10382476 8323 Heinrich Peters 9960 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8231681 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.6157059094805306 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.704295099468238 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.010149764127328098 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 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. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 21686661 description https://api.openml.org/data/download/21686661/description.xml -1 21686662 predictions https://api.openml.org/data/download/21686662/predictions.arff area_under_roc_curve 0.8388337382602681 [0.828509,0.877347,0.927626,0.733361] average_cost 0 f_measure 0.7893159152971784 [0.79579,0.844037,0.834553,0.615147] kappa 0.6862961069992087 kb_relative_information_score 0.7046613015611324 mean_absolute_error 0.10172287390029326 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.8002399941120015 [0.785935,0.79511,0.802817,0.850427] predictive_accuracy 0.7965542521994134 prior_entropy 1.7146330399083418 recall 0.7965542521994134 [0.805896,0.89938,0.868902,0.48184] relative_absolute_error 0.30709890696787473 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.31894023562462803 root_relative_squared_error 0.7837456646297085 total_cost 0 area_under_roc_curve 0.8512874674898269 [0.843258,0.889881,0.871965,0.76577] area_under_roc_curve 0.8389747384597658 [0.83638,0.889881,0.857788,0.708027] area_under_roc_curve 0.8274938196373783 [0.814222,0.860119,0.932571,0.738349] area_under_roc_curve 0.847421310728003 [0.829504,0.891071,0.912547,0.758581] area_under_roc_curve 0.8374632243544786 [0.808882,0.879762,0.944799,0.763525] area_under_roc_curve 0.8278412703919892 [0.830187,0.858036,0.945774,0.69834] area_under_roc_curve 0.8356379505397573 [0.822937,0.875693,0.960953,0.719645] area_under_roc_curve 0.844408474890931 [0.852194,0.868179,0.965826,0.717011] area_under_roc_curve 0.8530039806636897 [0.842425,0.895662,0.951616,0.733103] area_under_roc_curve 0.8248370003911591 [0.804983,0.865203,0.934511,0.731325] 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 0.8064852292001613 [0.813333,0.859729,0.769231,0.666667] f_measure 0.78784888058271 [0.80531,0.857143,0.761905,0.57377] f_measure 0.7757741408364889 [0.778281,0.824053,0.84058,0.621212] f_measure 0.7984640858855603 [0.796339,0.859688,0.767123,0.661654] f_measure 0.788267116402539 [0.772009,0.848073,0.821918,0.666667] f_measure 0.771505339547659 [0.797297,0.821192,0.833333,0.552846] f_measure 0.7856708228391521 [0.789474,0.843537,0.857143,0.601626] f_measure 0.7956125135974342 [0.824053,0.833333,0.923077,0.575758] f_measure 0.8071494308276859 [0.812641,0.864143,0.909091,0.606061] f_measure 0.7747513093067405 [0.768889,0.829596,0.865672,0.614173] kappa 0.7091915091656541 kappa 0.6861167002012073 kappa 0.6647904617940371 kappa 0.6999630230694962 kappa 0.6834539018008311 kappa 0.663693911459169 kappa 0.682180996464628 kappa 0.6969059090743716 kappa 0.7142211884909717 kappa 0.6623384061102406 kb_relative_information_score 0.719686785734065 kb_relative_information_score 0.6925446787990439 kb_relative_information_score 0.6889856614742865 kb_relative_information_score 0.716175504730952 kb_relative_information_score 0.7082851345885903 kb_relative_information_score 0.6844756409590913 kb_relative_information_score 0.7036650152526824 kb_relative_information_score 0.7156206359529602 kb_relative_information_score 0.7301329916897363 kb_relative_information_score 0.687112925297826 mean_absolute_error 0.09432234432234432 mean_absolute_error 0.10073260073260074 mean_absolute_error 0.10897435897435898 mean_absolute_error 0.09798534798534798 mean_absolute_error 0.10347985347985347 mean_absolute_error 0.10897435897435898 mean_absolute_error 0.10275229357798166 mean_absolute_error 0.0981651376146789 mean_absolute_error 0.0926605504587156 mean_absolute_error 0.10917431192660551 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.3311205766710351 mean_prior_absolute_error 0.3311024296804111 mean_prior_absolute_error 0.3311861074705109 mean_prior_absolute_error 0.3311861074705109 number_of_instances 546 [221,210,33,82] number_of_instances 546 [221,210,33,82] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 545 [220,210,32,83] number_of_instances 545 [221,209,32,83] number_of_instances 545 [221,209,33,82] number_of_instances 545 [221,209,33,82] precision 0.8131751593950309 [0.799127,0.818966,0.78125,0.849057] precision 0.8047876726448154 [0.787879,0.795918,0.8,0.875] precision 0.7857785066499096 [0.774775,0.774059,0.805556,0.836735] precision 0.8097566298755973 [0.801843,0.807531,0.7,0.88] precision 0.7972096605245967 [0.766816,0.809524,0.75,0.865385] precision 0.788488355017659 [0.790179,0.765432,0.769231,0.85] precision 0.8053682149635549 [0.762712,0.805195,0.789474,0.925] precision 0.8024043052511891 [0.811404,0.787234,0.909091,0.77551] precision 0.8141850566162494 [0.810811,0.808333,0.909091,0.8] precision 0.7877312243734627 [0.755459,0.780591,0.852941,0.866667] predictive_accuracy 0.8113553113553114 predictive_accuracy 0.7985347985347986 predictive_accuracy 0.782051282051282 predictive_accuracy 0.8040293040293041 predictive_accuracy 0.793040293040293 predictive_accuracy 0.782051282051282 predictive_accuracy 0.7944954128440367 