10329875 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) 8185490 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 4561.608473484532 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.01239605662592219 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 41828 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 21581447 description https://api.openml.org/data/download/21581447/description.xml -1 21581448 predictions https://api.openml.org/data/download/21581448/predictions.arff area_under_roc_curve 0.9616689858406576 [0.959278,0.940685,0.962905,0.960521,0.946896,0.971314,0.984981,0.956173,0.96908,0.964806] average_cost 0 f_measure 0.9317882737152713 [0.954839,0.853731,0.937888,0.945338,0.922581,0.941538,0.965732,0.951456,0.949045,0.893617] kappa 0.9232789650037718 kb_relative_information_score 0.9278050419754625 mean_absolute_error 0.013810420590081578 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9346541870434322 [0.993289,0.80791,0.94375,0.967105,0.94702,0.932927,0.95679,0.993243,0.955128,0.844828] predictive_accuracy 0.930947897049592 prior_entropy 3.3218194939376526 recall 0.9309478970495919 [0.919255,0.905063,0.932099,0.924528,0.899371,0.950311,0.974843,0.913043,0.943038,0.948387] relative_absolute_error 0.07672583079763409 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.11751774585177159 root_relative_squared_error 0.3917290868257384 total_cost 0 area_under_roc_curve 0.9722222222222223 [0.96875,0.961806,0.9375,0.993056,0.934028,1,0.965278,1,0.965278,0.996528] area_under_roc_curve 0.972294061302682 [0.96875,0.986111,0.996528,0.9375,1,0.9375,0.96875,0.970588,1,0.956322] area_under_roc_curve 0.9548125485625485 [0.96875,0.920139,0.961806,0.996528,0.895833,0.963595,0.96875,0.9375,0.96875,0.966667] area_under_roc_curve 0.951146076146076 [0.90625,0.961757,0.965253,0.902753,0.96875,0.95826,0.996503,0.934003,0.965253,0.952778] area_under_roc_curve 0.9616113053613055 [0.965253,0.95826,0.941176,0.96875,0.96875,0.993007,0.993007,0.84375,1,0.989583] area_under_roc_curve 0.9755484148089782 [1,0.95826,0.937655,0.96875,0.934003,1,1,1,0.966667,0.993056] area_under_roc_curve 0.9440802253302255 [0.941176,0.947771,0.9375,0.9,0.902753,0.993007,0.996528,0.96875,0.930507,0.923514] area_under_roc_curve 0.9720765345765345 [1,0.926389,0.996503,1,0.996503,0.965253,0.96875,0.9375,1,0.92701] area_under_roc_curve 0.9650835275835276 [0.96875,0.893056,0.96875,0.96875,0.934003,0.996503,0.993007,0.96875,1,0.954764] area_under_roc_curve 0.9475524475524476 [0.90625,0.888767,0.98951,0.965253,0.933333,0.90625,1,1,0.89576,0.98951] 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 0.9499265424644932 [0.967742,0.909091,0.933333,0.941176,0.903226,1,0.9375,1,0.9375,0.969697] f_measure 0.9511351926523297 [0.967742,0.888889,0.969697,0.933333,1,0.933333,0.967742,0.969697,1,0.875] f_measure 0.92044480037945 [0.967742,0.8,0.909091,0.969697,0.8125,0.914286,0.967742,0.933333,0.967742,0.965517] f_measure 0.912279899185809 [0.896552,0.909091,0.9375,0.866667,0.967742,0.882353,0.969697,0.903226,0.9375,0.848485] f_measure 0.9296474007957963 [0.9375,0.882353,0.9375,0.967742,0.967742,0.941176,0.941176,0.814815,1,0.909091] f_measure 0.9563077673272099 [1,0.882353,0.909091,0.967742,0.903226,1,1,1,0.965517,0.9375] f_measure 0.901126417760713 [0.9375,0.810811,0.933333,0.888889,0.866667,0.941176,0.967742,0.967742,0.875,0.823529] f_measure 0.9498318547618607 [1,0.866667,0.969697,1,0.969697,0.9375,0.967742,0.933333,1,0.848485] f_measure 0.9376676140659801 [0.967742,0.827586,0.967742,0.967742,0.903226,0.969697,0.941176,0.967742,1,0.857143] f_measure 0.9063563746904096 [0.896552,0.764706,0.914286,0.9375,0.928571,0.896552,1,1,0.8125,0.914286] kappa 0.9444444444444444 kappa 0.9444468556052255 kappa 0.909706546275395 kappa 0.9021753460777852 kappa 0.9231377719182597 kappa 0.951081223628692 kappa 0.8881758241758242 kappa 0.9440928270042194 kappa 0.9301129620676014 kappa 0.8951648351648351 kb_relative_information_score 0.9477668812508057 kb_relative_information_score 0.9477309110111676 kb_relative_information_score 0.9150254579712538 kb_relative_information_score 0.9079870601288529 kb_relative_information_score 0.9278497914467008 kb_relative_information_score 0.9539831251091127 kb_relative_information_score 0.8947047377710006 kb_relative_information_score 0.9472842044387287 kb_relative_information_score 0.9341823325391772 kb_relative_information_score 0.9013675715149528 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.01625 mean_absolute_error 0.017610062893081764 mean_absolute_error 0.013836477987421382 mean_absolute_error 0.00880503144654088 mean_absolute_error 0.020125786163522015 mean_absolute_error 0.010062893081761006 mean_absolute_error 0.012578616352201257 mean_absolute_error 0.01886792452830189 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 0.9520751633986929 [1,0.882353,1,0.888889,0.933333,1,0.9375,1,0.9375,0.941176] precision 0.9575735294117648 [1,0.8,0.941176,1,1,1,1,1,1,0.823529] precision 0.9254815961472309 [1,0.736842,0.882353,0.941176,0.8125,0.888889,1,1,1,1] precision 0.9180311118157954 [1,0.882353,0.9375,0.928571,1,0.833333,0.941176,0.933333,0.9375,0.777778] precision 0.9388539482879107 [0.9375,0.833333,1,1,1,0.888889,0.888889,1,1,0.833333] precision 0.9587387470711555 [1,0.833333,0.9375,1,0.933333,1,1,1,1,0.882353] precision 0.912043276430069 [1,0.714286,1,1,0.928571,0.888889,0.9375,1,0.875,0.777778] precision 0.9515353311135776 [1,0.866667,0.941176,1,0.941176,0.9375,1,1,1,0.823529] precision 0.9415289364118149 [1,0.857143,1,1,0.933333,0.941176,0.888889,1,1,0.789474] precision 0.9151127294126302 [1,0.722222,0.842105,0.9375,1,1,1,1,0.8125,0.842105] predictive_accuracy 0.95 predictive_accuracy 0.95 predictive_accuracy 0.91875 predictive_accuracy 0.9119496855345912 predictive_accuracy 0.9308176100628931 predictive_accuracy 0.9559748427672956 predictive_accuracy 0.89937106918239 predictive_accuracy 0.9496855345911949 predictive_accuracy 0.9371069182389937 predictive_accuracy 0.9056603773584905 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 [0.9375,0.9375,0.875,1,0.875,1,0.9375,1,0.9375,1] recall 0.95 [0.9375,1,1,0.875,1,0.875,0.9375,0.941176,1,0.933333] recall 0.91875 [0.9375,0.875,0.9375,1,0.8125,0.941176,0.9375,0.875,0.9375,0.933333] recall 0.9119496855345912 [0.8125,0.9375,0.9375,0.8125,0.9375,0.9375,1,0.875,0.9375,0.933333] recall 0.9308176100628931 [0.9375,0.9375,0.882353,0.9375,0.9375,1,1,0.6875,1,1] recall 0.9559748427672956 [1,0.9375,0.882353,0.9375,0.875,1,1,1,0.933333,1] recall 0.89937106918239 [0.882353,0.9375,0.875,0.8,0.8125,1,1,0.9375,0.875,0.875] recall 0.949685534591195 [1,0.866667,1,1,1,0.9375,0.9375,0.875,1,0.875] recall 0.9371069182389937 [0.9375,0.8,0.9375,0.9375,0.875,1,1,0.9375,1,0.9375] recall 0.9056603773584906 [0.8125,0.8125,1,0.9375,0.866667,0.8125,1,1,0.8125,1] relative_absolute_error 0.055555555555555663 relative_absolute_error 0.05555699964475416 relative_absolute_error 0.09028012442272554 relative_absolute_error 0.09783551670771867 relative_absolute_error 0.07687210361799815 relative_absolute_error 0.048918611393271555 relative_absolute_error 0.1118110442178504 relative_absolute_error 0.05590527839294133 relative_absolute_error 0.06988159799117666 relative_absolute_error 0.10482194002327945 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 