10330435 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) 8186043 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 42.8718089702478 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.6390272054347252 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.02965844567448009 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 63641 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 21582567 description https://api.openml.org/data/download/21582567/description.xml -1 21582568 predictions https://api.openml.org/data/download/21582568/predictions.arff area_under_roc_curve 0.8125374421867558 [0.820859,0.805433,0.558321,0.860424,0.877722,0.886987] average_cost 0 f_measure 0.6943909628803913 [0.528644,0.754988,0.208917,0.827675,0.848238,0.871528] kappa 0.623282972660855 kb_relative_information_score 0.6461700709530713 mean_absolute_error 0.10402304430851238 mean_prior_absolute_error 0.27709458719152297 number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.874239012752824 [0.359365,0.983368,1,0.960595,0.953504,0.996032] predictive_accuracy 0.6879308670744733 prior_entropy 2.575922879508845 recall 0.6879308670744733 [0.999419,0.612694,0.116643,0.727068,0.763903,0.774691] relative_absolute_error 0.37540626600769167 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.32252603663659835 root_relative_squared_error 0.8664950143207846 total_cost 0 area_under_roc_curve 0.8123130961435616 [0.820513,0.778359,0.546429,0.870661,0.873984,0.909794] area_under_roc_curve 0.8035110224461864 [0.813527,0.786894,0.546429,0.842571,0.874218,0.887979] area_under_roc_curve 0.8093264080108394 [0.817599,0.8,0.560714,0.868901,0.873984,0.870536] area_under_roc_curve 0.8080963051033474 [0.818182,0.825806,0.549645,0.840349,0.892262,0.860825] area_under_roc_curve 0.821429668278904 [0.826721,0.79756,0.570922,0.852759,0.918076,0.89433] area_under_roc_curve 0.8266848141056716 [0.832555,0.82621,0.56383,0.884245,0.872744,0.914948] area_under_roc_curve 0.8145500984214402 [0.822844,0.821429,0.560284,0.867265,0.878603,0.875127] area_under_roc_curve 0.799442680797965 [0.807692,0.772156,0.56383,0.863128,0.857681,0.869231] area_under_roc_curve 0.8086955627026637 [0.818182,0.834416,0.546099,0.819103,0.89135,0.879487] area_under_roc_curve 0.8213566373207895 [0.830805,0.811688,0.575,0.895261,0.844588,0.907692] 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 0.6898660321608482 [0.527607,0.707317,0.169935,0.841772,0.847059,0.90085] f_measure 0.6765385115179582 [0.519757,0.717131,0.169935,0.803922,0.84058,0.870317] f_measure 0.6909272202647693 [0.523592,0.75,0.216561,0.833856,0.847059,0.849558] f_measure 0.6856098583852634 [0.52439,0.789062,0.180645,0.802632,0.856338,0.838323] f_measure 0.7100141053691154 [0.538103,0.741935,0.248447,0.823529,0.901408,0.881844] f_measure 0.7161781820993177 [0.546603,0.782946,0.226415,0.867089,0.843658,0.907042] f_measure 0.6981686898932289 [0.530864,0.782609,0.21519,0.835443,0.852941,0.852174] f_measure 0.6772304319160287 [0.510386,0.702929,0.226415,0.828025,0.823881,0.849558] f_measure 0.6855148791865884 [0.52439,0.801556,0.168831,0.77027,0.858757,0.862974] f_measure 0.7094616142908765 [0.542587,0.768,0.26087,0.863222,0.806061,0.898305] kappa 0.6224898866991598 kappa 0.6049858431733139 kappa 0.6168250667237014 kappa 0.6145196425829128 kappa 0.641220383435897 kappa 0.6518440621948471 kappa 0.6274021097272007 kappa 0.5969491351901671 kappa 0.6156108594710894 kappa 0.6410444655977291 kb_relative_information_score 0.6444867227079822 kb_relative_information_score 0.6290559022247321 kb_relative_information_score 0.6405520050432281 kb_relative_information_score 0.6384562785194688 kb_relative_information_score 0.6621748411740438 kb_relative_information_score 0.6722493980458109 kb_relative_information_score 0.6502845332254149 kb_relative_information_score 0.6222818262354552 kb_relative_information_score 0.6393001534190492 kb_relative_information_score 0.662873810982662 mean_absolute_error 0.10420711974109989 mean_absolute_error 0.10906148867313865 mean_absolute_error 0.10582524271844615 mean_absolute_error 0.10647249190938465 mean_absolute_error 0.09902912621359188 mean_absolute_error 0.09611650485436861 mean_absolute_error 0.10291262135922288 mean_absolute_error 0.11132686084142342 mean_absolute_error 0.1061488673139154 mean_absolute_error 0.09912536443148652 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 0.8737490050336634 [0.358333,0.956044,1,0.963768,0.966443,1] precision 0.8623102991687015 [0.351852,0.9375,1,0.960938,0.941558,0.986928] precision 0.8749041945209233 [0.354639,1,1,0.943262,0.966443,0.993103] precision 0.8723334721569497 [0.355372,1,1,0.968254,0.921212,1] precision 0.882391555244659 [0.368085,0.978723,1,0.984375,0.969697,1] precision 0.882213469904932 [0.376087,0.971154,1,0.992754,0.959732,1] precision 0.8759017444039667 [0.361345,1,1,0.956522,0.966667,0.98] precision 0.8719595895695932 [0.342629,0.988235,1,0.948905,0.958333,1] precision 0.8726188559224131 [0.355372,1,1,0.957983,0.932515,1] precision 0.8757485819980371 [0.372294,1,1,0.934211,0.956835,1] predictive_accuracy 0.687378640776699 predictive_accuracy 0.6728155339805825 predictive_accuracy 0.6825242718446601 