predictive_accuracy 0.8036697247706422 predictive_accuracy 0.8146788990825687 predictive_accuracy 0.7816513761467889 prior_entropy 1.7138246699606299 prior_entropy 1.7138246699606299 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7121302787024806 prior_entropy 1.711997401430895 prior_entropy 1.714437400963805 prior_entropy 1.714437400963805 recall 0.8113553113553114 [0.828054,0.904762,0.757576,0.54878] recall 0.7985347985347986 [0.823529,0.928571,0.727273,0.426829] recall 0.782051282051282 [0.781818,0.880952,0.878788,0.493976] recall 0.8040293040293041 [0.790909,0.919048,0.848485,0.53012] recall 0.793040293040293 [0.777273,0.890476,0.909091,0.542169] recall 0.782051282051282 [0.804545,0.885714,0.909091,0.409639] recall 0.7944954128440367 [0.818182,0.885714,0.9375,0.445783] recall 0.8036697247706422 [0.837104,0.885167,0.9375,0.457831] recall 0.8146788990825689 [0.81448,0.92823,0.909091,0.487805] recall 0.781651376146789 [0.782805,0.885167,0.878788,0.47561] relative_absolute_error 0.2848383520320021 relative_absolute_error 0.3041962982866041 relative_absolute_error 0.32885539857533475 relative_absolute_error 0.2956935096433682 relative_absolute_error 0.3122744541093514 relative_absolute_error 0.32885539857533475 relative_absolute_error 0.3103168477507969 relative_absolute_error 0.2964796655507195 relative_absolute_error 0.27978392924276324 relative_absolute_error 0.32964641168206754 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.4067990554858411 root_mean_prior_squared_error 0.40677675026179705 root_mean_prior_squared_error 0.4068795919478491 root_mean_prior_squared_error 0.4068795919478491 root_mean_squared_error 0.30711943006319925 root_mean_squared_error 0.31738399570961473 root_mean_squared_error 0.33011264588676237 root_mean_squared_error 0.3130261139032141 root_mean_squared_error 0.32168284610754966 root_mean_squared_error 0.33011264588676237 root_mean_squared_error 0.3205499860832654 root_mean_squared_error 0.3133131622110359 root_mean_squared_error 0.304401955412109 root_mean_squared_error 0.3304153627278936 root_relative_squared_error 0.7549138489616288 root_relative_squared_error 0.7801446289173621 root_relative_squared_error 0.8108658780887091 root_relative_squared_error 0.7688957023533534 root_relative_squared_error 0.7901595007800737 root_relative_squared_error 0.8108658780887091 root_relative_squared_error 0.7879811463682771 root_relative_squared_error 0.7702337019246822 root_relative_squared_error 0.7481376835708317 root_relative_squared_error 0.8120716036557662 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 1258.1762949999984 usercpu_time_millis 1273.6470739999959 usercpu_time_millis 1219.739263000065 usercpu_time_millis 1229.8138329999801 usercpu_time_millis 1241.1868419999337 usercpu_time_millis 1215.0680250000505 usercpu_time_millis 1469.6700969999483 usercpu_time_millis 1232.884017999936 usercpu_time_millis 1240.3012859999762 usercpu_time_millis 1323.976117000143 usercpu_time_millis_testing 135.7650149999472 usercpu_time_millis_testing 104.72614500008603 usercpu_time_millis_testing 104.06067200005964 usercpu_time_millis_testing 105.20703399993181 usercpu_time_millis_testing 101.71036099995945 usercpu_time_millis_testing 103.9374609999868 usercpu_time_millis_testing 139.32475700005398 usercpu_time_millis_testing 112.11329299999306 usercpu_time_millis_testing 101.08175099992422 usercpu_time_millis_testing 168.46905300008075 usercpu_time_millis_training 1122.4112800000512 usercpu_time_millis_training 1168.9209289999098 usercpu_time_millis_training 1115.6785910000053 usercpu_time_millis_training 1124.6067990000483 usercpu_time_millis_training 1139.4764809999742 usercpu_time_millis_training 1111.1305640000637 usercpu_time_millis_training 1330.3453399998943 usercpu_time_millis_training 1120.770724999943 usercpu_time_millis_training 1139.219535000052 usercpu_time_millis_training 1155.5070640000622 wall_clock_time_millis 1259.167194366455 wall_clock_time_millis 1275.2346992492676 wall_clock_time_millis 1219.787359237671 wall_clock_time_millis 1229.839563369751 wall_clock_time_millis 1241.2264347076416 wall_clock_time_millis 1215.095043182373 wall_clock_time_millis 1469.7351455688477 wall_clock_time_millis 1232.9187393188477 wall_clock_time_millis 1240.346908569336 wall_clock_time_millis 1324.1918087005615 wall_clock_time_millis_testing 135.86711883544922 wall_clock_time_millis_testing 104.7978401184082 wall_clock_time_millis_testing 104.07733917236328 wall_clock_time_millis_testing 105.21507263183594 wall_clock_time_millis_testing 101.71794891357422 wall_clock_time_millis_testing 103.94525527954102 wall_clock_time_millis_testing 139.3451690673828 wall_clock_time_millis_testing 112.1206283569336 wall_clock_time_millis_testing 101.09090805053711 wall_clock_time_millis_testing 168.47920417785645 wall_clock_time_millis_training 1123.3000755310059 wall_clock_time_millis_training 1170.4368591308594 wall_clock_time_millis_training 1115.7100200653076 wall_clock_time_millis_training 1124.624490737915 wall_clock_time_millis_training 1139.5084857940674 wall_clock_time_millis_training 1111.149787902832 wall_clock_time_millis_training 1330.3899765014648 wall_clock_time_millis_training 1120.798110961914 wall_clock_time_millis_training 1139.2560005187988 wall_clock_time_millis_training 1155.712604522705