10329923 8323 Heinrich Peters 9964 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8185538 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 15.406711505563193 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.8097233063524558 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.007206235544735408 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 4248 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. 1501 semeion https://www.openml.org/data/download/1592293/phptd5jYj -1 21581543 description https://api.openml.org/data/download/21581543/description.xml -1 21581544 predictions https://api.openml.org/data/download/21581544/predictions.arff area_under_roc_curve 0.9769888496560422 [0.981017,0.954331,0.983461,0.980086,0.971705,0.975817,0.988474,0.984123,0.973638,0.97682] average_cost 0 f_measure 0.9586768180072305 [0.977918,0.917722,0.951807,0.971429,0.946708,0.956522,0.971963,0.981132,0.96463,0.946032] kappa 0.9539646781428769 kb_relative_information_score 0.9566448940730342 mean_absolute_error 0.008286252354048954 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9591102049472868 [0.99359,0.917722,0.929412,0.980769,0.94375,0.956522,0.962963,0.993631,0.980392,0.93125] predictive_accuracy 0.9585687382297552 prior_entropy 3.3218194939376526 recall 0.9585687382297552 [0.962733,0.917722,0.975309,0.962264,0.949686,0.956522,0.981132,0.968944,0.949367,0.96129] relative_absolute_error 0.046035498478580496 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.09102885451354946 root_relative_squared_error 0.3034320459002249 total_cost 0 area_under_roc_curve 0.9756944444444444 [0.96875,0.965278,0.965278,0.996528,0.930556,1,0.965278,1,0.96875,0.996528] area_under_roc_curve 0.9792145593869732 [0.96875,0.989583,0.996528,0.96875,1,0.9375,0.96875,1,1,0.95977] area_under_roc_curve 0.9721736596736597 [1,0.965278,0.961806,0.996528,0.930556,0.963595,1,0.9375,0.96875,1] area_under_roc_curve 0.9720765345765348 [0.96875,0.993007,0.993007,0.9375,0.96875,0.965253,0.996503,0.96875,0.96875,0.959722] area_under_roc_curve 0.9825174825174826 [0.996503,0.934003,0.970588,1,0.996503,0.996503,0.996503,0.9375,1,1] area_under_roc_curve 0.9894858662464295 [1,0.96875,0.996479,0.96875,0.996503,0.996503,1,1,0.966667,1] area_under_roc_curve 0.9685557498057499 [0.970588,0.961757,0.96875,0.966667,0.965253,0.993007,0.996528,1,0.934003,0.930507] area_under_roc_curve 0.9860625485625485 [1,0.959722,0.996503,1,0.996503,0.96875,1,1,1,0.9375] area_under_roc_curve 0.9755244755244756 [0.96875,0.9,0.996503,0.96875,0.965253,1,0.961757,0.996503,1,0.993007] area_under_roc_curve 0.9685314685314685 [0.96875,0.902753,0.98951,0.996503,0.966667,0.9375,1,1,0.930507,0.993007] 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 0.9562377810361682 [0.967742,0.9375,0.9375,0.969697,0.875,1,0.9375,1,0.967742,0.969697] f_measure 0.9629816017316017 [0.967742,0.914286,0.969697,0.967742,1,0.933333,0.967742,1,1,0.903226] f_measure 0.9501291719033655 [1,0.9375,0.909091,0.969697,0.875,0.914286,1,0.933333,0.967742,1] f_measure 0.9500000180820776 [0.967742,0.941176,0.941176,0.933333,0.967742,0.9375,0.969697,0.967742,0.967742,0.903226] f_measure 0.9681157281887653 [0.969697,0.903226,0.969697,1,0.969697,0.969697,0.969697,0.933333,1,1] f_measure 0.981101190570832 [1,0.967742,0.971429,0.967742,0.969697,0.969697,1,1,0.965517,1] f_measure 0.9435440131045929 [0.969697,0.909091,0.967742,0.965517,0.9375,0.941176,0.967742,1,0.903226,0.875] f_measure 0.9748169460890094 [1,0.903226,0.969697,1,0.969697,0.967742,1,1,1,0.933333] f_measure 0.9555701658741292 [0.967742,0.888889,0.969697,0.967742,0.9375,1,0.909091,0.969697,1,0.941176] f_measure 0.9432023651670838 [0.967742,0.866667,0.914286,0.969697,0.965517,0.933333,1,1,0.875,0.941176] kappa 0.951388888888889 kappa 0.9583315248057643 kappa 0.9444372097061249 kappa 0.9440952841383554 kappa 0.9650564810338007 kappa 0.9790311236152629 kappa 0.9371016658608413 kappa 0.9720476420691777 kappa 0.9510747725174733 kappa 0.9371016658608413 kb_relative_information_score 0.954262401864791 kb_relative_information_score 0.9607828803357908 kb_relative_information_score 0.9477766660482831 kb_relative_information_score 0.9473582898396974 kb_relative_information_score 