10329808 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) 8185424 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 1479.684750929223 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.9352863440122492 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 5.9403103232131136e-05 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 40795 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 21581313 description https://api.openml.org/data/download/21581313/description.xml -1 21581314 predictions https://api.openml.org/data/download/21581314/predictions.arff area_under_roc_curve 0.9637289687432307 [0.98653,0.938189,0.970708,0.968211,0.951442,0.974769,0.96681,0.983075,0.953954,0.942032] average_cost 0 f_measure 0.9349104307376415 [0.978193,0.875776,0.914454,0.940439,0.914826,0.947692,0.952077,0.971963,0.938111,0.913907] kappa 0.9274566023459516 kb_relative_information_score 0.9316055903744257 mean_absolute_error 0.013057124921531675 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.9358889651845742 [0.98125,0.859756,0.875706,0.9375,0.917722,0.939024,0.967532,0.975,0.966443,0.938776] predictive_accuracy 0.9347143753923415 prior_entropy 3.3218194939376526 recall 0.9347143753923415 [0.975155,0.892405,0.95679,0.943396,0.91195,0.956522,0.937107,0.968944,0.911392,0.890323] relative_absolute_error 0.07254078548139951 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.11426777726696041 root_relative_squared_error 0.3808957678515451 total_cost 0 area_under_roc_curve 0.9618055555555557 [0.96875,0.961806,0.930556,0.996528,0.958333,1,0.90625,0.996528,0.934028,0.965278] area_under_roc_curve 0.9583329984192052 [0.965278,0.923611,0.989583,0.9375,0.965278,0.9375,0.934028,0.996503,0.96875,0.963218] area_under_roc_curve 0.9548364949227018 [0.996528,0.961806,0.958333,0.989583,0.902778,0.934183,1,0.9375,0.9375,0.929885] area_under_roc_curve 0.9615627428127428 [0.96875,0.996503,0.95826,0.902753,0.96875,0.986014,1,0.96875,0.934003,0.929861] area_under_roc_curve 0.9475028590345493 [0.996503,0.857517,0.930613,0.996503,0.961757,1,0.961757,0.96875,0.966667,0.829861] area_under_roc_curve 0.9684822220033488 [1,0.930507,0.963546,0.934003,0.961757,0.996503,0.9375,0.996503,0.966667,1] area_under_roc_curve 0.9615870240870241 [1,0.92701,1,0.963194,0.934003,0.996503,0.929861,0.996503,0.934003,0.930507] area_under_roc_curve 0.9790452602952603 [1,0.963194,0.993007,0.996503,0.961757,0.96875,1,1,0.96875,0.9375] area_under_roc_curve 0.9790452602952603 [1,0.929861,0.996503,0.96875,0.965253,1,0.996503,0.96875,1,0.961757] area_under_roc_curve 0.965034965034965 [0.96875,0.930507,0.98951,0.996503,0.933333,0.930507,1,1,0.930507,0.96875] 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 0.9310857255734734 [0.967742,0.909091,0.875,0.969697,0.882353,1,0.896552,0.969697,0.903226,0.9375] f_measure 0.9257592391795427 [0.9375,0.823529,0.914286,0.933333,0.9375,0.933333,0.903226,0.971429,0.967742,0.933333] f_measure 0.9186777108962707 [0.969697,0.909091,0.882353,0.914286,0.866667,0.882353,1,0.933333,0.933333,0.896552] f_measure 0.9312779190653114 [0.967742,0.969697,0.882353,0.866667,0.967742,0.888889,1,0.967742,0.903226,0.896552] f_measure 0.9046169525528142 [0.969697,0.727273,0.857143,0.969697,0.909091,1,0.909091,0.967742,0.965517,0.769231] f_measure 0.9433101860117202 [1,0.875,0.914286,0.903226,0.909091,0.969697,0.933333,0.969697,0.965517,1] f_measure 0.9305507061294415 [1,0.848485,1,0.933333,0.903226,0.969697,0.896552,0.969697,0.903226,0.875] f_measure 0.9623931123197172 [1,0.933333,0.941176,0.969697,0.909091,0.967742,1,1,0.967742,0.933333] f_measure 0.9622124237315118 [1,0.896552,0.969697,0.967742,0.9375,1,0.969697,0.967742,1,0.909091] f_measure 0.9373587189168442 [0.967742,0.875,0.914286,0.969697,0.928571,0.875,1,1,0.875,0.967742] kappa 0.9236111111111112 kappa 0.9166558145591874 kappa 0.909710465772453 kappa 0.9231242582743616 kappa 0.8951371790362294 kappa 0.9370933708457887 kappa 0.9231174996703152 kappa 0.9580696202531646 kappa 0.9580677772405609 kappa 0.9301098901098901 kb_relative_information_score 0.9280696604250736 kb_relative_information_score 0.9214916876748016 kb_relative_information_score 0.9149642462809129 kb_relative_information_score 0.9275506321920143 kb_relative_information_score 0.9010006850294416 kb_relative_information_score 0.9407581087172651 kb_relative_information_score 0.9274173772652216 kb_relative_information_score 0.9603870632841053 kb_relative_information_score 0.9604486550011715 kb_relative_information_score 0.9341533151905219 mean_absolute_error 0.013749999999999998 mean_absolute_error 0.015 mean_absolute_error 0.01625 mean_absolute_error 0.013836477987421382 mean_absolute_error 0.01886792452830189 mean_absolute_error 0.011320754716981131 mean_absolute_error 0.013836477987421382 mean_absolute_error 0.007547169811320755 mean_absolute_error 0.007547169811320755 mean_absolute_error 0.012578616352201257 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 0.9343872549019607 [1,0.882353,0.875,0.941176,0.833333,1,1,0.941176,0.933333,0.9375] precision 0.9306688596491227 [0.9375,0.777778,0.842105,1,0.9375,1,0.933333,0.944444,1,0.933333] precision 0.9235575151113077 [0.941176,0.882353,0.833333,0.842105,0.928571,0.882353,1,1,1,0.928571] precision 0.9365484558603315 [1,0.941176,0.833333,0.928571,1,0.8,1,1,0.933333,0.928571] precision 0.9084911265821365 [0.941176,0.705882,0.833333,0.941176,0.882353,1,0.882353,1,1,0.909091] precision 0.9451555884408271 [1,0.875,0.888889,0.933333,0.882353,0.941176,1,0.941176,1,1] precision 0.9313795958635027 [1,0.823529,1,0.933333,0.933333,0.941176,0.928571,0.941176,0.933333,0.875] precision 0.9647716528959591 [1,0.933333,0.888889,0.941176,0.882353,1,1,1,1,1] precision 0.9632947518630095 [1,0.928571,0.941176,1,0.9375,1,0.941176,1,1,0.882353] precision 0.940456023521623 [1,0.875,0.842105,0.941176,1,0.875,1,1,0.875,1] predictive_accuracy 0.93125 predictive_accuracy 0.925 predictive_accuracy 0.91875 predictive_accuracy 0.9308176100628931 predictive_accuracy 0.9056603773584905 predictive_accuracy 0.9433962264150944 predictive_accuracy 0.9308176100628931 predictive_accuracy 0.9622641509433962 predictive_accuracy 0.9622641509433962 predictive_accuracy 0.9371069182389937 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 0.93125 [0.9375,0.9375,0.875,1,0.9375,1,0.8125,1,0.875,0.9375] recall 0.925 [0.9375,0.875,1,0.875,0.9375,0.875,0.875,1,0.9375,0.933333] recall 0.91875 [1,0.9375,0.9375,1,0.8125,0.882353,1,0.875,0.875,0.866667] recall 0.9308176100628931 [0.9375,1,0.9375,0.8125,0.9375,1,1,0.9375,0.875,0.866667] recall 0.9056603773584906 [1,0.75,0.882353,1,0.9375,1,0.9375,0.9375,0.933333,0.666667] recall 0.9433962264150944 [1,0.875,0.941176,0.875,0.9375,1,0.875,1,0.933333,1] recall 0.9308176100628931 [1,0.875,1,0.933333,0.875,1,0.866667,1,0.875,0.875] recall 0.9622641509433962 [1,0.933333,1,1,0.9375,0.9375,1,1,0.9375,0.875] recall 0.9622641509433962 [1,0.866667,1,0.9375,0.9375,1,1,0.9375,1,0.9375] recall 0.9371069182389937 [0.9375,0.875,1,1,0.866667,0.875,1,1,0.875,0.9375] relative_absolute_error 0.07638888888888903 relative_absolute_error 0.08333549946713126 relative_absolute_error 0.09028012442272554 relative_absolute_error 0.07687076312749323 relative_absolute_error 0.10482559584272476 relative_absolute_error 0.06289535750563485 relative_absolute_error 0.07687009289977213 relative_absolute_error 0.041928958794706 relative_absolute_error 0.041928958794706 relative_absolute_error 