10329853 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) 8185468 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 17.978489384973518 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.023363824959116333 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 10713 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 21581403 description https://api.openml.org/data/download/21581403/description.xml -1 21581404 predictions https://api.openml.org/data/download/21581404/predictions.arff area_under_roc_curve 0.8947623177246463 [0.869565,0.889752,0.885802,0.898325,0.910555,0.969569,0.892036,0.903727,0.923702,0.801835] average_cost 0 f_measure 0.8372963309229771 [0.85,0.525773,0.87108,0.878893,0.891156,0.927273,0.87108,0.893471,0.914676,0.743083] kappa 0.7893763063120649 kb_relative_information_score 0.80159330292023 mean_absolute_error 0.0379158819836788 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9147317903516279 [1,0.360849,1,0.976923,0.97037,0.905325,0.976562,1,0.992593,0.959184] predictive_accuracy 0.810420590081607 prior_entropy 3.3218194939376526 recall 0.810420590081607 [0.73913,0.968354,0.771605,0.798742,0.823899,0.950311,0.786164,0.807453,0.848101,0.606452] relative_absolute_error 0.21064728091714247 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.1947200092021331 root_relative_squared_error 0.6490721110976881 total_cost 0 area_under_roc_curve 0.8958333333333333 [0.84375,0.878472,0.8125,0.965278,0.90625,0.989583,0.84375,1,0.90625,0.8125] area_under_roc_curve 0.8923850574712644 [0.90625,0.895833,0.875,0.8125,0.96875,0.9375,0.875,0.882353,0.90625,0.863218] area_under_roc_curve 0.892360776196983 [0.84375,0.847222,0.84375,0.934028,0.836806,0.93768,0.9375,0.90625,0.9375,0.896552] area_under_roc_curve 0.9125874125874127 [0.90625,0.93007,0.90625,0.871503,0.9375,0.95826,0.902753,0.90625,0.90625,0.9] area_under_roc_curve 0.87767094017094 [0.90625,0.895105,0.882353,0.90625,0.90625,0.961757,0.840253,0.78125,0.929861,0.763194] area_under_roc_curve 0.8881118881118881 [0.84375,0.874344,0.852941,0.90625,0.934003,0.98951,0.840253,0.84375,0.966667,0.833333] area_under_roc_curve 0.8951048951048951 [0.852941,0.902098,0.90625,0.866667,0.90625,0.996503,0.933333,0.96875,0.90625,0.715253] area_under_roc_curve 0.9027292152292151 [0.90625,0.876389,0.96875,0.9375,0.902753,0.965253,0.9375,0.90625,0.96875,0.65625] area_under_roc_curve 0.9062257187257188 [0.84375,0.909722,0.875,0.90625,0.9375,0.996503,0.9375,0.9375,0.96875,0.75] area_under_roc_curve 0.8846153846153847 [0.84375,0.888112,0.9375,0.875,0.866667,0.965253,0.875,0.90625,0.84375,0.84375] 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 0.8339296120126429 [0.814815,0.526316,0.769231,0.9375,0.896552,0.914286,0.814815,1,0.896552,0.769231] f_measure 0.8378546455089836 [0.896552,0.516129,0.857143,0.769231,0.967742,0.933333,0.857143,0.866667,0.896552,0.814815] f_measure 0.8324175036021533 [0.814815,0.5,0.814815,0.903226,0.758621,0.909091,0.933333,0.896552,0.933333,0.857143] f_measure 0.8598605276319693 [0.896552,0.615385,0.896552,0.827586,0.933333,0.882353,0.866667,0.896552,0.896552,0.888889] f_measure 0.8057298087234915 [0.896552,0.516129,0.866667,0.896552,0.896552,0.909091,0.785714,0.72,0.896552,0.666667] f_measure 0.8232584954113418 [0.814815,0.517241,0.827586,0.896552,0.903226,0.914286,0.785714,0.814815,0.965517,0.8] f_measure 0.8338994751339706 [0.827586,0.533333,0.896552,0.846154,0.896552,0.969697,0.928571,0.967742,0.896552,0.583333] f_measure 0.8405417716769953 [0.896552,0.509091,0.967742,0.933333,0.866667,0.9375,0.933333,0.896552,0.967742,0.47619] f_measure 0.8528148036025411 [0.814815,0.535714,0.857143,0.896552,0.933333,0.969697,0.933333,0.933333,0.967742,0.666667] f_measure 