10559257 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) 8270444 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 1770.5746268532694 17495 cache_size 200 17495 class_weight null 17495 coef0 0.0 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.00018316061302407925 17495 kernel "rbf" 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 22043479 description https://api.openml.org/data/download/22043479/description.xml -1 22043480 predictions https://api.openml.org/data/download/22043480/predictions.arff area_under_roc_curve 0.999392619627246 [0.999297,0.99955,0.999371,0.998433,0.999993,0.999647,0.999132,0.999939,0.999542,0.998922] average_cost 0 f_measure 0.9888034339389373 [0.990342,0.978462,0.987784,0.989603,0.99738,0.985231,0.998108,0.989078,0.982987,0.989125] kappa 0.9875645809793964 kb_relative_information_score 0.9796700940045716 mean_absolute_error 0.006728216538459606 mean_prior_absolute_error 0.17996797657803554 weighted_recall 0.9888100436681223 [0.986877,0.973753,0.98951,0.992417,0.998252,0.980095,0.999053,0.991243,0.985782,0.991469] number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] precision 0.9888153585363121 [0.993833,0.983216,0.986063,0.986805,0.99651,0.990421,0.997164,0.986922,0.980207,0.986792] predictive_accuracy 0.9888100436681222 prior_entropy 3.320771739846944 relative_absolute_error 0.03738563196848634 root_mean_prior_squared_error 0.29997328837006915 root_mean_squared_error 0.04511037596739251 root_relative_squared_error 0.15038130965761534 total_cost 0 unweighted_recall 0.9888451655074896 [0.986877,0.973753,0.98951,0.992417,0.998252,0.980095,0.999053,0.991243,0.985782,0.991469] area_under_roc_curve 0.9998288961420708 [1,0.999831,1,0.999751,1,0.999435,1,0.999982,0.999563,0.999668] area_under_roc_curve 0.9986859975917676 [0.995789,0.998817,0.99495,0.999646,0.999991,0.999904,1,0.999884,0.99851,0.999753] area_under_roc_curve 0.9982145686038727 [0.999982,0.999635,0.999081,0.993274,1,0.999253,1,0.999965,0.999042,0.991288] area_under_roc_curve 0.9988425082474135 [1,0.999152,0.999813,0.999233,1,0.99886,0.991406,0.999859,0.999684,1] area_under_roc_curve 0.9999558883997914 [0.999884,0.999973,0.999991,1,0.999991,0.999905,1,0.999991,0.999818,1] area_under_roc_curve 0.9996614652413462 [0.997462,0.99985,0.999973,0.999981,1,0.999981,1,0.999991,0.999463,0.99999] area_under_roc_curve 0.9999055671026159 [0.999947,0.999955,1,1,1,0.99962,1,0.999982,0.999626,0.999895] area_under_roc_curve 0.9998776612829898 [0.999973,0.999555,0.99992,1,1,0.999971,1,0.999938,0.999905,0.999511] area_under_roc_curve 0.9992039321680786 [0.999955,0.999288,0.999964,0.992932,1,0.999914,0.99999,0.999955,0.999962,0.999848] area_under_roc_curve 0.9998481349703993 [0.999938,0.999466,0.999912,0.999818,0.999955,0.999856,1,0.999902,0.99999,0.999648] 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 0.992722155884486 [0.995671,0.991228,1,0.990476,0.995595,0.985646,1,0.991304,0.985782,0.990566] f_measure 0.9845387179245875 [0.973214,0.978166,0.978166,0.990476,1,0.990476,1,0.982609,0.972222,0.981132] f_measure 0.9863771545216321 [0.995633,0.977778,0.991304,0.967442,1,0.975845,1,0.991304,0.985782,0.976526] f_measure 0.9908857967899012 [1,0.969163,0.991228,0.981132,1,0.985915,0.995215,0.991379,0.995215,1] f_measure 0.9899677972720192 [0.9869,0.978166,0.991304,1,0.995633,0.981132,1,0.991304,0.975845,1] f_measure 0.9900046127147226 [0.977974,0.991379,0.99115,0.995261,0.995671,0.995261,1,0.99115,0.971698,0.990566] f_measure 0.9909158642826155 [0.991228,0.982759,0.99115,1,1,0.985646,1,0.99115,0.976303,0.990566] f_measure 0.9890426157552742 [0.995633,0.973214,0.982609,1,0.995633,0.985782,0.995305,0.991304,0.985782,0.985646] f_measure 0.9872526967518459 [0.99115,0.977974,0.982609,0.981132,1,0.985507,0.995305,0.982301,0.986047,0.990654] f_measure 0.9862918196463857 [0.995595,0.963964,0.978541,0.990476,0.991304,0.980952,0.995305,0.9869,0.995305,0.985782] kappa 0.9919176036429564 kappa 0.9828258068426761 kappa 0.9848320902732156 kappa 0.9898878089670016 kappa 0.9888764261021668 kappa 0.9888768559659119 kappa 0.9898880880941668 kappa 0.9878656833834023 kappa 0.9858437922369955 kappa 0.984832160053145 kb_relative_information_score 0.9822767181311892 