0.06988129334885296 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 0.11726039399558573 root_mean_squared_error 0.1224744871391589 root_mean_squared_error 0.12747548783981963 root_mean_squared_error 0.11762855940383433 root_mean_squared_error 0.13736056394868904 root_mean_squared_error 0.1063990353197863 root_mean_squared_error 0.11762855940383433 root_mean_squared_error 0.08687444855261388 root_mean_squared_error 0.08687444855261388 root_mean_squared_error 0.11215443081840885 root_relative_squared_error 0.3908647603242331 root_relative_squared_error 0.40825553935828673 root_relative_squared_error 0.4249258376879266 root_relative_squared_error 0.3920993182591807 root_relative_squared_error 0.45788134249823853 root_relative_squared_error 0.35467336280695444 root_relative_squared_error 0.3920958995955309 root_relative_squared_error 0.2895807509281278 root_relative_squared_error 0.2895807509281278 root_relative_squared_error 0.3738455121782971 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 550.2606740046758 usercpu_time_millis 548.3227320073638 usercpu_time_millis 549.1524429962737 usercpu_time_millis 546.2505169998622 usercpu_time_millis 553.280744003132 usercpu_time_millis 546.3937239837833 usercpu_time_millis 544.1530040116049 usercpu_time_millis 540.7751399907283 usercpu_time_millis 541.3451519998489 usercpu_time_millis 535.8132270048372 usercpu_time_millis_testing 63.89856200257782 usercpu_time_millis_testing 60.843773011583835 usercpu_time_millis_testing 62.15472100302577 usercpu_time_millis_testing 60.931535001145676 usercpu_time_millis_testing 62.33488100406248 usercpu_time_millis_testing 65.06224499025848 usercpu_time_millis_testing 62.10636500327382 usercpu_time_millis_testing 62.352210996323265 usercpu_time_millis_testing 60.61311899975408 usercpu_time_millis_testing 61.60627400095109 usercpu_time_millis_training 486.362112002098 usercpu_time_millis_training 487.47895899578 usercpu_time_millis_training 486.997721993248 usercpu_time_millis_training 485.3189819987165 usercpu_time_millis_training 490.9458629990695 usercpu_time_millis_training 481.3314789935248 usercpu_time_millis_training 482.0466390083311 usercpu_time_millis_training 478.4229289944051 usercpu_time_millis_training 480.7320330000948 usercpu_time_millis_training 474.20695300388616 wall_clock_time_millis 702.3365497589111 wall_clock_time_millis 640.4495239257812 wall_clock_time_millis 657.2418212890625 wall_clock_time_millis 602.3850440979004 wall_clock_time_millis 617.3267364501953 wall_clock_time_millis 566.4472579956055 wall_clock_time_millis 544.2092418670654 wall_clock_time_millis 540.8318042755127 wall_clock_time_millis 669.3730354309082 wall_clock_time_millis 535.8808040618896 wall_clock_time_millis_testing 95.92795372009277 wall_clock_time_millis_testing 60.86087226867676 wall_clock_time_millis_testing 62.17145919799805 wall_clock_time_millis_testing 60.94789505004883 wall_clock_time_millis_testing 94.34890747070312 wall_clock_time_millis_testing 65.0794506072998 wall_clock_time_millis_testing 62.12258338928223 wall_clock_time_millis_testing 62.36910820007324 wall_clock_time_millis_testing 76.62606239318848 wall_clock_time_millis_testing 61.63644790649414 wall_clock_time_millis_training 606.4085960388184 wall_clock_time_millis_training 579.5886516571045 wall_clock_time_millis_training 595.0703620910645 wall_clock_time_millis_training 541.4371490478516 wall_clock_time_millis_training 522.9778289794922 wall_clock_time_millis_training 501.36780738830566 wall_clock_time_millis_training 482.0866584777832 wall_clock_time_millis_training 478.46269607543945 wall_clock_time_millis_training 592.7469730377197 wall_clock_time_millis_training 474.2443561553955