10329978 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) 8185592 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 0.10358044072810794 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.1587816891292324 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 1.4548783448559142 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 15075 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 21581653 description https://api.openml.org/data/download/21581653/description.xml -1 21581654 predictions https://api.openml.org/data/download/21581654/predictions.arff area_under_roc_curve 0.9333977014159447 [0.944099,0.847056,0.969078,0.960172,0.960876,0.925466,0.944909,0.953067,0.958861,0.867394] average_cost 0 f_measure 0.8905444643797751 [0.940789,0.811808,0.944444,0.942308,0.925,0.919463,0.668067,0.948052,0.957096,0.844444] kappa 0.8667698599665461 kb_relative_information_score 0.8743904792177986 mean_absolute_error 0.023979912115505337 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9284615384566444 [1,0.973451,0.944444,0.960784,0.919255,1,0.501577,0.993197,1,0.991304] predictive_accuracy 0.8801004394224734 prior_entropy 3.3218194939376526 recall 0.8801004394224733 [0.888199,0.696203,0.944444,0.924528,0.930818,0.850932,1,0.906832,0.917722,0.735484] relative_absolute_error 0.1332239425668013 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.15485448690788825 root_relative_squared_error 0.5161859284112609 total_cost 0 area_under_roc_curve 0.951388888888889 [0.96875,0.875,0.9375,0.996528,0.934028,0.96875,0.958333,1,1,0.875] area_under_roc_curve 0.9305555555555556 [0.96875,0.809028,0.996528,0.875,1,0.90625,0.9375,0.970588,0.9375,0.9] area_under_roc_curve 0.9375 [0.9375,0.875,0.965278,0.996528,0.927083,0.911765,0.954861,0.90625,0.96875,0.933333] area_under_roc_curve 0.9230769230769231 [0.9375,0.8125,0.961757,0.899257,0.965253,0.96875,0.944056,0.934003,0.9375,0.866667] area_under_roc_curve 0.9195804195804196 [0.96875,0.8125,0.941176,0.96875,0.98951,0.90625,0.93007,0.84375,0.966667,0.866667] area_under_roc_curve 0.9510243277848913 [0.96875,0.90625,0.996479,0.96875,0.996503,0.90625,0.958042,0.96875,0.933333,0.9] area_under_roc_curve 0.9374271561771562 [0.970588,0.871503,0.96875,0.966667,0.934003,0.90625,0.947917,0.96875,0.9375,0.902753] area_under_roc_curve 0.9475524475524476 [0.9375,0.9,0.996503,0.996503,0.996503,0.9375,0.958042,0.96875,1,0.78125] area_under_roc_curve 0.9231012043512044 [0.9375,0.796528,0.934003,0.96875,0.965253,1,0.933566,0.96875,0.96875,0.75] area_under_roc_curve 0.9126116938616938 [0.84375,0.8125,0.993007,0.965253,0.896528,0.84375,0.926573,1,0.9375,0.90625] 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 0.91832984220081 [0.967742,0.857143,0.933333,0.969697,0.903226,0.967742,0.727273,1,1,0.857143] f_measure 0.8868843924172067 [0.967742,0.740741,0.969697,0.857143,1,0.896552,0.64,0.969697,0.933333,0.888889] f_measure 0.8951775913031474 [0.933333,0.857143,0.9375,0.969697,0.848485,0.903226,0.711111,0.896552,0.967742,0.928571] f_measure 0.8706517395500962 [0.933333,0.769231,0.909091,0.83871,0.9375,0.967742,0.666667,0.903226,0.933333,0.846154] f_measure 0.8694628330449228 [0.967742,0.769231,0.9375,0.967742,0.914286,0.896552,0.615385,0.814815,0.965517,0.846154] f_measure 0.9186727905870768 [0.967742,0.896552,0.971429,0.967742,0.969697,0.896552,0.727273,0.967742,0.928571,0.888889] f_measure 0.8979444581182361 [0.969697,0.827586,0.967742,0.965517,0.903226,0.896552,0.666667,0.967742,0.933333,0.866667] f_measure 0.9080860952802524 [0.933333,0.888889,0.969697,0.969697,0.969697,0.933333,0.727273,0.967742,1,0.72] f_measure 0.8700782483819253 [0.933333,0.72,0.903226,0.967742,0.9375,1,0.627451,0.967742,0.967742,0.666667] f_measure 