10559247 8323 Heinrich Peters 32 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270240 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 19123.80231242732 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.09813781928359377 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 1.2226691292578007 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. 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 22043459 description https://api.openml.org/data/download/22043459/description.xml -1 22043460 predictions https://api.openml.org/data/download/22043460/predictions.arff area_under_roc_curve 0.9996474407791537 [0.999932,0.999845,0.999899,0.998443,0.999999,0.999664,0.999309,0.999974,0.999944,0.999347] average_cost 0 f_measure 0.994633083239666 [0.997808,0.990385,0.994755,0.991939,0.99738,0.994307,0.998106,0.993001,0.99527,0.993359] kappa 0.9940349996209605 kb_relative_information_score 0.9894400708421768 mean_absolute_error 0.0035439552314009658 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9946324599708879 [0.995626,0.991251,0.994755,0.991469,0.998252,0.993365,0.998106,0.99387,0.997156,0.992417] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9946362475422672 [1,0.98952,0.994755,0.99241,0.99651,0.995252,0.998106,0.992133,0.99339,0.994302] predictive_accuracy 0.9946324599708879 prior_entropy 3.320771739846944 relative_absolute_error 0.0196921435623536 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.03069824763005451 root_relative_squared_error 0.10233660402516537 total_cost 0 unweighted_recall 0.9946267679773492 [0.995626,0.991251,0.994755,0.991469,0.998252,0.993365,0.998106,0.99387,0.997156,0.992417] area_under_roc_curve 0.9997112164572224 [1,0.999982,1,0.999952,1,0.997569,1,1,0.999535,0.999943] area_under_roc_curve 0.9999068913562655 [0.999514,0.999849,0.99985,0.999962,0.999991,0.999971,1,0.999991,1,0.999972] area_under_roc_curve 0.9987826131267025 [0.999991,0.99984,0.999152,0.994232,1,0.999914,1,0.999867,0.999875,0.994547] area_under_roc_curve 0.9992985792077781 [1,0.999929,0.999991,0.999952,1,0.999487,0.993418,0.99992,0.999981,1] area_under_roc_curve 0.9999861330523256 [1,0.999903,1,1,1,1,1,0.999964,1,1] area_under_roc_curve 0.9999944619775377 [0.999982,0.999973,1,0.99999,1,1,1,1,1,1] area_under_roc_curve 0.9999953885686526 [1,0.999973,1,1,1,0.99999,1,0.999991,1,1] area_under_roc_curve 0.9999787615454067 [1,0.999813,0.999991,1,1,1,1,1,1,0.99999] area_under_roc_curve 0.9990510154314615 [1,0.999305,1,0.991155,1,1,1,1,1,0.999753] area_under_roc_curve 0.9999596299291525 [1,0.999911,1,0.999741,1,0.999943,1,0.999991,1,1] 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 0.9963590140357622 [1,0.995633,1,0.990476,1,0.990385,1,1,0.995305,0.990566] f_measure 0.9918254651160756 [0.995633,0.982609,0.982609,0.990476,0.995595,0.985646,1,0.995633,1,0.990566] f_measure 0.9927208246243248 [0.995633,0.991228,0.991304,0.990476,1,0.995261,1,0.991304,0.985782,0.985782] f_measure 0.9936375541413284 [1,0.995633,0.995633,0.990476,1,0.990566,0.995215,0.982759,0.985646,1] f_measure 0.9963717334855532 [1,0.995633,0.995633,1,0.995633,0.995261,1,0.987013,1,0.995215] f_measure 0.9954584615212232 [0.995595,0.991379,0.995595,0.995261,0.995671,1,0.995215,0.995595,0.990566,1] f_measure 0.9963602898203235 [0.995595,0.995633,1,0.995261,1,0.995261,0.995305,0.991228,0.995261,1] f_measure 0.9963604417994634 [1,0.991228,0.995595,0.995305,0.995633,1,1,0.995595,1,0.990476] f_measure 0.9954543964710194 [1,0.9869,0.995595,0.985782,1,1,1,0.995595,1,0.990654] f_measure 0.9917948026478448 [0.995595,0.977778,0.995671,0.985782,0.991304,0.990566,0.995305,0.995595,1,0.990476] kappa 0.9959588315145014 kappa 0.9909073876098002 kappa 0.9919102620607669 kappa 0.9929212839040872 kappa 0.9959551012558877 kappa 0.9949439370490258 kappa 0.9959552277944674 kappa 0.9959553208324899 kappa 0.9949441510406124 kappa 0.9908994048867739 kb_relative_information_score 0.9902091851484843 kb_relative_information_score 0.9860779718261168 kb_relative_information_score 0.9869028693557658 kb_relative_information_score 0.9888706081991766 kb_relative_information_score 0.9909296397561888 kb_relative_information_score 0.9905075486757514 kb_relative_information_score 0.9920233538879557 kb_relative_information_score 0.9923047618711327 kb_relative_information_score 0.9894816037175009 kb_relative_information_score 0.9870952787868877 mean_absolute_error 0.0034594292896572747 mean_absolute_error 0.004345219532639271 mean_absolute_error 0.00395794493310235 mean_absolute_error 