10329861 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) 8185476 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 9.843899177057974 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7902023795206077 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.002234637148515148 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 36108 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 21581419 description https://api.openml.org/data/download/21581419/description.xml -1 21581420 predictions https://api.openml.org/data/download/21581420/predictions.arff area_under_roc_curve 0.9762810493984863 [0.987228,0.952212,0.984801,0.980086,0.964369,0.978922,0.975547,0.98653,0.973987,0.978559] average_cost 0 f_measure 0.9574232160286325 [0.984326,0.923077,0.940828,0.971429,0.93125,0.959752,0.955975,0.978193,0.967742,0.96129] kappa 0.9525685261406428 kb_relative_information_score 0.9553129497333813 mean_absolute_error 0.008537350910232257 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9580103161639495 [0.993671,0.935065,0.903409,0.980769,0.925466,0.95679,0.955975,0.98125,0.986842,0.96129] predictive_accuracy 0.9573132454488387 prior_entropy 3.3218194939376526 recall 0.9573132454488387 [0.975155,0.911392,0.981481,0.962264,0.937107,0.962733,0.955975,0.975155,0.949367,0.96129] relative_absolute_error 0.04743051358399203 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.09239778628426255 root_relative_squared_error 0.30799518986270846 total_cost 0 area_under_roc_curve 0.9722222222222221 [0.96875,0.965278,0.965278,0.996528,0.930556,1,0.934028,0.996528,1,0.965278] area_under_roc_curve 0.9756941095303164 [0.96875,0.989583,0.996528,0.96875,0.996528,0.9375,0.9375,0.996503,1,0.963218] area_under_roc_curve 0.972197940947941 [1,0.965278,0.954861,1,0.930556,0.967092,1,0.96875,0.9375,1] area_under_roc_curve 0.9790452602952603 [0.96875,0.993007,0.993007,0.9375,0.96875,0.996503,1,1,0.96875,0.963194] area_under_roc_curve 0.9754752289963557 [0.996503,0.9375,0.992958,1,0.965253,0.996503,0.961757,0.9375,0.966667,1] area_under_roc_curve 0.9719787254998523 [1,0.930507,0.963546,0.9375,0.961757,0.996503,0.96875,0.996503,0.966667,1] area_under_roc_curve 0.9790452602952605 [1,0.965253,1,0.966667,0.996503,0.993007,0.963194,1,0.9375,0.965253] area_under_roc_curve 0.986013986013986 [1,0.966667,0.996503,0.996503,0.993007,0.96875,1,1,1,0.9375] area_under_roc_curve 0.9825174825174826 [1,0.9,0.996503,1,0.965253,1,0.993007,0.96875,1,0.996503] area_under_roc_curve 0.9685314685314685 [0.96875,0.90625,0.98951,0.996503,0.933333,0.934003,0.996503,1,0.961757,0.996503] 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 0.9497861681329424 [0.967742,0.9375,0.9375,0.969697,0.875,1,0.903226,0.969697,1,0.9375] f_measure 0.956297304845692 [0.967742,0.914286,0.969697,0.967742,0.969697,0.933333,0.933333,0.971429,1,0.933333] f_measure 0.9508218125960062 [1,0.9375,0.857143,1,0.875,0.941176,1,0.967742,0.933333,1] f_measure 0.9623757535253721 [0.967742,0.941176,0.941176,0.933333,0.967742,0.969697,1,1,0.967742,0.933333] f_measure 0.9558537007463488 [0.969697,0.933333,0.944444,1,0.9375,0.969697,0.909091,0.933333,0.965517,1] f_measure 0.9498023750967274 [1,0.875,0.914286,0.933333,0.909091,0.969697,0.967742,0.969697,0.965517,1] f_measure 0.9622016792363918 [1,0.9375,1,0.965517,0.969697,0.941176,0.933333,1,0.933333,0.9375] f_measure 0.9747741476822623 [1,0.965517,0.969697,0.969697,0.941176,0.967742,1,1,1,0.933333] f_measure 0.9679643450364153 [1,0.888889,0.969697,1,0.9375,1,0.941176,0.967742,1,0.969697] f_measure 0.942945681793878 [0.967742,0.896552,0.914286,0.969697,0.928571,0.903226,0.969697,1,0.909091,0.969697] kappa 0.9444444444444444 kappa 0.9513825584928594 kappa 0.9444396214949213 kappa 0.9580696202531646 kappa 0.9510704708313185 kappa 0.9440829963073677 kappa 0.9580640907292628 kappa 0.9720451848270406 kappa 0.9650534089410524 kappa 0.9370989010989011 kb_relative_information_score 0.9476760406243586 kb_relative_information_score 0.9542419174940548 kb_relative_information_score 0.9477315711525763 kb_relative_information_score 0.9604618304351301 kb_relative_information_score 0.9539380623202736 kb_relative_information_score 0.9473404696515213 kb_relative_information_score 0.9604026146666191 kb_relative_information_score 0.9735654393323281 kb_relative_information_score 0.9670765859578994 kb_relative_information_score 0.9407963649098625 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.008749999999999999 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.007547169811320755 mean_absolute_error 0.00880503144654088 mean_absolute_error 0.010062893081761006 mean_absolute_error 0.007547169811320755 mean_absolute_error 0.005031446540880504 mean_absolute_error 0.006289308176100629 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 0.9503186274509805 [1,0.9375,0.9375,0.941176,0.875,1,0.933333,0.941176,1,0.9375] precision 0.9602930426556588 [1,0.842105,0.941176,1,0.941176,1,1,0.944444,1,0.933333] precision 0.9539473684210528 [1,0.9375,0.789474,1,0.875,0.941176,1,1,1,1] precision 0.9654293583261397 [1,0.888889,0.888889,1,1,0.941176,1,1,1,0.933333] precision 0.9587787448643809 [0.941176,1,0.894737,1,0.9375,0.941176,0.882353,1,1,1] precision 0.9518641838286679 [1,0.875,0.888889,1,0.882353,0.941176,1,0.941176,1,1] precision 0.9640317342870063 [1,0.9375,1,1,0.941176,0.888889,0.933333,1,1,0.9375] precision 0.976980309943684 [1,1,0.941176,0.941176,0.888889,1,1,1,1,1] precision 0.9706910017675834 [1,1,0.941176,1,0.9375,1,0.888889,1,1,0.941176] precision 0.9478058817038898 [1,1,0.842105,0.941176,1,0.933333,0.941176,1,0.882353,0.941176] predictive_accuracy 0.95 predictive_accuracy 0.95625 predictive_accuracy 0.95 predictive_accuracy 0.9622641509433962 predictive_accuracy 0.9559748427672956 predictive_accuracy 0.9496855345911949 predictive_accuracy 0.9622641509433962 predictive_accuracy 0.9748427672955975 predictive_accuracy 0.9685534591194969 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 0.95 [0.9375,0.9375,0.9375,1,0.875,1,0.875,1,1,0.9375] recall 0.95625 [0.9375,1,1,0.9375,1,0.875,0.875,1,1,0.933333] recall 0.95 [1,0.9375,0.9375,1,0.875,0.941176,1,0.9375,0.875,1] recall 0.9622641509433962 [0.9375,1,1,0.875,0.9375,1,1,1,0.9375,0.933333] recall 0.9559748427672956 [1,0.875,1,1,0.9375,1,0.9375,0.875,0.933333,1] recall 0.949685534591195 [1,0.875,0.941176,0.875,0.9375,1,0.9375,1,0.933333,1] recall 0.9622641509433962 [1,0.9375,1,0.933333,1,1,0.933333,1,0.875,0.9375] recall 0.9748427672955975 [1,0.933333,1,1,1,0.9375,1,1,1,0.875] recall 0.9685534591194969 [1,0.8,1,1,0.9375,1,1,0.9375,1,1] recall 0.9433962264150944 [0.9375,0.8125,1,1,0.866667,0.875,1,1,0.9375,1] relative_absolute_error 0.055555555555555663 relative_absolute_error 0.048612374689159896 relative_absolute_error 0.05555699964475416 relative_absolute_error 0.04192950716045086 relative_absolute_error 0.048918611393271555 relative_absolute_error 0.055906984449453204 relative_absolute_error 0.0419291415816939 relative_absolute_error 0.02795263919647067 relative_absolute_error 0.034940798995588336 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 0.09999999999999999 