0.8271078688775501 [0.814815,0.5,0.933333,0.857143,0.846154,0.9375,0.857143,0.896552,0.814815,0.814815] kappa 0.7916666666666666 kappa 0.7847128781631149 kappa 0.7846941876112341 kappa 0.8252670447052618 kappa 0.7553523541565922 kappa 0.7763418172227351 kappa 0.7903204536463142 kappa 0.8045396672081486 kappa 0.8115286680129951 kappa 0.7693423597678918 kb_relative_information_score 0.803781834945794 kb_relative_information_score 0.7973886038812459 kb_relative_information_score 0.7975094101729167 kb_relative_information_score 0.8355678388438993 kb_relative_information_score 0.7696675510777865 kb_relative_information_score 0.7895527463048508 kb_relative_information_score 0.8022655193372984 kb_relative_information_score 0.8152640678638732 kb_relative_information_score 0.822180811615302 kb_relative_information_score 0.7827891209107319 mean_absolute_error 0.03750000000000002 mean_absolute_error 0.03875000000000002 mean_absolute_error 0.03875000000000002 mean_absolute_error 0.03144654088050316 mean_absolute_error 0.04402515723270443 mean_absolute_error 0.040251572327044044 mean_absolute_error 0.03773584905660379 mean_absolute_error 0.035220125786163535 mean_absolute_error 0.03396226415094341 mean_absolute_error 0.04150943396226417 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 0.914545892169448 [1,0.365854,1,0.9375,1,0.842105,1,1,1,1] precision 0.9269701086956521 [1,0.347826,1,1,1,1,1,1,1,0.916667] precision 0.8990965544871793 [1,0.35,1,0.933333,0.846154,0.9375,1,1,1,0.923077] precision 0.9123950822064029 [1,0.444444,1,0.923077,1,0.833333,0.928571,1,1,1] precision 0.8969272696773543 [1,0.347826,1,1,1,0.882353,0.916667,1,0.928571,0.888889] precision 0.9043268548730318 [1,0.357143,1,1,0.933333,0.842105,0.916667,1,1,1] precision 0.9174654424376955 [1,0.363636,1,1,1,0.941176,1,1,1,0.875] precision 0.9252021563342319 [1,0.35,1,1,0.928571,0.9375,1,1,1,1] precision 0.9342555245752237 [1,0.365854,1,1,1,0.941176,1,1,1,1] precision 0.9266247379454925 [1,0.333333,1,1,1,0.9375,1,1,1,1] predictive_accuracy 0.8125 predictive_accuracy 0.80625 predictive_accuracy 0.80625 predictive_accuracy 0.8427672955974843 predictive_accuracy 0.779874213836478 predictive_accuracy 0.7987421383647799 predictive_accuracy 0.8113207547169812 predictive_accuracy 0.8238993710691824 predictive_accuracy 0.8301886792452831 predictive_accuracy 0.7924528301886792 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 0.8125 [0.6875,0.9375,0.625,0.9375,0.8125,1,0.6875,1,0.8125,0.625] recall 0.80625 [0.8125,1,0.75,0.625,0.9375,0.875,0.75,0.764706,0.8125,0.733333] recall 0.80625 [0.6875,0.875,0.6875,0.875,0.6875,0.882353,0.875,0.8125,0.875,0.8] recall 0.8427672955974843 [0.8125,1,0.8125,0.75,0.875,0.9375,0.8125,0.8125,0.8125,0.8] recall 0.779874213836478 [0.8125,1,0.764706,0.8125,0.8125,0.9375,0.6875,0.5625,0.866667,0.533333] recall 0.7987421383647799 [0.6875,0.9375,0.705882,0.8125,0.875,1,0.6875,0.6875,0.933333,0.666667] recall 0.8113207547169812 [0.705882,1,0.8125,0.733333,0.8125,1,0.866667,0.9375,0.8125,0.4375] recall 0.8238993710691824 [0.8125,0.933333,0.9375,0.875,0.8125,0.9375,0.875,0.8125,0.9375,0.3125] recall 0.8301886792452831 [0.6875,1,0.75,0.8125,0.875,1,0.875,0.875,0.9375,0.5] recall 0.7924528301886793 [0.6875,1,0.875,0.75,0.733333,0.9375,0.75,0.8125,0.6875,0.6875] relative_absolute_error 0.20833333333333384 relative_absolute_error 0.21528337362342254 relative_absolute_error 0.21528337362342254 relative_absolute_error 0.17470627983521198 relative_absolute_error 0.2445930569663579 relative_absolute_error 0.22362793779781293 relative_absolute_error 0.20964570790846956 relative_absolute_error 0.19566847437529472 relative_absolute_error 0.18868031457617707 relative_absolute_error 0.23060826805121487 