predictive_accuracy 0.6805825242718447 predictive_accuracy 0.7029126213592233 predictive_accuracy 0.7116504854368932 predictive_accuracy 0.6912621359223301 predictive_accuracy 0.6660194174757281 predictive_accuracy 0.6815533980582525 predictive_accuracy 0.7026239067055394 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 0.6873786407766991 [1,0.56129,0.092857,0.747191,0.753927,0.819588] recall 0.6728155339805825 [0.994186,0.580645,0.092857,0.691011,0.759162,0.778351] recall 0.6825242718446602 [1,0.6,0.121429,0.747191,0.753927,0.742268] recall 0.6805825242718446 [1,0.651613,0.099291,0.685393,0.8,0.721649] recall 0.7029126213592233 [1,0.597403,0.141844,0.707865,0.842105,0.78866] recall 0.7116504854368932 [1,0.655844,0.12766,0.769663,0.752632,0.829897] recall 0.6912621359223301 [1,0.642857,0.120567,0.741573,0.763158,0.753846] recall 0.6660194174757281 [1,0.545455,0.12766,0.734463,0.722513,0.738462] recall 0.6815533980582524 [1,0.668831,0.092199,0.644068,0.795812,0.758974] recall 0.7026239067055393 [1,0.623377,0.15,0.80226,0.696335,0.815385] relative_absolute_error 0.3760740893870871 relative_absolute_error 0.3935930687063611 relative_absolute_error 0.38191374916017845 relative_absolute_error 0.3842278395627832 relative_absolute_error 0.35737413598289286 relative_absolute_error 0.3468631319833962 relative_absolute_error 0.3713981522743886 relative_absolute_error 0.401769912908599 relative_absolute_error 0.3830829402151759 relative_absolute_error 0.3577491323534415 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 0.32281127573413526 root_mean_squared_error 0.33024458916557387 root_mean_squared_error 0.32530791985201674 root_mean_squared_error 0.3263012287892656 root_mean_squared_error 0.3146889356389765 root_mean_squared_error 0.3100266195899452 root_mean_squared_error 0.3207999709464184 root_mean_squared_error 0.3336568009818224 root_mean_squared_error 0.3258049528689142 root_mean_squared_error 0.3148418085824793 root_relative_squared_error 0.8672694475335667 root_relative_squared_error 0.8872398950291401 root_relative_squared_error 0.8739769677708286 root_relative_squared_error 0.8765959316871303 root_relative_squared_error 0.8454169983280785 root_relative_squared_error 0.8328916096250235 root_relative_squared_error 0.861856078948672 root_relative_squared_error 0.8964101390203651 root_relative_squared_error 0.8753151808545273 root_relative_squared_error 0.8458931769661298 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 172011.33915499668 usercpu_time_millis 171917.98171900155 usercpu_time_millis 170106.60555301 usercpu_time_millis 171047.4047089956 usercpu_time_millis 169528.63647900813 usercpu_time_millis 170257.13421699766 usercpu_time_millis 170404.99758999795 usercpu_time_millis 175938.56145099562 usercpu_time_millis 169878.77784900775 usercpu_time_millis 170609.4187770068 usercpu_time_millis_testing 10326.89508999465 usercpu_time_millis_testing 10357.048353005666 usercpu_time_millis_testing 10215.11986500991 usercpu_time_millis_testing 10454.00198599964 usercpu_time_millis_testing 10289.503380001406 usercpu_time_millis_testing 10263.208310003392 usercpu_time_millis_testing 10221.068553000805 usercpu_time_millis_testing 10266.580461000558 usercpu_time_millis_testing 10294.473762012785 usercpu_time_millis_testing 10335.733473009896 usercpu_time_millis_training 161684.44406500203 usercpu_time_millis_training 161560.93336599588 usercpu_time_millis_training 159891.4856880001 usercpu_time_millis_training 160593.40272299596 usercpu_time_millis_training 159239.13309900672 usercpu_time_millis_training 159993.92590699426 usercpu_time_millis_training 160183.92903699714 usercpu_time_millis_training 165671.98098999506 usercpu_time_millis_training 159584.30408699496 usercpu_time_millis_training 160273.6853039969 wall_clock_time_millis 183342.875957489 wall_clock_time_millis 184475.92902183533 wall_clock_time_millis 180777.1508693695 wall_clock_time_millis 181037.2805595398 wall_clock_time_millis 178209.84411239624 wall_clock_time_millis 186103.0797958374 wall_clock_time_millis 177958.84776115417 wall_clock_time_millis 188740.07868766785 wall_clock_time_millis 178148.72884750366 wall_clock_time_millis 180005.93972206116 wall_clock_time_millis_testing 10611.86671257019 wall_clock_time_millis_testing 11105.916023254395 wall_clock_time_millis_testing 10216.36176109314 wall_clock_time_millis_testing 11450.26969909668 wall_clock_time_millis_testing 11415.159463882446 wall_clock_time_millis_testing 11535.955667495728 wall_clock_time_millis_testing 10491.710186004639 wall_clock_time_millis_testing 10299.463510513306 wall_clock_time_millis_testing 10487.301111221313 wall_clock_time_millis_testing 10892.359733581543 wall_clock_time_millis_training 172731.00924491882 wall_clock_time_millis_training 173370.01299858093 wall_clock_time_millis_training 170560.78910827637 wall_clock_time_millis_training 169587.01086044312 wall_clock_time_millis_training 166794.6846485138 wall_clock_time_millis_training 174567.12412834167 wall_clock_time_millis_training 167467.13757514954 wall_clock_time_millis_training 178440.61517715454 wall_clock_time_millis_training 167661.42773628235 wall_clock_time_millis_training 169113.5799884796