0.8568318933732819 [0.814815,0.769231,0.941176,0.9375,0.857143,0.814815,0.603774,1,0.933333,0.896552] kappa 0.9027777777777778 kappa 0.8610869942698385 kappa 0.8749945744172923 kappa 0.8462282398452612 kappa 0.8392315470171892 kappa 0.9021280337671475 kappa 0.8742806940478806 kappa 0.8951602268231571 kappa 0.8462214797555722 kappa 0.8252747252747253 kb_relative_information_score 0.9082799820495333 kb_relative_information_score 0.8690257815936415 kb_relative_information_score 0.882348980433913 kb_relative_information_score 0.8550254179144219 kb_relative_information_score 0.8486140955923699 kb_relative_information_score 0.9077367076372878 kb_relative_information_score 0.8814493120981023 kb_relative_information_score 0.9009502956719131 kb_relative_information_score 0.8547865963877928 kb_relative_information_score 0.8354583117287939 mean_absolute_error 0.0175 mean_absolute_error 0.025000000000000005 mean_absolute_error 0.022500000000000006 mean_absolute_error 0.027672955974842775 mean_absolute_error 0.0289308176100629 mean_absolute_error 0.017610062893081764 mean_absolute_error 0.02264150943396227 mean_absolute_error 0.01886792452830189 mean_absolute_error 0.027672955974842775 mean_absolute_error 0.03144654088050316 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 0.944593837535014 [1,1,1,0.941176,0.933333,1,0.571429,1,1,1] precision 0.9320855614973261 [1,0.909091,0.941176,1,1,1,0.470588,1,1,1] precision 0.9253930020283976 [1,1,0.9375,0.941176,0.823529,1,0.551724,1,1,1] precision 0.9114317425083241 [1,1,0.882353,0.866667,0.9375,1,0.5,0.933333,1,1] precision 0.9282062598845122 [1,1,1,1,0.842105,1,0.444444,1,1,1] precision 0.9450140643259402 [1,1,0.944444,1,0.941176,1,0.571429,1,1,1] precision 0.9311931255327482 [1,0.923077,1,1,0.933333,1,0.5,1,1,0.928571] precision 0.9391152687490091 [1,1,0.941176,0.941176,0.941176,1,0.571429,1,1,1] precision 0.9229410002994909 [1,0.9,0.933333,1,0.9375,1,0.457143,1,1,1] precision 0.9181590879704088 [1,1,0.888889,0.9375,0.923077,1,0.432432,1,1,1] predictive_accuracy 0.9125 predictive_accuracy 0.875 predictive_accuracy 0.8875 predictive_accuracy 0.8616352201257861 predictive_accuracy 0.8553459119496856 predictive_accuracy 0.9119496855345912 predictive_accuracy 0.8867924528301887 predictive_accuracy 0.9056603773584905 predictive_accuracy 0.8616352201257861 predictive_accuracy 0.8427672955974843 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 0.9125 [0.9375,0.75,0.875,1,0.875,0.9375,1,1,1,0.75] recall 0.875 [0.9375,0.625,1,0.75,1,0.8125,1,0.941176,0.875,0.8] recall 0.8875 [0.875,0.75,0.9375,1,0.875,0.823529,1,0.8125,0.9375,0.866667] recall 0.8616352201257862 [0.875,0.625,0.9375,0.8125,0.9375,0.9375,1,0.875,0.875,0.733333] recall 0.8553459119496856 [0.9375,0.625,0.882353,0.9375,1,0.8125,1,0.6875,0.933333,0.733333] recall 0.9119496855345912 [0.9375,0.8125,1,0.9375,1,0.8125,1,0.9375,0.866667,0.8] recall 0.8867924528301887 [0.941176,0.75,0.9375,0.933333,0.875,0.8125,1,0.9375,0.875,0.8125] recall 0.9056603773584906 [0.875,0.8,1,1,1,0.875,1,0.9375,1,0.5625] recall 0.8616352201257862 [0.875,0.6,0.875,0.9375,0.9375,1,1,0.9375,0.9375,0.5] recall 0.8427672955974843 [0.6875,0.625,1,0.9375,0.8,0.6875,1,1,0.875,0.8125] relative_absolute_error 0.09722222222222243 relative_absolute_error 0.13889249911188548 relative_absolute_error 0.12500324920069691 relative_absolute_error 0.1537415262549865 relative_absolute_error 0.16073258029217802 relative_absolute_error 0.09783722278654311 relative_absolute_error 0.1257874247450817 relative_absolute_error 0.104822396986765 relative_absolute_error 0.15373951558058868 relative_absolute_error 0.17470323337213248 