root_mean_squared_error 0.09354143466934853 root_mean_squared_error 0.09999999999999999 root_mean_squared_error 0.08687444855261388 root_mean_squared_error 0.09383512906444409 root_mean_squared_error 0.10031397251510382 root_mean_squared_error 0.08687444855261388 root_mean_squared_error 0.07093269021319087 root_mean_squared_error 0.07930515857181442 root_mean_squared_error 0.1063990353197863 root_relative_squared_error 0.33333058759716194 root_relative_squared_error 0.31181031866572867 root_relative_squared_error 0.3333392520308458 root_relative_squared_error 0.28958453817901475 root_relative_squared_error 0.3127925048820623 root_relative_squared_error 0.3343892532627121 root_relative_squared_error 0.28958201332857986 root_relative_squared_error 0.23644169303529974 root_relative_squared_error 0.26434984917103443 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 806.9764910032973 usercpu_time_millis 806.0111079976195 usercpu_time_millis 815.2264329983154 usercpu_time_millis 830.3105419909116 usercpu_time_millis 833.789575000992 usercpu_time_millis 834.7864200040931 usercpu_time_millis 825.1546359970234 usercpu_time_millis 823.3284179877955 usercpu_time_millis 823.0359009903623 usercpu_time_millis 819.4035990018165 usercpu_time_millis_testing 79.25869300379418 usercpu_time_millis_testing 80.57860100234393 usercpu_time_millis_testing 77.44260199251585 usercpu_time_millis_testing 81.49225199304055 usercpu_time_millis_testing 79.95789700362366 usercpu_time_millis_testing 77.89249799679965 usercpu_time_millis_testing 77.43187800224405 usercpu_time_millis_testing 77.38593399699312 usercpu_time_millis_testing 79.62277399201412 usercpu_time_millis_testing 78.48532199568581 usercpu_time_millis_training 727.7177979995031 usercpu_time_millis_training 725.4325069952756 usercpu_time_millis_training 737.7838310057996 usercpu_time_millis_training 748.818289997871 usercpu_time_millis_training 753.8316779973684 usercpu_time_millis_training 756.8939220072934 usercpu_time_millis_training 747.7227579947794 usercpu_time_millis_training 745.9424839908024 usercpu_time_millis_training 743.4131269983482 usercpu_time_millis_training 740.9182770061307 wall_clock_time_millis 1042.898416519165 wall_clock_time_millis 806.100606918335 wall_clock_time_millis 887.3326778411865 wall_clock_time_millis 910.4156494140625 wall_clock_time_millis 833.8642120361328 wall_clock_time_millis 918.860673904419 wall_clock_time_millis 969.2165851593018 wall_clock_time_millis 919.3816184997559 wall_clock_time_millis 1015.1090621948242 wall_clock_time_millis 819.4756507873535 wall_clock_time_millis_testing 79.27584648132324 wall_clock_time_millis_testing 80.59573173522949 wall_clock_time_millis_testing 77.46267318725586 wall_clock_time_millis_testing 93.50728988647461 wall_clock_time_millis_testing 79.97536659240723 wall_clock_time_millis_testing 77.91018486022949 wall_clock_time_millis_testing 77.45051383972168 wall_clock_time_millis_testing 77.40283012390137 wall_clock_time_millis_testing 79.63824272155762 wall_clock_time_millis_testing 78.50122451782227 wall_clock_time_millis_training 963.6225700378418 wall_clock_time_millis_training 725.5048751831055 wall_clock_time_millis_training 809.8700046539307 wall_clock_time_millis_training 816.9083595275879 wall_clock_time_millis_training 753.8888454437256 wall_clock_time_millis_training 840.9504890441895 wall_clock_time_millis_training 891.7660713195801 wall_clock_time_millis_training 841.9787883758545 wall_clock_time_millis_training 935.4708194732666 wall_clock_time_millis_training 740.9744262695312