10363921 8323 Heinrich Peters 3481 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8219366 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 140.2157268636007 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.051838357205243824 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 36118 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. 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 21649547 description https://api.openml.org/data/download/21649547/description.xml -1 21649548 predictions https://api.openml.org/data/download/21649548/predictions.arff area_under_roc_curve 0.5900360144057624 [0.5982,0.624333,0.61,0.596533,0.551667,0.503356,0.633267,0.595,0.591667,0.596667,0.668,0.584933,0.506689,0.568,0.599867,0.5864,0.603333,0.571667,0.6062,0.626333,0.598785,0.581066,0.584786,0.575,0.598333,0.58] average_cost 0 f_measure 0.28182350360356395 [0.32687,0.38961,0.360656,0.322222,0.187311,0.013333,0.419948,0.319328,0.309859,0.324022,0.497537,0.289773,0.026403,0.236994,0.331492,0.292135,0.342541,0.250729,0.345013,0.39895,0.102564,0.273743,0.098314,0.26087,0.328691,0.275862] kappa 0.1800721410264396 kb_relative_information_score 0.2021065318204624 mean_absolute_error 0.06064462663154918 mean_prior_absolute_error 0.07396449117237175 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] precision 0.8968601714106367 [0.967213,0.882353,1,0.966667,1,1,0.987654,1,1,1,0.95283,0.980769,1,0.891304,0.967742,0.928571,1,1,0.901408,0.938272,0.056017,0.844828,0.053767,1,1,1] predictive_accuracy 0.21161985378991918 prior_entropy 4.700438279892712 recall 0.2116198537899192 [0.196667,0.25,0.22,0.193333,0.103333,0.006711,0.266667,0.19,0.183333,0.193333,0.336667,0.17,0.013378,0.136667,0.2,0.173333,0.206667,0.143333,0.213333,0.253333,0.606667,0.163333,0.573333,0.15,0.196667,0.16] relative_absolute_error 0.8199154171184512 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.24626129746988093 root_relative_squared_error 1.280558797818164 total_cost 0 area_under_roc_curve 0.58 [0.566667,0.666,0.566667,0.6,0.566667,0.5,0.566667,0.616667,0.55,0.55,0.583333,0.616,0.5,0.55,0.533333,0.598667,0.6,0.633333,0.583333,0.616667,0.55,0.615333,0.584,0.55,0.583333,0.633333] area_under_roc_curve 0.588 [0.583333,0.549333,0.583333,0.616667,0.55,0.516667,0.7,0.533333,0.6,0.566667,0.666,0.6,0.5,0.582667,0.566667,0.6,0.616667,0.516667,0.632,0.65,0.583333,0.583333,0.591333,0.533333,0.683333,0.583333] area_under_roc_curve 0.5933333333333333 [0.583333,0.598667,0.616667,0.616667,0.533333,0.5,0.683333,0.55,0.583333,0.583333,0.699333,0.6,0.516667,0.566667,0.633333,0.616667,0.65,0.583333,0.566667,0.632,0.596667,0.583333,0.55,0.6,0.616667,0.566667] area_under_roc_curve 0.5786666666666667 [0.633333,0.632667,0.6,0.616667,0.566667,0.5,0.65,0.6,0.566667,0.533333,0.616,0.566667,0.5,0.565333,0.583333,0.566667,0.583333,0.6,0.583333,0.532667,0.582,0.583333,0.566667,0.566667,0.6,0.55] area_under_roc_curve 0.5993333333333334 [0.582667,0.649333,0.666667,0.633333,0.566667,0.5,0.65,0.633333,0.633333,0.616667,0.7,0.566667,0.5,0.533333,0.566667,0.583333,0.616667,0.583333,0.616,0.716667,0.601333,0.566667,0.616667,0.566667,0.533333,0.583333] area_under_roc_curve 0.6006666666666668 [0.533333,0.566667,0.583333,0.533333,0.566667,0.5,0.666667,0.666667,0.616667,0.666667,0.683333,0.533333,0.5,0.616667,0.682667,0.582667,0.6,0.583333,0.632667,0.616667,0.683333,0.599333,0.603333,0.55,0.6,0.65] area_under_roc_curve 0.5740000000000001 [0.6,0.616,0.583333,0.583333,0.516667,0.516667,0.6,0.583333,0.6,0.583333,0.732,0.6,0.516667,0.549333,0.566667,0.549333,0.55,0.516667,0.616667,0.65,0.578,0.549333,0.516667,0.566667,0.55,0.533333] area_under_roc_curve 0.5934579439252337 [0.633333,0.665332,0.616667,0.548665,0.533333,0.5,0.583333,0.6,0.566667,0.65,0.65,0.55,0.534483,0.55,0.633333,0.583333,0.583333,0.6,0.632666,0.566667,0.596796,0.583333,0.616667,0.683333,0.616667,0.55] area_under_roc_curve 0.5941255006675566 [0.649332,0.599332,0.683333,0.616667,0.583333,0.5,0.6,0.583333,0.616667,0.583333,0.683333,0.6,0.5,0.549332,0.616667,0.583333,0.616667,0.5,0.632666,0.616667,0.583333,0.580663,0.599466,0.583333,0.633333,0.55] area_under_roc_curve 0.5987983978638184 [0.616667,0.7,0.6,0.6,0.533333,0.5,0.632666,0.583333,0.583333,0.633333,0.666667,0.616667,0.5,0.616667,0.615999,0.6,0.616667,0.6,0.565999,0.665332,0.633333,0.565999,0.602804,0.55,0.566667,0.6] 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 0.23811619678040574 [0.333333,0.368421,0.285714,0.285714,0.064516,0.064516,0.333333,0.285714,0.333333,0.285714,0.608696,0.333333,0.064516,0.176471,0.235294,0.176471,0.181818,0.064516,0.378378,0.461538,0.08658,0.176471,0.064516,0.235294,0.181818,0.125] kappa 0.16 kappa 0.17600000000000002 kappa 0.18666666666666668 kappa 0.15733333333333333 kappa 0.19866666666666666 kappa 0.20133333333333334 kappa 0.148 kappa 0.18691867490012393 kappa 0.18825100133511347 kappa 0.19759679572763686 kb_relative_information_score 0.18256297368591443 kb_relative_information_score 0.19813356382556782 kb_relative_information_score 0.20851101656661256 kb_relative_information_score 0.17996829511442075 kb_relative_information_score 0.2201858129725691 kb_relative_information_score 0.22278049154406251 kb_relative_information_score 0.17089069599064996 kb_relative_information_score 0.2087955891708727 kb_relative_information_score 0.21009230180588795 kb_relative_information_score 0.21918535704783285 mean_absolute_error 0.062130177514793675 mean_absolute_error 0.0609467455621309 mean_absolute_error 0.060157790927022385 mean_absolute_error 0.0623274161735708 mean_absolute_error 0.0592702169625253 mean_absolute_error 0.05907297830374818 mean_absolute_error 0.06301775147929076 mean_absolute_error 0.06013626937888881 mean_absolute_error 0.06003752345215828 mean_absolute_error 0.05934630196504459 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396448587535052 mean_prior_absolute_error 0.07396447325283656 mean_prior_absolute_error 0.07396447325283656 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.92481726418378 [1,0.875,1,1,1,1,1,1,1,1,0.875,1,1,0.75,1,0.75,1,1,1,1,0.045249,0.75,1,1,1,1] predictive_accuracy 0.1923076923076923 predictive_accuracy 0.2076923076923077 predictive_accuracy 0.21794871794871795 predictive_accuracy 0.18974358974358974 predictive_accuracy 0.22948717948717948 predictive_accuracy 0.23205128205128203 predictive_accuracy 0.18076923076923077 predictive_accuracy 0.21822849807445444 predictive_accuracy 0.21951219512195125 predictive_accuracy 0.22849807445442874 