10329913 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) 8185528 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 0.17043643978607886 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.259782057260844 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.07353964847134783 13389 kernel "sigmoid" 13389 max_iter -1 13389 probability false 13389 random_state 53953 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 21581523 description https://api.openml.org/data/download/21581523/description.xml -1 21581524 predictions https://api.openml.org/data/download/21581524/predictions.arff area_under_roc_curve 0.7020358244793423 [0.823274,0.698522,0.659038,0.645055,0.730329,0.671983,0.718053,0.751846,0.650329,0.669808] average_cost 0 f_measure 0.46561665574431377 [0.616622,0.47619,0.331897,0.380282,0.494118,0.448529,0.550943,0.525714,0.398524,0.432234] kappa 0.4041476852405424 kb_relative_information_score 0.43911514425052367 mean_absolute_error 0.1072190834902692 mean_prior_absolute_error 0.17999701595290427 number_of_instances 1593 [161,158,162,159,159,161,159,161,158,155] precision 0.49076798412364037 [0.542453,0.514706,0.254967,0.432,0.464088,0.54955,0.688679,0.486772,0.477876,0.5] predictive_accuracy 0.4639045825486503 prior_entropy 3.3218194939376526 recall 0.46390458254865036 [0.714286,0.443038,0.475309,0.339623,0.528302,0.378882,0.459119,0.571429,0.341772,0.380645] relative_absolute_error 0.5956714500107201 root_mean_prior_squared_error 0.2999974977708246 root_mean_squared_error 0.32744325232056504 root_relative_squared_error 1.0914866115673636 total_cost 0 area_under_roc_curve 0.6944444444444444 [0.802083,0.690972,0.534722,0.541667,0.875,0.774306,0.652778,0.795139,0.659722,0.618056] area_under_roc_curve 0.6701362095758647 [0.767361,0.645833,0.680556,0.600694,0.770833,0.697917,0.673611,0.648499,0.545139,0.672414] area_under_roc_curve 0.7257888902285454 [0.892361,0.722222,0.71875,0.65625,0.680556,0.721308,0.829861,0.75,0.673611,0.605747] area_under_roc_curve 0.7204011266511265 [0.888549,0.666521,0.770105,0.680507,0.795017,0.538024,0.84375,0.666521,0.670017,0.682639] area_under_roc_curve 0.6991981023671164 [0.801792,0.590035,0.678956,0.725524,0.649038,0.729021,0.732517,0.725524,0.679167,0.679167] area_under_roc_curve 0.698976834980356 [0.850524,0.795017,0.650787,0.663024,0.704545,0.604021,0.64576,0.808785,0.615972,0.645833] area_under_roc_curve 0.6959221822778161 [0.788318,0.795017,0.589816,0.661806,0.656031,0.638767,0.719444,0.708042,0.631774,0.763767] area_under_roc_curve 0.6853875291375291 [0.788024,0.622917,0.641827,0.635271,0.742788,0.635271,0.697771,0.780813,0.659528,0.64576] area_under_roc_curve 0.6925019425019425 [0.840035,0.705556,0.652316,0.628278,0.617788,0.701267,0.642264,0.763549,0.701267,0.673514] area_under_roc_curve 0.737883644133644 [0.815778,0.746285,0.673077,0.659528,0.815972,0.67701,0.743007,0.878278,0.666521,0.70826] 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 0.45193791153237894 [0.564103,0.451613,0.173913,0.166667,0.684211,0.666667,0.454545,0.645161,0.4,0.3125] f_measure 0.40028640813602745 [0.512821,0.416667,0.333333,0.296296,0.526316,0.482759,0.461538,0.387097,0.173913,0.413793] f_measure 0.5069957239046164 [0.787879,0.5,0.418605,0.387097,0.411765,0.551724,0.709677,0.529412,0.461538,0.296296] f_measure 0.4935257815576269 [0.636364,0.428571,0.413793,0.5,0.645161,0.16,0.814815,0.428571,0.444444,0.461538] f_measure 0.45883658967153595 [0.564103,0.266667,0.390244,0.516129,0.363636,0.533333,0.551724,0.516129,0.444444,0.444444] f_measure 0.45444733378196445 [0.685714,0.645161,0.326531,0.413793,0.432432,0.307692,0.416667,0.594595,0.333333,0.384615] f_measure 0.45685157453825176 [0.578947,0.645161,0.25,0.375,0.387097,0.384615,0.538462,0.444444,0.357143,0.6] f_measure 0.4314098842834475 [0.606061,0.363636,0.311111,0.37037,0.5,0.37037,0.482759,0.488889,0.4,0.416667] f_measure 0.4449085110387031 [0.631579,0.466667,0.333333,0.344828,0.3125,0.5,0.4,0.5,0.5,0.461538] f_measure 0.5314016115656804 [0.628571,0.514286,0.347826,0.4,0.666667,0.48,0.615385,0.702703,0.428571,0.538462] kappa 0.38888888888888884 kappa 0.3402777777777778 kappa 0.4513888888888889 kappa 0.4408299630736768 kappa 0.39860139860139865 kappa 0.39828382838283827 kappa 0.39179563841013015 kappa 0.37082307421737604 kappa 0.3850210970464135 kappa 0.47587025316455694 kb_relative_information_score 0.4245697962030811 kb_relative_information_score 0.3787714641860172 kb_relative_information_score 0.4832007215191731 kb_relative_information_score 0.4735518129934775 kb_relative_information_score 0.43408125299815997 kb_relative_information_score 0.43408059129362747 kb_relative_information_score 0.4279527089292385 kb_relative_information_score 0.4077297739160181 kb_relative_information_score 0.42092501223038753 kb_relative_information_score 0.5064802911360359 mean_absolute_error 0.1099999999999998 mean_absolute_error 0.11874999999999977 mean_absolute_error 0.09874999999999985 mean_absolute_error 0.1006289308176099 mean_absolute_error 0.10817610062893064 mean_absolute_error 0.10817610062893064 mean_absolute_error 0.10943396226415075 mean_absolute_error 0.11320754716981112 mean_absolute_error 0.11069182389937088 mean_absolute_error 0.0943396226415093 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 0.4978423207227555 [0.478261,0.466667,0.133333,0.25,0.590909,0.818182,0.833333,0.666667,0.428571,0.3125] precision 0.43961252134593093 [0.434783,0.625,0.236842,0.363636,0.454545,0.538462,0.6,0.428571,0.285714,0.428571] precision 0.524109477124183 [0.764706,0.5,0.333333,0.4,0.388889,0.666667,0.733333,0.5,0.6,0.333333] precision 0.5515895704574949 [0.5,0.5,0.285714,0.75,0.666667,0.222222,1,0.5,0.545455,0.545455] precision 0.4691384001908539 [0.478261,0.285714,0.333333,0.533333,0.352941,0.571429,0.615385,0.533333,0.5,0.5] precision 0.4828149947812311 [0.631579,0.666667,0.25,0.461538,0.380952,0.4,0.625,0.52381,0.444444,0.454545] precision 0.47482210723054236 [0.52381,0.666667,0.208333,0.352941,0.4,0.5,0.636364,0.4,0.416667,0.642857] precision 0.4725296212456073 [0.588235,0.571429,0.241379,0.454545,0.45,0.454545,0.538462,0.37931,0.428571,0.625] precision 0.4717675057297699 [0.545455,0.466667,0.269231,0.384615,0.3125,0.583333,0.555556,0.416667,0.583333,0.6] precision 0.56941725382639 [0.578947,0.473684,0.266667,0.428571,0.666667,0.666667,0.8,0.619048,0.5,0.7] predictive_accuracy 0.45 predictive_accuracy 0.40625 predictive_accuracy 0.50625 predictive_accuracy 0.49685534591194963 predictive_accuracy 0.4591194968553459 predictive_accuracy 0.4591194968553459 predictive_accuracy 0.45283018867924524 predictive_accuracy 0.4339622641509434 predictive_accuracy 0.4465408805031446 predictive_accuracy 0.5283018867924528 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 0.45 [0.6875,0.4375,0.25,0.125,0.8125,0.5625,0.3125,0.625,0.375,0.3125] recall 0.40625 [0.625,0.3125,0.5625,0.25,0.625,0.4375,0.375,0.352941,0.125,0.4] recall 0.50625 [0.8125,0.5,0.5625,0.375,0.4375,0.470588,0.6875,0.5625,0.375,0.266667] recall 0.4968553459119497 [0.875,0.375,0.75,0.375,0.625,0.125,0.6875,0.375,0.375,0.4] recall 0.4591194968553459 [0.6875,0.25,0.470588,0.5,0.375,0.5,0.5,0.5,0.4,0.4] recall 0.4591194968553459 [0.75,0.625,0.470588,0.375,0.5,0.25,0.3125,0.6875,0.266667,0.333333] recall 0.4528301886792453 [0.647059,0.625,0.3125,0.4,0.375,0.3125,0.466667,0.5,0.3125,0.5625] recall 0.4339622641509434 [0.625,0.266667,0.4375,0.3125,0.5625,0.3125,0.4375,0.6875,0.375,0.3125] recall 0.44654088050314467 [0.75,0.466667,0.4375,0.3125,0.3125,0.4375,0.3125,0.625,0.4375,0.375] recall 0.5283018867924528 [0.6875,0.5625,0.5,0.375,0.666667,0.375,0.5,0.8125,0.375,0.4375] relative_absolute_error 0.6111111111111113 relative_absolute_error 0.6597393707814545 relative_absolute_error 0.5486253714919467 relative_absolute_error 0.5590600954726771 relative_absolute_error 