kb_relative_information_score 0.972306940586768 kb_relative_information_score 0.9789812098087803 kb_relative_information_score 0.9802941811424115 kb_relative_information_score 0.9819323623637272 kb_relative_information_score 0.9820145746885653 kb_relative_information_score 0.9810029860235647 kb_relative_information_score 0.9810163800403919 kb_relative_information_score 0.9799057550825288 kb_relative_information_score 0.9769741776503996 mean_absolute_error 0.006171110203813776 mean_absolute_error 0.008351486107042377 mean_absolute_error 0.0065848763868438425 mean_absolute_error 0.006271092409305351 mean_absolute_error 0.006432374199485292 mean_absolute_error 0.005946545070296355 mean_absolute_error 0.006520150813913942 mean_absolute_error 0.006447814370093443 mean_absolute_error 0.006826352687584653 mean_absolute_error 0.007729393014984938 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 0.9927490584128515 [0.991379,0.991228,1,0.990476,1,0.990385,1,0.982759,0.990476,0.990566] precision 0.984765532196929 [1,0.973913,0.982456,0.990476,1,0.990476,1,0.974138,0.954545,0.981132] precision 0.9865907131835306 [1,0.990991,0.991304,0.945455,1,0.990196,1,0.991304,0.981132,0.971963] precision 0.990951212885129 [1,0.982143,0.991228,0.971963,1,0.981308,1,0.982906,1,1] precision 0.9900267526817417 [0.982609,0.982456,0.982759,1,1,0.981132,1,0.982759,0.990196,1] precision 0.9901157953971877 [0.982301,0.982906,1,1,0.991379,1,1,1,0.962617,0.981308] precision 0.9910839656821668 [0.991228,0.966102,1,1,1,1,1,1,0.971698,0.981308] precision 0.9891245835807694 [0.991304,0.990909,0.974138,1,0.991304,0.990476,0.990654,0.982759,0.990476,0.990385] precision 0.9873931933747031 [1,0.982301,0.974138,0.981132,1,1,0.990654,0.991071,0.972477,0.981481] precision 0.9864487545058492 [1,0.990741,0.966102,0.990476,0.982759,0.980952,0.990654,0.982609,0.990654,0.990476] predictive_accuracy 0.9927272727272727 predictive_accuracy 0.9845454545454545 predictive_accuracy 0.986351228389445 predictive_accuracy 0.9909008189262967 predictive_accuracy 0.9899909008189263 predictive_accuracy 0.9899909008189263 predictive_accuracy 0.9909008189262967 predictive_accuracy 0.989080982711556 predictive_accuracy 0.9872611464968153 predictive_accuracy 0.986351228389445 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 0.034290043624527505 relative_absolute_error 0.04640539764840671 relative_absolute_error 0.036589597289402816 relative_absolute_error 0.03484602175365864 relative_absolute_error 0.03574191613718424 relative_absolute_error 0.03304237418673899 relative_absolute_error 0.036229363048925954 relative_absolute_error 0.03582713092337847 relative_absolute_error 0.037930470300389166 relative_absolute_error 0.042948544240746414 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 0.040219306325707985 root_mean_squared_error 0.056138807135824684 root_mean_squared_error 0.04854564349874287 root_mean_squared_error 0.04610867784692093 root_mean_squared_error 0.03910817321834996 root_mean_squared_error 0.041376347301011786 root_mean_squared_error 0.04171118331153264 root_mean_squared_error 0.042528454505515935 root_mean_squared_error 0.04455313550328005 root_mean_squared_error 0.04818765934593011 root_relative_squared_error 0.13407628293538018 root_relative_squared_error 0.1871460071499648 root_relative_squared_error 0.16183517250699522 root_relative_squared_error 0.15371113236183906 root_relative_squared_error 0.1303727151144627 root_relative_squared_error 0.13793399934673486 root_relative_squared_error 0.1390491114305104 root_relative_squared_error 0.14177242091835843 root_relative_squared_error 0.14852187678215395 root_relative_squared_error 0.16063920229554168 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 0.9925582824986996 [1,0.991228,1,0.990476,0.991228,0.980952,1,1,0.981132,0.990566] unweighted_recall 0.9848073835121027 [0.947826,0.982456,0.973913,0.990476,1,0.990476,1,0.991228,0.990566,0.981132] unweighted_recall 0.9862814542508858 [0.991304,0.964912,0.991304,0.990476,1,0.961905,1,0.991304,0.990476,0.981132] unweighted_recall 0.9909744418470294 [1,0.956522,0.991228,0.990476,1,0.990566,0.990476,1,0.990476,1] unweighted_recall 0.9899482298856246 [0.991228,0.973913,1,1,0.991304,0.981132,1,1,0.961905,1] unweighted_recall 