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 0.13228756555322954 root_mean_squared_error 0.15811388300841897 root_mean_squared_error 0.15000000000000002 root_mean_squared_error 0.1663519040313118 root_mean_squared_error 0.1700906158788982 root_mean_squared_error 0.13270291214996663 root_mean_squared_error 0.15047095877265576 root_mean_squared_error 0.13736056394868904 root_mean_squared_error 0.1663519040313118 root_mean_squared_error 0.1773317255329772 root_relative_squared_error 0.4409549195765608 root_relative_squared_error 0.5270556349771904 root_relative_squared_error 0.5000088780462688 root_relative_squared_error 0.5545121736793779 root_relative_squared_error 0.5669845646096404 root_relative_squared_error 0.44235540261286505 root_relative_squared_error 0.5015707600431881 root_relative_squared_error 0.45786736973740105 root_relative_squared_error 0.5545049216460518 root_relative_squared_error 0.5911016557578175 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 1736.5330659959 usercpu_time_millis 1727.4441180052236 usercpu_time_millis 1757.6891599892406 usercpu_time_millis 1753.352846004418 usercpu_time_millis 1767.0949340099469 usercpu_time_millis 1772.2894600155996 usercpu_time_millis 1725.8636910119094 usercpu_time_millis 1732.9789140057983 usercpu_time_millis 1750.296785015962 usercpu_time_millis 1737.659974998678 usercpu_time_millis_testing 90.50704300170764 usercpu_time_millis_testing 91.12007099611219 usercpu_time_millis_testing 93.0948569875909 usercpu_time_millis_testing 90.4818879935192 usercpu_time_millis_testing 95.56259401142597 usercpu_time_millis_testing 92.65191500890069 usercpu_time_millis_testing 90.59182500641327 usercpu_time_millis_testing 90.99036001134664 usercpu_time_millis_testing 92.75076701305807 usercpu_time_millis_testing 90.15478400397114 usercpu_time_millis_training 1646.0260229941923 usercpu_time_millis_training 1636.3240470091114 usercpu_time_millis_training 1664.5943030016497 usercpu_time_millis_training 1662.870958010899 usercpu_time_millis_training 1671.532339998521 usercpu_time_millis_training 1679.637545006699 usercpu_time_millis_training 1635.2718660054961 usercpu_time_millis_training 1641.9885539944516 usercpu_time_millis_training 1657.546018002904 usercpu_time_millis_training 1647.505190994707 wall_clock_time_millis 1928.7002086639404 wall_clock_time_millis 1919.602870941162 wall_clock_time_millis 2030.2143096923828 wall_clock_time_millis 1797.5459098815918 wall_clock_time_millis 1967.2341346740723 wall_clock_time_millis 1900.4428386688232 wall_clock_time_millis 1890.0220394134521 wall_clock_time_millis 1873.154878616333 wall_clock_time_millis 1934.4475269317627 wall_clock_time_millis 1869.8320388793945 wall_clock_time_millis_testing 90.52681922912598 wall_clock_time_millis_testing 91.1405086517334 wall_clock_time_millis_testing 181.50925636291504 wall_clock_time_millis_testing 90.4994010925293 wall_clock_time_millis_testing 95.5803394317627 wall_clock_time_millis_testing 92.66948699951172 wall_clock_time_millis_testing 90.60978889465332 wall_clock_time_millis_testing 91.00937843322754 wall_clock_time_millis_testing 108.76822471618652 wall_clock_time_millis_testing 90.17276763916016 wall_clock_time_millis_training 1838.1733894348145 wall_clock_time_millis_training 1828.4623622894287 wall_clock_time_millis_training 1848.7050533294678 wall_clock_time_millis_training 1707.0465087890625 wall_clock_time_millis_training 1871.6537952423096 wall_clock_time_millis_training 1807.7733516693115 wall_clock_time_millis_training 1799.4122505187988 wall_clock_time_millis_training 1782.1455001831055 wall_clock_time_millis_training 1825.6793022155762 wall_clock_time_millis_training 1779.6592712402344