0.6010000828316209 relative_absolute_error 0.6010000828316209 relative_absolute_error 0.6079725529345604 relative_absolute_error 0.6289343819205888 relative_absolute_error 0.6149580623223536 relative_absolute_error 0.5241097001163965 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 0.3316624790355397 root_mean_squared_error 0.3446012188022552 root_mean_squared_error 0.3142451272494131 root_mean_squared_error 0.3172206342872574 root_mean_squared_error 0.32890135394815667 root_mean_squared_error 0.32890135394815667 root_mean_squared_error 0.33080804443687695 root_mean_squared_error 0.33646329245522627 root_mean_squared_error 0.3327038080626233 root_mean_squared_error 0.3071475584169754 root_relative_squared_error 1.1055324902084784 root_relative_squared_error 1.148691125244616 root_relative_squared_error 1.0475023567165733 root_relative_squared_error 1.0574132257690816 root_relative_squared_error 1.0963684857287426 root_relative_squared_error 1.0963684857287426 root_relative_squared_error 1.1026954545248602 root_relative_squared_error 1.1215414257268759 root_relative_squared_error 1.1090098432921025 root_relative_squared_error 1.0238181002106272 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 849.5711349969497 usercpu_time_millis 852.6892000081716 usercpu_time_millis 851.4656850020401 usercpu_time_millis 863.0096169945318 usercpu_time_millis 866.7450429929886 usercpu_time_millis 865.8864519966301 usercpu_time_millis 868.6377630074276 usercpu_time_millis 865.7354479946662 usercpu_time_millis 867.0377929956885 usercpu_time_millis 850.7282530044904 usercpu_time_millis_testing 96.09860699856654 usercpu_time_millis_testing 95.8833170006983 usercpu_time_millis_testing 95.37357100634836 usercpu_time_millis_testing 93.5095719905803 usercpu_time_millis_testing 94.00824199838098 usercpu_time_millis_testing 96.28553700167686 usercpu_time_millis_testing 95.34103400073946 usercpu_time_millis_testing 97.26660799060483 usercpu_time_millis_testing 93.69618000346236 usercpu_time_millis_testing 93.19827800209168 usercpu_time_millis_training 753.4725279983832 usercpu_time_millis_training 756.8058830074733 usercpu_time_millis_training 756.0921139956918 usercpu_time_millis_training 769.5000450039515 usercpu_time_millis_training 772.7368009946076 usercpu_time_millis_training 769.6009149949532 usercpu_time_millis_training 773.2967290066881 usercpu_time_millis_training 768.4688400040613 usercpu_time_millis_training 773.3416129922261 usercpu_time_millis_training 757.5299750023987 wall_clock_time_millis 850.0733375549316 wall_clock_time_millis 936.7749691009521 wall_clock_time_millis 1017.9052352905273 wall_clock_time_millis 951.3359069824219 wall_clock_time_millis 898.815393447876 wall_clock_time_millis 921.9951629638672 wall_clock_time_millis 944.7038173675537 wall_clock_time_millis 929.826021194458 wall_clock_time_millis 1039.1063690185547 wall_clock_time_millis 1026.770830154419 wall_clock_time_millis_testing 96.11749649047852 wall_clock_time_millis_testing 123.89802932739258 wall_clock_time_millis_testing 127.42733955383301 wall_clock_time_millis_testing 93.52827072143555 wall_clock_time_millis_testing 94.02823448181152 wall_clock_time_millis_testing 96.30465507507324 wall_clock_time_millis_testing 95.36147117614746 wall_clock_time_millis_testing 97.28622436523438 wall_clock_time_millis_testing 93.71542930603027 wall_clock_time_millis_testing 93.21761131286621 wall_clock_time_millis_training 753.9558410644531 wall_clock_time_millis_training 812.8769397735596 wall_clock_time_millis_training 890.4778957366943 wall_clock_time_millis_training 857.8076362609863 wall_clock_time_millis_training 804.7871589660645 wall_clock_time_millis_training 825.690507888794 wall_clock_time_millis_training 849.3423461914062 wall_clock_time_millis_training 832.5397968292236 wall_clock_time_millis_training 945.3909397125244 wall_clock_time_millis_training 933.5532188415527