10327518 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) 8183183 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 0.12516163437864822 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.9770303548419323 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.007398869211490563 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 59682 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 21576722 description https://api.openml.org/data/download/21576722/description.xml -1 21576723 predictions https://api.openml.org/data/download/21576723/predictions.arff area_under_roc_curve 0.9302184334099814 [0.909231,0.906052,0.929804,0.921185,0.942842,0.964183] average_cost 0 f_measure 0.8872891453278865 [0.897363,0.880919,0.743441,0.888371,0.914119,0.96017] kappa 0.8573369452292444 kb_relative_information_score 0.8686353854652815 mean_absolute_error 0.03964786225199802 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9092232761698569 [0.990877,0.95256,0.607675,0.921403,0.926685,0.992316] predictive_accuracy 0.8810564132440042 prior_entropy 2.575922879508845 recall 0.8810564132440043 [0.819977,0.819301,0.957326,0.857625,0.901889,0.930041] relative_absolute_error 0.14308421775339158 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.19911770953885047 root_relative_squared_error 0.5349475173466037 total_cost 0 area_under_roc_curve 0.9369573394771288 [0.92965,0.895429,0.925361,0.937365,0.953348,0.968474] area_under_roc_curve 0.9156977986035814 [0.909884,0.905106,0.916573,0.8889,0.921806,0.947257] area_under_roc_curve 0.9203419768151416 [0.894766,0.885751,0.915249,0.931035,0.935257,0.949835] area_under_roc_curve 0.9376030936273811 [0.927326,0.923521,0.949992,0.903657,0.946241,0.971649] area_under_roc_curve 0.9260166395325041 [0.903457,0.909306,0.912795,0.912084,0.953383,0.954989] area_under_roc_curve 0.9313269825776845 [0.869359,0.909484,0.931822,0.933507,0.951347,0.981959] area_under_roc_curve 0.9378830671213795 [0.934881,0.91826,0.947913,0.925542,0.946084,0.95205] area_under_roc_curve 0.9304054634174761 [0.915115,0.898602,0.932604,0.930127,0.926808,0.971196] area_under_roc_curve 0.9282322374482346 [0.893601,0.912731,0.930526,0.910565,0.953816,0.960341] area_under_roc_curve 0.9377361082515638 [0.914531,0.902416,0.935067,0.939176,0.940484,0.984016] 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 0.8981554041808154 [0.922118,0.864111,0.745763,0.910663,0.935829,0.965517] f_measure 0.8650051947528418 [0.900958,0.875862,0.70557,0.84273,0.884718,0.940541] f_measure 0.872022139639858 [0.880259,0.852113,0.709677,0.892045,0.908602,0.943396] f_measure 0.8981446741408644 [0.92163,0.907216,0.790831,0.871642,0.899743,0.970822] f_measure 0.8808399382952118 [0.888889,0.87372,0.71978,0.881657,0.928382,0.949062] f_measure 0.8891838476531334 [0.847682,0.888112,0.73262,0.912281,0.928,0.981627] f_measure 0.8997320156350351 [0.925926,0.908451,0.772222,0.895349,0.922252,0.944] f_measure 0.8869688428378535 [0.905063,0.870175,0.75419,0.888889,0.897297,0.968421] f_measure 0.8842307442548336 [0.874598,0.891986,0.737127,0.885542,0.921875,0.954907] f_measure 0.8980428264059331 [0.902208,0.877193,0.773256,0.90085,0.914439,0.981818] kappa 0.8707134901025088 kappa 0.8278165892006981 kappa 0.83705846459807 kappa 0.8729905537643532 kappa 0.8486576418848735 kappa 0.8591404436347032 kappa 0.873060776379151 kappa 0.8578987423936926 kappa 0.8532853102171215 kappa 0.8728350634685242 kb_relative_information_score 0.8803707159479046 kb_relative_information_score 0.8420038389996632 