0.09999999999999999 root_mean_squared_error 0.12747548783981963 root_mean_squared_error 0.13270291214996663 root_mean_squared_error 0.11762855940383433 root_mean_squared_error 0.09383512906444409 root_mean_squared_error 0.14186538042638175 root_mean_squared_error 0.10031397251510382 root_mean_squared_error 0.11215443081840885 root_mean_squared_error 0.13736056394868904 root_relative_squared_error 0.33333058759716194 root_relative_squared_error 0.3333392520308458 root_relative_squared_error 0.4249258376879266 root_relative_squared_error 0.44234768876472147 root_relative_squared_error 0.39210615585475334 root_relative_squared_error 0.3127925048820623 root_relative_squared_error 0.4728854475619053 root_relative_squared_error 0.33437904900097704 root_relative_squared_error 0.3738471419089589 root_relative_squared_error 0.45786537373313124 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 1919.8953709856141 usercpu_time_millis 1922.9125889978604 usercpu_time_millis 1922.8127599926665 usercpu_time_millis 1926.2605169933522 usercpu_time_millis 1925.3804159961874 usercpu_time_millis 1915.7999160088366 usercpu_time_millis 1909.9937150167534 usercpu_time_millis 1915.0651909876615 usercpu_time_millis 1918.9287360059097 usercpu_time_millis 1933.4701460029464 usercpu_time_millis_testing 104.04087298957165 usercpu_time_millis_testing 103.79857699444983 usercpu_time_millis_testing 104.40830999868922 usercpu_time_millis_testing 103.36444299900904 usercpu_time_millis_testing 105.74829099641647 usercpu_time_millis_testing 103.30175900890026 usercpu_time_millis_testing 103.36459100653883 usercpu_time_millis_testing 103.72020199429244 usercpu_time_millis_testing 103.07016799924895 usercpu_time_millis_testing 102.8940770047484 usercpu_time_millis_training 1815.8544979960425 usercpu_time_millis_training 1819.1140120034106 usercpu_time_millis_training 1818.4044499939773 usercpu_time_millis_training 1822.8960739943432 usercpu_time_millis_training 1819.632124999771 usercpu_time_millis_training 1812.4981569999363 usercpu_time_millis_training 1806.6291240102146 usercpu_time_millis_training 1811.344988993369 usercpu_time_millis_training 1815.8585680066608 usercpu_time_millis_training 1830.576068998198 wall_clock_time_millis 2184.072494506836 wall_clock_time_millis 2095.1340198516846 wall_clock_time_millis 2114.992618560791 wall_clock_time_millis 2190.4330253601074 wall_clock_time_millis 2208.425521850586 wall_clock_time_millis 2043.992042541504 wall_clock_time_millis 2194.225072860718 wall_clock_time_millis 2207.3330879211426 wall_clock_time_millis 2155.412435531616 wall_clock_time_millis 2208.712577819824 wall_clock_time_millis_testing 104.06064987182617 wall_clock_time_millis_testing 103.81722450256348 wall_clock_time_millis_testing 104.42805290222168 wall_clock_time_millis_testing 103.38234901428223 wall_clock_time_millis_testing 105.76581954956055 wall_clock_time_millis_testing 103.32059860229492 wall_clock_time_millis_testing 103.39903831481934 wall_clock_time_millis_testing 135.7419490814209 wall_clock_time_millis_testing 103.09648513793945 wall_clock_time_millis_testing 102.91409492492676 wall_clock_time_millis_training 2080.0118446350098 wall_clock_time_millis_training 1991.316795349121 wall_clock_time_millis_training 2010.5645656585693 wall_clock_time_millis_training 2087.050676345825 wall_clock_time_millis_training 2102.6597023010254 wall_clock_time_millis_training 1940.671443939209 wall_clock_time_millis_training 2090.8260345458984 wall_clock_time_millis_training 2071.5911388397217 wall_clock_time_millis_training 2052.3159503936768 wall_clock_time_millis_training 2105.7984828948975