0.0035481750856605045 mean_absolute_error 0.003347216667684488 mean_absolute_error 0.0032949401301755605 mean_absolute_error 0.0029476416773619417 mean_absolute_error 0.0027979066511328193 mean_absolute_error 0.003504002163918663 mean_absolute_error 0.0042364240094651074 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996798929120086 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996580653132724 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.17996724559468558 mean_prior_absolute_error 0.1799686846580439 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799701568033185 mean_prior_absolute_error 0.1799686846580439 number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1099 [115,114,115,105,114,105,105,115,105,106] number_of_instances 1099 [114,115,114,105,115,106,105,115,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,114,114,106,115,106,106,114,105,105] number_of_instances 1099 [114,114,114,106,114,106,106,114,106,105] number_of_instances 1099 [114,114,114,106,114,105,106,114,106,106] number_of_instances 1099 [114,114,115,105,114,105,106,114,106,106] precision 0.9963800376786967 [1,0.991304,1,0.990476,1,1,1,1,0.990654,0.990566] precision 0.9918643676413541 [1,0.974138,0.982609,0.990476,1,0.990385,1,0.991304,1,0.990566] precision 0.9927377416535658 [1,0.991228,0.991304,0.990476,1,0.990566,1,0.991304,0.981132,0.990476] precision 0.9936763988342499 [1,1,0.991304,0.990476,1,0.990566,1,0.974359,0.990385,1] precision 0.996438233602454 [1,1,0.991304,1,1,1,1,0.974359,1,1] precision 0.9955233775263088 [1,0.982906,1,1,0.991379,1,1,1,0.981308,1] precision 0.9963853279425209 [1,0.991304,1,1,1,1,0.990654,0.991228,0.990566,1] precision 0.9963767438094326 [1,0.991228,1,0.990654,0.991304,1,1,1,1,0.990476] precision 0.9954912689097917 [1,0.982609,1,0.990476,1,1,1,1,1,0.981481] precision 0.9918850530643675 [1,0.990991,0.991379,0.981132,0.982759,0.981308,0.990654,1,1,1] predictive_accuracy 0.9963636363636365 predictive_accuracy 0.9918181818181818 predictive_accuracy 0.9927206551410372 predictive_accuracy 0.9936305732484076 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.9954504094631482 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.9963603275705186 predictive_accuracy 0.9954504094631482 predictive_accuracy 0.991810737033667 prior_entropy 3.3207726565016804 prior_entropy 3.3207726565016804 prior_entropy 3.320615093773185 prior_entropy 3.320615093773185 prior_entropy 3.3207190205874304 prior_entropy 3.3207190205874304 prior_entropy 3.320822852867135 prior_entropy 3.3209290746720725 prior_entropy 3.3209290746720725 prior_entropy 3.3208228528671353 relative_absolute_error 0.01922247008083018 relative_absolute_error 0.024144402289278236 relative_absolute_error 0.02199276078821883 relative_absolute_error 0.01971582910136244 relative_absolute_error 0.01859903259964841 relative_absolute_error 0.018308554533285917 relative_absolute_error 0.016378636555369155 relative_absolute_error 0.015546503380505075 relative_absolute_error 0.019469906712078013 relative_absolute_error 0.023539784254770102 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29997330956058954 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29996967128171426 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.29997206995355086 root_mean_prior_squared_error 0.2999744686062071 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.29997692238045737 root_mean_prior_squared_error 0.2999744686062071 root_mean_squared_error 0.02913799572219051 root_mean_squared_error 0.03735937679685302 root_mean_squared_error 0.038695780630141625 root_mean_squared_error 0.03333769078369726 root_mean_squared_error 0.024700149384569662 root_mean_squared_error 0.027440140065933104 root_mean_squared_error 0.0243912896537204 root_mean_squared_error 0.02300416471562036 root_mean_squared_error 0.03129526134056606 root_mean_squared_error 0.03321757025325169 root_relative_squared_error 0.09713529435293017 root_relative_squared_error 0.1245423362884459 root_relative_squared_error 0.12899897667921492 root_relative_squared_error 0.11113687140853791 root_relative_squared_error 0.08234149728804536 root_relative_squared_error 0.09147564995028393 root_relative_squared_error 0.08131121880822527 root_relative_squared_error 0.07668644818765237 root_relative_squared_error 0.10432556308739854 root_relative_squared_error 0.11073465821139004 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 0.9961994609164421 [1,1,1,0.990476,1,0.980952,1,1,1,0.990566] unweighted_recall 