0.967163078712121 kb_relative_information_score 0.9802224484983492 kb_relative_information_score 0.9406711731675501 kb_relative_information_score 0.9735654393323281 kb_relative_information_score 0.953913442432643 kb_relative_information_score 0.9407811326477442 mean_absolute_error 0.008749999999999999 mean_absolute_error 0.0075 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.010062893081761006 mean_absolute_error 0.006289308176100629 mean_absolute_error 0.003773584905660378 mean_absolute_error 0.011320754716981131 mean_absolute_error 0.005031446540880504 mean_absolute_error 0.00880503144654088 mean_absolute_error 0.011320754716981131 mean_prior_absolute_error 0.17999999999999963 mean_prior_absolute_error 0.17999532127261347 mean_prior_absolute_error 0.17999532127261347 mean_prior_absolute_error 0.17999662582343604 mean_prior_absolute_error 0.17999348705453969 mean_prior_absolute_error 0.17999348705453969 mean_prior_absolute_error 0.17999819520788427 mean_prior_absolute_error 0.17999897990010832 mean_prior_absolute_error 0.17999897990010832 mean_prior_absolute_error 0.1799997645923324 number_of_instances 160 [16,16,16,16,16,16,16,16,16,16] number_of_instances 160 [16,16,16,16,16,16,16,17,16,15] number_of_instances 160 [16,16,16,16,16,17,16,16,16,15] number_of_instances 159 [16,16,16,16,16,16,16,16,16,15] number_of_instances 159 [16,16,17,16,16,16,16,16,15,15] number_of_instances 159 [16,16,17,16,16,16,16,16,15,15] number_of_instances 159 [17,16,16,15,16,16,15,16,16,16] number_of_instances 159 [16,15,16,16,16,16,16,16,16,16] number_of_instances 159 [16,15,16,16,16,16,16,16,16,16] number_of_instances 159 [16,16,16,16,15,16,16,16,16,16] precision 0.9569852941176471 [1,0.9375,0.9375,0.941176,0.875,1,0.9375,1,1,0.941176] precision 0.966609423374613 [1,0.842105,0.941176,1,1,1,1,1,1,0.875] precision 0.951797385620915 [1,0.9375,0.882353,0.941176,0.875,0.888889,1,1,1,1] precision 0.9536369054959511 [1,0.888889,0.888889,1,1,0.9375,0.941176,1,1,0.875] precision 0.969614009125663 [0.941176,0.933333,1,1,0.941176,0.941176,0.941176,1,1,1] precision 0.9822214000904345 [1,1,0.944444,1,0.941176,0.941176,1,1,1,1] precision 0.9455075636124471 [1,0.882353,1,1,0.9375,0.888889,0.9375,1,0.933333,0.875] precision 0.9763688494265631 [1,0.875,0.941176,1,0.941176,1,1,1,1,1] precision 0.9588523040243352 [1,1,0.941176,1,0.9375,1,0.882353,0.941176,1,0.888889] precision 0.9472444831402717 [1,0.928571,0.842105,0.941176,1,1,1,1,0.875,0.888889] predictive_accuracy 0.95625 predictive_accuracy 0.9625 predictive_accuracy 0.95 predictive_accuracy 0.9496855345911949 predictive_accuracy 0.9685534591194969 predictive_accuracy 0.9811320754716981 predictive_accuracy 0.9433962264150944 predictive_accuracy 0.9748427672955975 predictive_accuracy 0.9559748427672956 predictive_accuracy 0.9433962264150944 prior_entropy 3.322035652456755 prior_entropy 3.321695353806615 prior_entropy 3.321695353806615 prior_entropy 3.3217896094452106 prior_entropy 3.3215641679424013 prior_entropy 3.3215641679424013 prior_entropy 3.321906615533436 prior_entropy 3.321962444265476 prior_entropy 3.321962444265476 prior_entropy 3.3220193319359352 recall 0.95625 [0.9375,0.9375,0.9375,1,0.875,1,0.9375,1,0.9375,1] recall 0.9625 [0.9375,1,1,0.9375,1,0.875,0.9375,1,1,0.933333] recall 0.95 [1,0.9375,0.9375,1,0.875,0.941176,1,0.875,0.9375,1] recall 0.949685534591195 [0.9375,1,1,0.875,0.9375,0.9375,1,0.9375,0.9375,0.933333] recall 0.9685534591194969 [1,0.875,0.941176,1,1,1,1,0.875,1,1] recall 0.9811320754716981 [1,0.9375,1,0.9375,1,1,1,1,0.933333,1] recall 0.9433962264150944 [0.941176,0.9375,0.9375,0.933333,0.9375,1,1,1,0.875,0.875] recall 0.9748427672955975 [1,0.933333,1,1,1,0.9375,1,1,1,0.875] recall 0.9559748427672956 [0.9375,0.8,1,0.9375,0.9375,1,0.9375,1,1,1] recall 0.9433962264150944 [0.9375,0.8125,1,1,0.933333,0.875,1,1,0.875,1] relative_absolute_error 0.0486111111111112 relative_absolute_error 0.04166774973356563 relative_absolute_error 0.05555699964475416 relative_absolute_error 0.05590600954726781 relative_absolute_error 0.03494186528090826 relative_absolute_error 0.02096511916854495 relative_absolute_error 0.06289371237254084 relative_absolute_error 0.02795263919647067 relative_absolute_error 0.04891711859382366 