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700441149362989 prior_entropy 4.700435698259304 prior_entropy 4.700429514669705 prior_entropy 4.700429514669705 recall 0.19230769230769232 [0.133333,0.333333,0.133333,0.2,0.133333,0,0.133333,0.233333,0.1,0.1,0.166667,0.233333,0,0.1,0.066667,0.2,0.2,0.266667,0.166667,0.233333,0.1,0.233333,1,0.1,0.166667,0.266667] recall 0.2076923076923077 [0.166667,0.1,0.166667,0.233333,0.1,0.033333,0.4,0.066667,0.2,0.133333,0.333333,0.2,0,0.166667,0.133333,0.2,0.233333,0.033333,0.266667,0.3,0.166667,0.166667,1,0.066667,0.366667,0.166667] recall 0.21794871794871795 [0.166667,0.2,0.233333,0.233333,0.066667,0,0.366667,0.1,0.166667,0.166667,0.4,0.2,0.033333,0.133333,0.266667,0.233333,0.3,0.166667,0.133333,0.266667,1,0.166667,0.1,0.2,0.233333,0.133333] recall 0.18974358974358974 [0.266667,0.266667,0.2,0.233333,0.133333,0,0.3,0.2,0.133333,0.066667,0.233333,0.133333,0,0.133333,0.166667,0.133333,0.166667,0.2,0.166667,0.066667,1,0.166667,0.133333,0.133333,0.2,0.1] recall 0.22948717948717948 [0.166667,0.3,0.333333,0.266667,0.133333,0,0.3,0.266667,0.266667,0.233333,0.4,0.133333,0,0.066667,0.133333,0.166667,0.233333,0.166667,0.233333,0.433333,1,0.133333,0.233333,0.133333,0.066667,0.166667] recall 0.23205128205128206 [0.066667,0.133333,0.166667,0.066667,0.133333,0,0.333333,0.333333,0.233333,0.333333,0.366667,0.066667,0,0.233333,0.366667,0.166667,0.2,0.166667,0.266667,0.233333,0.366667,0.2,1,0.1,0.2,0.3] recall 0.18076923076923077 [0.2,0.233333,0.166667,0.166667,0.033333,0.033333,0.2,0.166667,0.2,0.166667,0.466667,0.2,0.033333,0.1,0.133333,0.1,0.1,0.033333,0.233333,0.3,1,0.1,0.033333,0.133333,0.1,0.066667] recall 0.21822849807445444 [0.266667,0.333333,0.233333,0.1,0.066667,0,0.166667,0.2,0.133333,0.3,0.3,0.1,0.068966,0.1,0.266667,0.166667,0.166667,0.2,0.266667,0.133333,1,0.166667,0.233333,0.366667,0.233333,0.1] recall 0.21951219512195122 [0.3,0.2,0.366667,0.233333,0.166667,0,0.2,0.166667,0.233333,0.166667,0.366667,0.2,0,0.1,0.233333,0.166667,0.233333,0,0.266667,0.233333,0.166667,0.166667,1,0.166667,0.266667,0.1] recall 0.22849807445442877 [0.233333,0.4,0.2,0.2,0.066667,0,0.266667,0.166667,0.166667,0.266667,0.333333,0.233333,0,0.233333,0.233333,0.2,0.233333,0.2,0.133333,0.333333,0.266667,0.133333,1,0.1,0.133333,0.2] relative_absolute_error 0.8400000000000054 relative_absolute_error 0.8240000000000047 relative_absolute_error 0.8133333333333377 relative_absolute_error 0.842666666666672 relative_absolute_error 0.8013333333333372 relative_absolute_error 0.7986666666666706 relative_absolute_error 0.8520000000000059 relative_absolute_error 0.8130424847437474 relative_absolute_error 0.8117075781359102 relative_absolute_error 0.8023622606244768 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230767088031558 root_mean_prior_squared_error 0.19230763806177284 root_mean_prior_squared_error 0.19230763806177284 root_mean_squared_error 0.2492592576310731 root_mean_squared_error 0.24687394670586627 root_mean_squared_error 0.2452708521757577 root_mean_squared_error 0.2496545937361674 root_mean_squared_error 0.24345475341945022 root_mean_squared_error 0.243049333065837 root_mean_squared_error 0.2510333672627819 root_mean_squared_error 0.2452269752268066 root_mean_squared_error 0.24502555673267692 