kb_relative_information_score 0.8497719806610797 kb_relative_information_score 0.8834397618712253 kb_relative_information_score 0.8604131479875172 kb_relative_information_score 0.8699873681210403 kb_relative_information_score 0.883802399914618 kb_relative_information_score 0.8691598805778226 kb_relative_information_score 0.8650063226637359 kb_relative_information_score 0.88241100320985 mean_absolute_error 0.03592233009708737 mean_absolute_error 0.04789644012944991 mean_absolute_error 0.045307443365695844 mean_absolute_error 0.03527508090614885 mean_absolute_error 0.042071197411003264 mean_absolute_error 0.03915857605177994 mean_absolute_error 0.03527508090614885 mean_absolute_error 0.0394822006472492 mean_absolute_error 0.040776699029126236 mean_absolute_error 0.03530936183997407 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 0.9172924305774052 [0.993289,0.939394,0.616822,0.934911,0.956284,0.994536] precision 0.8934986061384576 [1,0.940741,0.561181,0.893082,0.906593,0.988636] precision 0.8995547732445314 [0.992701,0.937984,0.568966,0.902299,0.933702,0.988701] precision 0.9151488766502192 [1,0.970588,0.663462,0.929936,0.879397,1] precision 0.9035032186409583 [0.985915,0.920863,0.587444,0.93125,0.935829,0.988827] precision 0.9172339190950727 [0.992248,0.962121,0.587983,0.95122,0.940541,1] precision 0.9199098470861542 [0.986842,0.992308,0.634703,0.927711,0.939891,0.983333] precision 0.9068539171550056 [0.993056,0.946565,0.62212,0.896552,0.927374,0.994595] precision 0.909214583837709 [0.978417,0.962406,0.596491,0.948387,0.917098,0.989011] precision 0.9137037551349031 [0.986207,0.954198,0.651961,0.903409,0.934426,0.994737] predictive_accuracy 0.8922330097087378 predictive_accuracy 0.8563106796116504 predictive_accuracy 0.8640776699029127 predictive_accuracy 0.8941747572815534 predictive_accuracy 0.8737864077669903 predictive_accuracy 0.8825242718446602 predictive_accuracy 0.8941747572815534 predictive_accuracy 0.8815533980582525 predictive_accuracy 0.8776699029126214 predictive_accuracy 0.8940719144800778 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 0.8922330097087379 [0.860465,0.8,0.942857,0.88764,0.91623,0.938144] recall 0.8563106796116505 [0.819767,0.819355,0.95,0.797753,0.863874,0.896907] recall 0.8640776699029126 [0.790698,0.780645,0.942857,0.882022,0.884817,0.902062] recall 0.8941747572815534 [0.854651,0.851613,0.978723,0.820225,0.921053,0.943299] recall 0.8737864077669902 [0.809249,0.831169,0.929078,0.837079,0.921053,0.912371] recall 0.8825242718446602 [0.739884,0.824675,0.971631,0.876404,0.915789,0.963918] recall 0.8941747572815534 [0.872093,0.837662,0.985816,0.865169,0.905263,0.907692] recall 0.8815533980582524 [0.831395,0.805195,0.957447,0.881356,0.86911,0.94359] recall 0.8776699029126214 [0.790698,0.831169,0.964539,0.830508,0.926702,0.923077] recall 0.8940719144800777 [0.831395,0.811688,0.95,0.898305,0.895288,0.969231] relative_absolute_error 0.12964044696262988 relative_absolute_error 0.17285392928350682 relative_absolute_error 0.16351047364656043 relative_absolute_error 0.1272973693384302 relative_absolute_error 0.15182561332606626 relative_absolute_error 0.1413146093265693 relative_absolute_error 0.12730314024499528 relative_absolute_error 0.14248816678735265 relative_absolute_error 0.14715990996070855 relative_absolute_error 0.12743351446576878 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 0.18953187092699572 root_mean_squared_error 0.21885255339942897 root_mean_squared_error 0.2128554518110726 