10325219 8323 Heinrich Peters 10093 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8180904 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 0.03598376622731902 13389 cache_size 200 13389 class_weight null 13389 coef0 0.1873652421270311 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 5.555947686048554 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 12959 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. 1462 banknote-authentication https://www.openml.org/data/download/1586223/php50jXam -1 21572124 description https://api.openml.org/data/download/21572124/description.xml -1 21572125 predictions https://api.openml.org/data/download/21572125/predictions.arff area_under_roc_curve 0.7655737704918033 [0.765574,0.765574] average_cost 0 f_measure 0.7760988130795823 [0.841989,0.69379] kappa 0.5572036002202742 kb_relative_information_score 0.5756222108025617 mean_absolute_error 0.20845481049562684 mean_prior_absolute_error 0.49387203415364794 number_of_instances 1372 [762,610] precision 0.8484326664144392 [0.727099,1] predictive_accuracy 0.7915451895043732 prior_entropy 0.9911281447384036 recall 0.7915451895043731 [1,0.531148] relative_absolute_error 0.4220826369584934 root_mean_prior_squared_error 0.4969220835611905 root_mean_squared_error 0.45656851675912435 root_relative_squared_error 0.9187929694875453 total_cost 0 area_under_roc_curve 0.7295081967213115 [0.729508,0.729508] area_under_roc_curve 0.7704918032786885 [0.770492,0.770492] area_under_roc_curve 0.7377049180327869 [0.737705,0.737705] area_under_roc_curve 0.7540983606557377 [0.754098,0.754098] area_under_roc_curve 0.819672131147541 [0.819672,0.819672] area_under_roc_curve 0.6967213114754098 [0.696721,0.696721] area_under_roc_curve 0.7950819672131146 [0.795082,0.795082] area_under_roc_curve 0.7459016393442623 [0.745902,0.745902] area_under_roc_curve 0.7950819672131146 [0.795082,0.795082] area_under_roc_curve 0.8114754098360657 [0.811475,0.811475] 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 0.7376361389695106 [0.823529,0.629213] f_measure 0.7824900970136863 [0.846154,0.702128] f_measure 0.7452096336260094 [0.826087,0.644444] f_measure 0.763366592151105 [0.835165,0.673913] f_measure 0.8319036831948989 [0.873563,0.78] f_measure 0.6975821309870258 [0.804233,0.564706] f_measure 0.8068896878731953 [0.858757,0.742268] f_measure 0.7543464472984636 [0.830601,0.659341] f_measure 0.8068896878731953 [0.858757,0.742268] f_measure 0.8236475284650467 [0.868571,0.767677] kappa 0.48635235732009935 kappa 0.568075117370892 kappa 0.5013648771610554 kappa 0.5341192473362051 kappa 0.6629389398344888 kappa 0.41849260066536653 kappa 0.6150387771158817 kappa 0.5177699557170434 kappa 0.6150387771158817 kappa 0.6470258765542736 kb_relative_information_score 0.5127658638028068 kb_relative_information_score 0.5865892177720786 kb_relative_information_score 0.5245783120599262 kb_relative_information_score 0.5542921675561809 kb_relative_information_score 0.6731475895411994 kb_relative_information_score 0.45029367331929004 kb_relative_information_score 0.6285768062968176 kb_relative_information_score 0.5394352398080535 kb_relative_information_score 0.6285768062968176 kb_relative_information_score 0.6582906617930719 mean_absolute_error 0.2391304347826087 mean_absolute_error 0.2028985507246377 mean_absolute_error 0.23357664233576642 mean_absolute_error 0.21897810218978103 mean_absolute_error 0.16058394160583941 mean_absolute_error 0.27007299270072993 mean_absolute_error 0.18248175182481752 mean_absolute_error 0.22627737226277372 mean_absolute_error 0.18248175182481752 mean_absolute_error 0.1678832116788321 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49358690378246245 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 mean_prior_absolute_error 0.49394383705734374 number_of_instances 138 [77,61] number_of_instances 138 [77,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] number_of_instances 137 [76,61] precision 0.832608695652174 [0.7,1] precision 0.851207729468599 [0.733333,1] precision 0.8356312516896458 [0.703704,1] precision 0.8429968323922324 [0.716981,1] precision 0.8754655146730225 [0.77551,1] precision 0.8183579872101285 [0.672566,1] precision 0.86268699862687 [0.752475,1] precision 0.8392796234395252 [0.71028,1] precision 0.86268699862687 [0.752475,1] precision 0.8711199587111995 [0.767677,1] predictive_accuracy 0.7608695652173912 predictive_accuracy 0.7971014492753623 predictive_accuracy 0.7664233576642335 predictive_accuracy 0.7810218978102189 predictive_accuracy 0.8394160583941606 predictive_accuracy 0.7299270072992701 predictive_accuracy 0.8175182481751826 predictive_accuracy 0.7737226277372262 predictive_accuracy 0.8175182481751826 predictive_accuracy 0.8321167883211679 prior_entropy 