0.991836379299356 [0.991304,0.991228,0.982609,0.990476,0.991228,0.980952,1,1,1,0.990566] unweighted_recall 0.9927225570077779 [0.991304,0.991228,0.991304,0.990476,1,1,1,0.991304,0.990476,0.981132] unweighted_recall 0.9935079495292787 [1,0.991304,1,0.990476,1,0.990566,0.990476,0.991304,0.980952,1] unweighted_recall 0.9963650923864215 [1,0.991304,1,1,0.991304,0.990566,1,1,1,0.990476] unweighted_recall 0.9954726438738355 [0.991228,1,0.991228,0.990566,1,1,0.990476,0.991228,1,1] unweighted_recall 0.9963588215822575 [0.991228,1,1,0.990566,1,0.990566,1,0.991228,1,1] unweighted_recall 0.9964160401002505 [1,0.991228,0.991228,1,1,1,1,0.991228,1,0.990476] unweighted_recall 0.9954816285998014 [1,0.991228,0.991228,0.981132,1,1,1,0.991228,1,1] unweighted_recall 0.9918976687000521 [0.991228,0.964912,1,0.990476,1,1,1,0.991228,1,0.981132] usercpu_time_millis 2137.102000000027 usercpu_time_millis 2205.7819999999992 usercpu_time_millis 2143.9459999999144 usercpu_time_millis 2107.6379999999517 usercpu_time_millis 2144.0800000001445 usercpu_time_millis 2215.7379999999876 usercpu_time_millis 2145.7340000000613 usercpu_time_millis 2139.259999999922 usercpu_time_millis 2133.2040000000916 usercpu_time_millis 2116.158000000155 usercpu_time_millis_testing 40.2400000000398 usercpu_time_millis_testing 39.88400000002912 usercpu_time_millis_testing 40.79799999999523 usercpu_time_millis_testing 40.05999999992582 usercpu_time_millis_testing 42.024000000083106 usercpu_time_millis_testing 41.60999999999149 usercpu_time_millis_testing 40.05200000005971 usercpu_time_millis_testing 40.73399999992944 usercpu_time_millis_testing 40.58200000008583 usercpu_time_millis_testing 41.038000000071406 usercpu_time_millis_training 2096.8619999999873 usercpu_time_millis_training 2165.89799999997 usercpu_time_millis_training 2103.147999999919 usercpu_time_millis_training 2067.578000000026 usercpu_time_millis_training 2102.0560000000614 usercpu_time_millis_training 2174.127999999996 usercpu_time_millis_training 2105.6820000000016 usercpu_time_millis_training 2098.5259999999926 usercpu_time_millis_training 2092.6220000000058 usercpu_time_millis_training 2075.1200000000836 wall_clock_time_millis 1073.4007358551025 wall_clock_time_millis 1116.9331073760986 wall_clock_time_millis 1102.0705699920654 wall_clock_time_millis 1058.971881866455 wall_clock_time_millis 1086.2398147583008 wall_clock_time_millis 1111.9999885559082 wall_clock_time_millis 1076.6420364379883 wall_clock_time_millis 1073.636770248413 wall_clock_time_millis 1073.8823413848877 wall_clock_time_millis 1061.2058639526367 wall_clock_time_millis_testing 20.13683319091797 wall_clock_time_millis_testing 20.009994506835938 wall_clock_time_millis_testing 20.598649978637695 wall_clock_time_millis_testing 20.087003707885742 wall_clock_time_millis_testing 21.17466926574707 wall_clock_time_millis_testing 20.933866500854492 wall_clock_time_millis_testing 20.0350284576416 wall_clock_time_millis_testing 20.406007766723633 wall_clock_time_millis_testing 20.36905288696289 wall_clock_time_millis_testing 20.578861236572266 wall_clock_time_millis_training 1053.2639026641846 wall_clock_time_millis_training 1096.9231128692627 wall_clock_time_millis_training 1081.4719200134277 wall_clock_time_millis_training 1038.8848781585693 wall_clock_time_millis_training 1065.0651454925537 wall_clock_time_millis_training 1091.0661220550537 wall_clock_time_millis_training 1056.6070079803467 wall_clock_time_millis_training 1053.2307624816895 wall_clock_time_millis_training 1053.5132884979248 wall_clock_time_millis_training 1040.6270027160645 weighted_recall 0.9963636363636363 [1,1,1,0.990476,1,0.980952,1,1,1,0.990566] weighted_recall 0.9918181818181818 [0.991304,0.991228,0.982609,0.990476,0.991228,0.980952,1,1,1,0.990566] weighted_recall 0.9927206551410374 [0.991304,0.991228,0.991304,0.990476,1,1,1,0.991304,0.990476,0.981132] weighted_recall 0.9936305732484076 [1,0.991304,1,0.990476,1,0.990566,0.990476,0.991304,0.980952,1] weighted_recall 0.9963603275705186 [1,0.991304,1,1,0.991304,0.990566,1,1,1,0.990476] weighted_recall 0.9954504094631483 [0.991228,1,0.991228,0.990566,1,1,0.990476,0.991228,1,1] weighted_recall 0.9963603275705186 [0.991228,1,1,0.990566,1,0.990566,1,0.991228,1,1] weighted_recall 0.9963603275705186 [1,0.991228,0.991228,1,1,1,1,0.991228,1,0.990476] weighted_recall 0.9954504094631483 [1,0.991228,0.991228,0.981132,1,1,1,0.991228,1,1] weighted_recall 0.991810737033667 [0.991228,0.964912,1,0.990476,1,1,1,0.991228,1,0.981132]