root_mean_squared_error 0.18781661509607941 root_mean_squared_error 0.20511264566331172 root_mean_squared_error 0.1978852598143175 root_mean_squared_error 0.18781661509607941 root_mean_squared_error 0.19870128496627595 root_mean_squared_error 0.2019324120321605 root_mean_squared_error 0.18790785465215143 root_relative_squared_error 0.5091990687594101 root_relative_squared_error 0.587972438838705 root_relative_squared_error 0.5718605388763874 root_relative_squared_error 0.504562245466748 root_relative_squared_error 0.5510384941361448 root_relative_squared_error 0.5316220032518725 root_relative_squared_error 0.50458511879091 root_relative_squared_error 0.5338355038950592 root_relative_squared_error 0.542516325187474 root_relative_squared_error 0.5048566226456482 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 73243.9455230051 usercpu_time_millis 71090.93325899448 usercpu_time_millis 72778.40401999856 usercpu_time_millis 70668.16290399584 usercpu_time_millis 72519.32009800657 usercpu_time_millis 70685.74589399941 usercpu_time_millis 72249.21349700162 usercpu_time_millis 70318.89615900582 usercpu_time_millis 71601.74548700161 usercpu_time_millis 70727.65861899825 usercpu_time_millis_testing 7450.295677001122 usercpu_time_millis_testing 7365.227877999132 usercpu_time_millis_testing 7432.1762309991755 usercpu_time_millis_testing 7388.52061599755 usercpu_time_millis_testing 7353.0994200045825 usercpu_time_millis_testing 7339.043805994152 usercpu_time_millis_testing 7388.519916996302 usercpu_time_millis_testing 7191.9863680013805 usercpu_time_millis_testing 7468.9219939973555 usercpu_time_millis_testing 7219.422834998113 usercpu_time_millis_training 65793.64984600397 usercpu_time_millis_training 63725.70538099535 usercpu_time_millis_training 65346.227788999386 usercpu_time_millis_training 63279.642287998286 usercpu_time_millis_training 65166.22067800199 usercpu_time_millis_training 63346.70208800526 usercpu_time_millis_training 64860.69358000532 usercpu_time_millis_training 63126.90979100444 usercpu_time_millis_training 64132.82349300425 usercpu_time_millis_training 63508.235784000135 wall_clock_time_millis 76804.17966842651 wall_clock_time_millis 75957.99040794373 wall_clock_time_millis 78442.99411773682 wall_clock_time_millis 75809.87596511841 wall_clock_time_millis 78713.31024169922 wall_clock_time_millis 74338.60158920288 wall_clock_time_millis 77238.2562160492 wall_clock_time_millis 77638.4699344635 wall_clock_time_millis 75959.84506607056 wall_clock_time_millis 77118.30353736877 wall_clock_time_millis_testing 7694.881916046143 wall_clock_time_millis_testing 7907.599449157715 wall_clock_time_millis_testing 8150.64001083374 wall_clock_time_millis_testing 7389.139652252197 wall_clock_time_millis_testing 7780.548334121704 wall_clock_time_millis_testing 7779.653072357178 wall_clock_time_millis_testing 7579.152345657349 wall_clock_time_millis_testing 8102.038383483887 wall_clock_time_millis_testing 7977.105379104614 wall_clock_time_millis_testing 7220.122337341309 wall_clock_time_millis_training 69109.29775238037 wall_clock_time_millis_training 68050.39095878601 wall_clock_time_millis_training 70292.35410690308 wall_clock_time_millis_training 68420.73631286621 wall_clock_time_millis_training 70932.76190757751 wall_clock_time_millis_training 66558.9485168457 wall_clock_time_millis_training 69659.10387039185 wall_clock_time_millis_training 69536.43155097961 wall_clock_time_millis_training 67982.73968696594 wall_clock_time_millis_training 69898.18120002747