root_mean_squared_error 0.24361096437772375 root_relative_squared_error 1.2961480884281082 root_relative_squared_error 1.283744472107508 root_relative_squared_error 1.2754083808805767 root_relative_squared_error 1.2982038360933086 root_relative_squared_error 1.2659646677212097 root_relative_squared_error 1.263856481965785 root_relative_squared_error 1.3053734581481962 root_relative_squared_error 1.275180413263004 root_relative_squared_error 1.2741332544158757 root_relative_squared_error 1.2667773720951807 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 94569.27559699398 usercpu_time_millis 98199.39398395945 usercpu_time_millis 97904.85757100396 usercpu_time_millis 97753.77537801978 usercpu_time_millis 96308.46537899924 usercpu_time_millis 97069.67161898501 usercpu_time_millis 98419.23545001191 usercpu_time_millis 97094.40041100606 usercpu_time_millis 97412.66667598393 usercpu_time_millis 98773.54729300714 usercpu_time_millis_testing 5017.480910988525 usercpu_time_millis_testing 6923.784694983624 usercpu_time_millis_testing 6963.810940011172 usercpu_time_millis_testing 6808.428420015844 usercpu_time_millis_testing 6806.085002986947 usercpu_time_millis_testing 6900.292159989476 usercpu_time_millis_testing 6818.522045010468 usercpu_time_millis_testing 6800.337400025455 usercpu_time_millis_testing 6809.601869987091 usercpu_time_millis_testing 7202.1097500110045 usercpu_time_millis_training 89551.79468600545 usercpu_time_millis_training 91275.60928897583 usercpu_time_millis_training 90941.04663099279 usercpu_time_millis_training 90945.34695800394 usercpu_time_millis_training 89502.3803760123 usercpu_time_millis_training 90169.37945899554 usercpu_time_millis_training 91600.71340500144 usercpu_time_millis_training 90294.06301098061 usercpu_time_millis_training 90603.06480599684 usercpu_time_millis_training 91571.43754299614 wall_clock_time_millis 94570.86777687073 wall_clock_time_millis 98201.1182308197 wall_clock_time_millis 97942.42262840271 wall_clock_time_millis 97800.19044876099 wall_clock_time_millis 96310.83750724792 wall_clock_time_millis 97100.6863117218 wall_clock_time_millis 98466.83764457703 wall_clock_time_millis 97116.46366119385 wall_clock_time_millis 97435.09149551392 wall_clock_time_millis 98830.77621459961 wall_clock_time_millis_testing 5017.611980438232 wall_clock_time_millis_testing 6923.967599868774 wall_clock_time_millis_testing 6969.0916538238525 wall_clock_time_millis_testing 6810.052871704102 wall_clock_time_millis_testing 6806.237697601318 wall_clock_time_millis_testing 6905.414581298828 wall_clock_time_millis_testing 6818.670749664307 wall_clock_time_millis_testing 6801.7897605896 wall_clock_time_millis_testing 6810.920238494873 wall_clock_time_millis_testing 7202.232599258423 wall_clock_time_millis_training 89553.2557964325 wall_clock_time_millis_training 91277.15063095093 wall_clock_time_millis_training 90973.33097457886 wall_clock_time_millis_training 90990.13757705688 wall_clock_time_millis_training 89504.5998096466 wall_clock_time_millis_training 90195.27173042297 wall_clock_time_millis_training 91648.16689491272 wall_clock_time_millis_training 90314.67390060425 wall_clock_time_millis_training 90624.17125701904 wall_clock_time_millis_training 91628.54361534119