_millis_training 85409.78399999994 usercpu_time_millis_training 81154.36999999975 usercpu_time_millis_training 82001.07600000002 usercpu_time_millis_training 81326.43600000028 usercpu_time_millis_training 82389.48000000027 usercpu_time_millis_training 82349.69600000023 usercpu_time_millis_training 82860.55600000008 usercpu_time_millis_training 82105.368 usercpu_time_millis_training 82396.63000000018 wall_clock_time_millis 43857.5701713562 wall_clock_time_millis 46037.01591491699 wall_clock_time_millis 43622.19214439392 wall_clock_time_millis 44320.85204124451 wall_clock_time_millis 43788.114070892334 wall_clock_time_millis 44178.993225097656 wall_clock_time_millis 44252.09617614746 wall_clock_time_millis 44658.95867347717 wall_clock_time_millis 43924.58415031433 wall_clock_time_millis 44054.88419532776 wall_clock_time_millis_testing 1325.8891105651855 wall_clock_time_millis_testing 1387.523889541626 wall_clock_time_millis_testing 1255.5160522460938 wall_clock_time_millis_testing 1338.8500213623047 wall_clock_time_millis_testing 1290.8668518066406 wall_clock_time_millis_testing 1362.6890182495117 wall_clock_time_millis_testing 1337.9809856414795 wall_clock_time_millis_testing 1302.7658462524414 wall_clock_time_millis_testing 1365.6301498413086 wall_clock_time_millis_testing 1317.3198699951172 wall_clock_time_millis_training 42531.681060791016 wall_clock_time_millis_training 44649.492025375366 wall_clock_time_millis_training 42366.67609214783 wall_clock_time_millis_training 42982.0020198822 wall_clock_time_millis_training 42497.24721908569 wall_clock_time_millis_training 42816.304206848145 wall_clock_time_millis_training 42914.11519050598 wall_clock_time_millis_training 43356.19282722473 wall_clock_time_millis_training 42558.95400047302 wall_clock_time_millis_training 42737.56432533264 weighted_recall 0.9902912621359223 [0.988372,1,1,0.983146,0.973822,1] weighted_recall 0.9825242718446602 [0.988372,1,0.957143,0.988764,0.963351,0.994845] weighted_recall 0.9854368932038835 [1,1,0.992857,0.955056,0.968586,1] weighted_recall 0.9883495145631068 [0.994186,0.987097,0.992908,0.966292,0.989474,1] weighted_recall 0.9825242718446602 [0.99422,0.993506,0.957447,0.960674,0.984211,1] weighted_recall 0.9893203883495145 [0.988439,0.987013,0.992908,0.983146,0.984211,1] weighted_recall 0.9864077669902913 [0.994186,0.993506,0.985816,0.97191,0.973684,1] weighted_recall 0.9805825242718447 [1,0.987013,0.971631,0.971751,0.958115,0.994872] weighted_recall 0.9893203883495145 [0.994186,1,0.992908,0.988701,0.968586,0.994872] weighted_recall 0.9863945578231292 [1,1,0.985714,0.977401,0.958115,1]