0.990068094765215 [0.973684,1,0.982456,0.990566,1,0.990566,1,0.982456,0.980952,1] unweighted_recall 0.9908790845037121 [0.991228,1,0.982456,1,1,0.971698,1,0.982456,0.980952,1] unweighted_recall 0.9890584952948409 [1,0.95614,0.991228,1,1,0.981132,1,1,0.981132,0.980952] unweighted_recall 0.9873613278479217 [0.982456,0.973684,0.991228,0.981132,1,0.971429,1,0.973684,1,1] unweighted_recall 0.9864917626305305 [0.991228,0.938596,0.991304,0.990476,1,0.980952,1,0.991228,1,0.981132] usercpu_time_millis 3051.9799999997304 usercpu_time_millis 2859.6340000003693 usercpu_time_millis 2859.204000000318 usercpu_time_millis 2931.897999999819 usercpu_time_millis 2971.2620000000243 usercpu_time_millis 3030.485999999655 usercpu_time_millis 2964.2699999999422 usercpu_time_millis 2904.3900000001486 usercpu_time_millis 2794.06199999994 usercpu_time_millis 2959.3559999998433 usercpu_time_millis_testing 71.89199999993434 usercpu_time_millis_testing 66.0400000001573 usercpu_time_millis_testing 67.71800000024086 usercpu_time_millis_testing 69.08999999996013 usercpu_time_millis_testing 74.2299999997158 usercpu_time_millis_testing 68.55399999994916 usercpu_time_millis_testing 68.09800000019095 usercpu_time_millis_testing 67.27399999999761 usercpu_time_millis_testing 66.35599999981423 usercpu_time_millis_testing 67.39199999992707 usercpu_time_millis_training 2980.087999999796 usercpu_time_millis_training 2793.594000000212 usercpu_time_millis_training 2791.486000000077 usercpu_time_millis_training 2862.807999999859 usercpu_time_millis_training 2897.0320000003085 usercpu_time_millis_training 2961.931999999706 usercpu_time_millis_training 2896.1719999997513 usercpu_time_millis_training 2837.116000000151 usercpu_time_millis_training 2727.7060000001256 usercpu_time_millis_training 2891.9639999999163 wall_clock_time_millis 1537.9400253295898 wall_clock_time_millis 1436.4588260650635 wall_clock_time_millis 1438.4338855743408 wall_clock_time_millis 1488.722324371338 wall_clock_time_millis 1494.8248863220215 wall_clock_time_millis 1543.8008308410645 wall_clock_time_millis 1499.068260192871 wall_clock_time_millis 1457.0608139038086 wall_clock_time_millis 1401.4761447906494 wall_clock_time_millis 1488.5179996490479 wall_clock_time_millis_testing 36.29302978515625 wall_clock_time_millis_testing 33.1730842590332 wall_clock_time_millis_testing 34.028053283691406 wall_clock_time_millis_testing 34.86323356628418 wall_clock_time_millis_testing 37.7659797668457 wall_clock_time_millis_testing 34.301042556762695 wall_clock_time_millis_testing 38.0091667175293 wall_clock_time_millis_testing 33.70785713195801 wall_clock_time_millis_testing 33.19215774536133 wall_clock_time_millis_testing 33.718109130859375 wall_clock_time_millis_training 1501.6469955444336 wall_clock_time_millis_training 1403.2857418060303 wall_clock_time_millis_training 1404.4058322906494 wall_clock_time_millis_training 1453.8590908050537 wall_clock_time_millis_training 1457.0589065551758 wall_clock_time_millis_training 1509.4997882843018 wall_clock_time_millis_training 1461.0590934753418 wall_clock_time_millis_training 1423.3529567718506 wall_clock_time_millis_training 1368.283987045288 wall_clock_time_millis_training 1454.7998905181885 weighted_recall 0.9927272727272727 [1,0.991228,1,0.990476,0.991228,0.980952,1,1,0.981132,0.990566] weighted_recall 0.9845454545454545 [0.947826,0.982456,0.973913,0.990476,1,0.990476,1,0.991228,0.990566,0.981132] weighted_recall 0.986351228389445 [0.991304,0.964912,0.991304,0.990476,1,0.961905,1,0.991304,0.990476,0.981132] weighted_recall 0.9909008189262967 [1,0.956522,0.991228,0.990476,1,0.990566,0.990476,1,0.990476,1] weighted_recall 0.9899909008189263 [0.991228,0.973913,1,1,0.991304,0.981132,1,1,0.961905,1] weighted_recall 0.9899909008189263 [0.973684,1,0.982456,0.990566,1,0.990566,1,0.982456,0.980952,1] weighted_recall 0.9909008189262967 [0.991228,1,0.982456,1,1,0.971698,1,0.982456,0.980952,1] weighted_recall 0.989080982711556 [1,0.95614,0.991228,1,1,0.981132,1,1,0.981132,0.980952] weighted_recall 0.9872611464968153 [0.982456,0.973684,0.991228,0.981132,1,0.971429,1,0.973684,1,1] weighted_recall 0.986351228389445 [0.991228,0.938596,0.991304,0.990476,1,0.980952,1,0.991228,1,0.981132]