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 0.1936491673103709 root_mean_squared_error 0.19685019685029534 root_mean_squared_error 0.19685019685029534 root_mean_squared_error 0.1773317255329772 root_mean_squared_error 0.2098217272655633 root_mean_squared_error 0.2006279450302077 root_mean_squared_error 0.19425717247145288 root_mean_squared_error 0.1876702581288882 root_mean_squared_error 0.1842885350501854 root_mean_squared_error 0.20373864130857497 root_relative_squared_error 0.6454919072726706 root_relative_squared_error 0.6561789738020221 root_relative_squared_error 0.6561789738020221 root_relative_squared_error 0.5911119632817503 root_relative_squared_error 0.6994253037687264 root_relative_squared_error 0.6687785065254244 root_relative_squared_error 0.647525066863955 root_relative_squared_error 0.6255659193384758 root_relative_squared_error 0.6142935380471153 root_relative_squared_error 0.6791240983946278 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 1908.415274010622 usercpu_time_millis 1916.8538010126213 usercpu_time_millis 1915.6316820008215 usercpu_time_millis 1914.593697001692 usercpu_time_millis 1918.4044169960544 usercpu_time_millis 1915.9525069990195 usercpu_time_millis 1922.7992589876521 usercpu_time_millis 1931.0240520135267 usercpu_time_millis 1932.417969990638 usercpu_time_millis 1925.886465003714 usercpu_time_millis_testing 105.39764699933585 usercpu_time_millis_testing 105.57972300739493 usercpu_time_millis_testing 105.21920000610407 usercpu_time_millis_testing 108.82891100482084 usercpu_time_millis_testing 107.27713399683125 usercpu_time_millis_testing 107.72706300485879 usercpu_time_millis_testing 104.62144399934914 usercpu_time_millis_testing 106.52202200435568 usercpu_time_millis_testing 105.01505198772065 usercpu_time_millis_testing 107.85282199503854 usercpu_time_millis_training 1803.017627011286 usercpu_time_millis_training 1811.2740780052263 usercpu_time_millis_training 1810.4124819947174 usercpu_time_millis_training 1805.764785996871 usercpu_time_millis_training 1811.127282999223 usercpu_time_millis_training 1808.2254439941607 usercpu_time_millis_training 1818.177814988303 usercpu_time_millis_training 1824.502030009171 usercpu_time_millis_training 1827.4029180029174 usercpu_time_millis_training 1818.0336430086754 wall_clock_time_millis 2300.59552192688 wall_clock_time_millis 2221.252202987671 wall_clock_time_millis 2035.8147621154785 wall_clock_time_millis 1962.761402130127 wall_clock_time_millis 1982.5561046600342 wall_clock_time_millis 1964.1132354736328 wall_clock_time_millis 2058.9568614959717 wall_clock_time_millis 2051.2068271636963 wall_clock_time_millis 2040.5805110931396 wall_clock_time_millis 2286.100387573242 wall_clock_time_millis_testing 105.41892051696777 wall_clock_time_millis_testing 105.59940338134766 wall_clock_time_millis_testing 105.2393913269043 wall_clock_time_millis_testing 108.84761810302734 wall_clock_time_millis_testing 123.29363822937012 wall_clock_time_millis_testing 107.74564743041992 wall_clock_time_millis_testing 104.64239120483398 wall_clock_time_millis_testing 106.54067993164062 wall_clock_time_millis_testing 105.03482818603516 wall_clock_time_millis_testing 107.87320137023926 wall_clock_time_millis_training 2195.176601409912 wall_clock_time_millis_training 2115.6527996063232 wall_clock_time_millis_training 1930.5753707885742 wall_clock_time_millis_training 1853.9137840270996 wall_clock_time_millis_training 1859.262466430664 wall_clock_time_millis_training 1856.367588043213 wall_clock_time_millis_training 1954.3144702911377 wall_clock_time_millis_training 1944.6661472320557 wall_clock_time_millis_training 1935.5456829071045 wall_clock_time_millis_training 2178.227186203003