0.9903020513891087 prior_entropy 0.9903020513891087 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 prior_entropy 0.9913361755453535 recall 0.7608695652173914 [1,0.459016] recall 0.7971014492753623 [1,0.540984] recall 0.7664233576642335 [1,0.47541] recall 0.781021897810219 [1,0.508197] recall 0.8394160583941606 [1,0.639344] recall 0.7299270072992701 [1,0.393443] recall 0.8175182481751825 [1,0.590164] recall 0.7737226277372263 [1,0.491803] recall 0.8175182481751825 [1,0.590164] recall 0.8321167883211679 [1,0.622951] relative_absolute_error 0.4844748370552396 relative_absolute_error 0.4110695587135366 relative_absolute_error 0.4728809731229619 relative_absolute_error 0.4433259123027768 relative_absolute_error 0.3251056690220363 relative_absolute_error 0.5467686251734246 relative_absolute_error 0.36943826025231397 relative_absolute_error 0.4581034427128693 relative_absolute_error 0.36943826025231397 relative_absolute_error 0.33988319943212886 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.49663510423610374 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_prior_squared_error 0.4969943259580404 root_mean_squared_error 0.48900964692182575 root_mean_squared_error 0.45044261646145084 root_mean_squared_error 0.48329767466414153 root_mean_squared_error 0.46795096130874764 root_mean_squared_error 0.40072926222805266 root_mean_squared_error 0.5196854747832865 root_mean_squared_error 0.4271788288583805 root_mean_squared_error 0.4756862119746312 root_mean_squared_error 0.4271788288583805 root_mean_squared_error 0.4097355387061661 root_relative_squared_error 0.9846457545001636 root_relative_squared_error 0.9069890803516525 root_relative_squared_error 0.9724410308558429 root_relative_squared_error 0.941561979418363 root_relative_squared_error 0.8063055075238121 root_relative_squared_error 1.0456567563050243 root_relative_squared_error 0.8595245590277539 root_relative_squared_error 0.9571260417463837 root_relative_squared_error 0.8595245590277539 root_relative_squared_error 0.8244269950493534 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 97.5340260010853 usercpu_time_millis 97.82857800382772 usercpu_time_millis 96.35300599620678 usercpu_time_millis 96.45546200044919 usercpu_time_millis 96.8256720007048 usercpu_time_millis 96.06892300143954 usercpu_time_millis 97.03338200051803 usercpu_time_millis 96.97256599611137 usercpu_time_millis 99.51884100155439 usercpu_time_millis 96.99049800110515 usercpu_time_millis_testing 8.807070000329986 usercpu_time_millis_testing 9.205545000440907 usercpu_time_millis_testing 8.585239997046301 usercpu_time_millis_testing 8.64914200064959 usercpu_time_millis_testing 8.678358000906883 usercpu_time_millis_testing 8.527866000804352 usercpu_time_millis_testing 8.67761699919356 usercpu_time_millis_testing 8.629895997728454 usercpu_time_millis_testing 8.661503001349047 usercpu_time_millis_testing 8.762911002122564 usercpu_time_millis_training 88.72695600075531 usercpu_time_millis_training 88.62303300338681 usercpu_time_millis_training 87.76776599916047 usercpu_time_millis_training 87.8063199997996 usercpu_time_millis_training 88.14731399979792 usercpu_time_millis_training 87.54105700063519 usercpu_time_millis_training 88.35576500132447 usercpu_time_millis_training 88.34266999838292 usercpu_time_millis_training 90.85733800020535 usercpu_time_millis_training 88.22758699898259 wall_clock_time_millis 177.56271362304688 wall_clock_time_millis 97.91994094848633 wall_clock_time_millis 96.37236595153809 wall_clock_time_millis 96.49348258972168 wall_clock_time_millis 128.8759708404541 wall_clock_time_millis 96.16398811340332 wall_clock_time_millis 97.05400466918945 wall_clock_time_millis 97.03898429870605 wall_clock_time_millis 99.53856468200684 wall_clock_time_millis 113.01374435424805 wall_clock_time_millis_testing 8.815526962280273 wall_clock_time_millis_testing 9.214639663696289 wall_clock_time_millis_testing 8.592367172241211 wall_clock_time_millis_testing 8.65936279296875 wall_clock_time_millis_testing 8.688688278198242 wall_clock_time_millis_testing 8.535146713256836 wall_clock_time_millis_testing 8.686542510986328 wall_clock_time_millis_testing 8.638143539428711 wall_clock_time_millis_testing 8.67009162902832 wall_clock_time_millis_testing 8.77523422241211 wall_clock_time_millis_training 168.7471866607666 wall_clock_time_millis_training 88.70530128479004 wall_clock_time_millis_training 87.77999877929688 wall_clock_time_millis_training 87.83411979675293 wall_clock_time_millis_training 120.18728256225586 wall_clock_time_millis_training 87.62884140014648 wall_clock_time_millis_training 88.36746215820312 wall_clock_time_millis_training 88.40084075927734 wall_clock_time_millis_training 90.86847305297852 wall_clock_time_millis_training 104.23851013183594