relative_absolute_error 0.06289316401396766 root_mean_prior_squared_error 0.3000024711829099 root_mean_prior_squared_error 0.2999946732668207 root_mean_prior_squared_error 0.2999946732668207 root_mean_prior_squared_error 0.2999968475489186 root_mean_prior_squared_error 0.2999916161668401 root_mean_prior_squared_error 0.2999916161668401 root_mean_prior_squared_error 0.29999946320574855 root_mean_prior_squared_error 0.30000077102561146 root_mean_prior_squared_error 0.30000077102561146 root_mean_prior_squared_error 0.30000207883977315 root_mean_squared_error 0.09354143466934853 root_mean_squared_error 0.08660254037844387 root_mean_squared_error 0.09999999999999999 root_mean_squared_error 0.10031397251510382 root_mean_squared_error 0.07930515857181442 root_mean_squared_error 0.061429511683395124 root_mean_squared_error 0.1063990353197863 root_mean_squared_error 0.07093269021319087 root_mean_squared_error 0.09383512906444409 root_mean_squared_error 0.1063990353197863 root_relative_squared_error 0.3118022138301548 root_relative_squared_error 0.28868026033721605 root_relative_squared_error 0.3333392520308458 root_relative_squared_error 0.3343834221416152 root_relative_squared_error 0.2643579163482653 root_relative_squared_error 0.20477076149098494 root_relative_squared_error 0.354664085671429 root_relative_squared_error 0.23644169303529974 root_relative_squared_error 0.31278295966923786 root_relative_squared_error 0.3546609934546904 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 1794.6456630015746 usercpu_time_millis 1801.997117989231 usercpu_time_millis 1800.168091984233 usercpu_time_millis 1793.3389759855345 usercpu_time_millis 1809.9726220098091 usercpu_time_millis 1781.0839140001917 usercpu_time_millis 1763.5855969856493 usercpu_time_millis 1761.2254120176658 usercpu_time_millis 1768.521268008044 usercpu_time_millis 1794.1024159954395 usercpu_time_millis_testing 97.30228599801194 usercpu_time_millis_testing 97.17140199791174 usercpu_time_millis_testing 97.38025399565231 usercpu_time_millis_testing 95.43135999410879 usercpu_time_millis_testing 97.96057800122071 usercpu_time_millis_testing 98.86542599997483 usercpu_time_millis_testing 98.27819999190979 usercpu_time_millis_testing 95.8287170069525 usercpu_time_millis_testing 95.900819011149 usercpu_time_millis_testing 95.3957039891975 usercpu_time_millis_training 1697.3433770035626 usercpu_time_millis_training 1704.8257159913192 usercpu_time_millis_training 1702.7878379885806 usercpu_time_millis_training 1697.9076159914257 usercpu_time_millis_training 1712.0120440085884 usercpu_time_millis_training 1682.218488000217 usercpu_time_millis_training 1665.3073969937395 usercpu_time_millis_training 1665.3966950107133 usercpu_time_millis_training 1672.620448996895 usercpu_time_millis_training 1698.706712006242 wall_clock_time_millis 1810.7786178588867 wall_clock_time_millis 1802.1621704101562 wall_clock_time_millis 1800.3077507019043 wall_clock_time_millis 1793.4916019439697 wall_clock_time_millis 1810.1158142089844 wall_clock_time_millis 1781.2371253967285 wall_clock_time_millis 1763.723373413086 wall_clock_time_millis 1777.3942947387695 wall_clock_time_millis 1768.6610221862793 wall_clock_time_millis 1794.2569255828857 wall_clock_time_millis_testing 97.3198413848877 wall_clock_time_millis_testing 97.19133377075195 wall_clock_time_millis_testing 97.39875793457031 wall_clock_time_millis_testing 95.45040130615234 wall_clock_time_millis_testing 97.98002243041992 wall_clock_time_millis_testing 98.88386726379395 wall_clock_time_millis_testing 98.2975959777832 wall_clock_time_millis_testing 95.84736824035645 wall_clock_time_millis_testing 95.91984748840332 wall_clock_time_millis_testing 95.4141616821289 wall_clock_time_millis_training 1713.458776473999 wall_clock_time_millis_training 1704.9708366394043 wall_clock_time_millis_training 1702.908992767334 wall_clock_time_millis_training 1698.0412006378174 wall_clock_time_millis_training 1712.1357917785645 wall_clock_time_millis_training 1682.3532581329346 wall_clock_time_millis_training 1665.4257774353027 wall_clock_time_millis_training 1681.546926498413 wall_clock_time_millis_training 1672.741174697876 wall_clock_time_millis_training 1698.8427639007568