10311363 8323 Heinrich Peters 9977 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8171281 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 memory null 15083 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": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 2 15084 gamma 100.0 15084 kernel "laplace" 15084 kernel_params "\"null\"" 15084 n_components 2000 15084 n_epoch 2 15084 random_state 38099 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21544333 description https://api.openml.org/data/download/21544333/description.xml -1 21544334 predictions https://api.openml.org/data/download/21544334/predictions.arff area_under_roc_curve 0.9471932468592823 [0.947193,0.947193] average_cost 0 f_measure 0.9561706135345707 [0.923443,0.969256] kappa 0.8926992576626843 kb_relative_information_score 0.883434338039339 mean_absolute_error 0.04387059335557812 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9562192199432918 [0.920553,0.970479] predictive_accuracy 0.9561294066444219 prior_entropy 0.8629999933345911 recall 0.9561294066444219 [0.926351,0.968035] relative_absolute_error 0.1075021398739466 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.2094530815136844 root_relative_squared_error 0.4636885696255608 total_cost 0 area_under_roc_curve 0.9556032946139449 [0.955603,0.955603] area_under_roc_curve 0.9090259250248447 [0.909026,0.909026] area_under_roc_curve 0.9538044262639841 [0.953804,0.953804] area_under_roc_curve 0.9578659585084142 [0.957866,0.957866] area_under_roc_curve 0.9512669737368405 [0.951267,0.951267] area_under_roc_curve 0.9511274626353086 [0.951127,0.951127] area_under_roc_curve 0.9539715050887307 [0.953972,0.953972] area_under_roc_curve 0.9578326332613449 [0.957833,0.957833] area_under_roc_curve 0.9497042030737123 [0.949704,0.949704] area_under_roc_curve 0.9317281210992452 [0.931728,0.931728] 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 0.9648483859628332 [0.938234,0.975481] f_measure 0.909244890188202 [0.849315,0.933222] f_measure 0.9622860458369596 [0.93401,0.973599] f_measure 0.9671521483008623 [0.942259,0.977112] f_measure 0.9632980320563727 [0.935185,0.974545] f_measure 0.961896649655154 [0.932924,0.973476] f_measure 0.9650576227039729 [0.938335,0.975738] f_measure 0.9679796315103131 [0.943532,0.977751] f_measure 0.9615633849743703 [0.932169,0.973312] f_measure 0.939434333005972 [0.895522,0.956985] kappa 0.9137157720113871 kappa 0.7830004347518057 kappa 0.9076088525279682 kappa 0.9193715755881 kappa 0.9097369806918 kappa 0.9064023026112543 kappa 0.9140773370457332 kappa 0.9212859058039029 kappa 0.9054850707503065 kappa 0.8525337395859062 kb_relative_information_score 0.9067076510307246 kb_relative_information_score 0.75415676415083 kb_relative_information_score 0.8998131013780882 kb_relative_information_score 0.9129144650440314 kb_relative_information_score 0.9028957751818402 kb_relative_information_score 0.8989810565168885 kb_relative_information_score 0.9074635632215776 kb_relative_information_score 0.9151749329531127 kb_relative_information_score 0.8982099195437354 kb_relative_information_score 0.8380612356377551 mean_absolute_error 0.03510298810559907 mean_absolute_error 0.09254424136930664 mean_absolute_error 0.037713954163040325 mean_absolute_error 0.03278212938787351 mean_absolute_error 0.03655352480417755 mean_absolute_error 0.03801508995937319 mean_absolute_error 0.034822983168891465 mean_absolute_error 0.03192106790481718 mean_absolute_error 0.038305281485780614 mean_absolute_error 0.06094022054556007 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.9648157027584896 [0.942564,0.973706] precision 0.9146493066464692 [0.79417,0.962851] precision 0.9622860458369596 [0.93401,0.973599] precision 0.9671198679463515 [0.94856,0.974545] precision 0.9632836186512354 [0.947862,0.969453] precision 0.9618526506672126 [0.940144,0.970529] precision 0.9650343129297935 [0.949064,0.971417] precision 0.9679600003464278 [0.95332,0.973811] precision 0.9615276170387327 [0.942827,0.969002] precision 0.9401335007246584 [0.877193,0.965289] predictive_accuracy 0.964897011894401 predictive_accuracy 0.9074557586306934 predictive_accuracy 0.9622860458369596 predictive_accuracy 0.9672178706121265 predictive_accuracy 0.9634464751958224 predictive_accuracy 0.9619849100406267 predictive_accuracy 0.9651770168311086 predictive_accuracy 0.9680789320951828 predictive_accuracy 0.9616947185142193 predictive_accuracy 0.93905977945444 prior_entropy 0.862791736866817 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.863175399426382 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 prior_entropy 0.862901291120622 recall 0.9648970118944009 [0.933943,0.977263] recall 0.9074557586306934 [0.91269,0.905361] recall 0.9622860458369596 [0.93401,0.973599] recall 0.9672178706121265 [0.936041,0.979691] recall 0.9634464751958225 [0.922843,0.979691] recall 0.9619849100406268 [0.925813,0.976442] recall 0.9651770168311086 [0.927846,0.980097] recall 0.9680789320951828 [0.933943,0.981722] recall 0.9616947185142194 [0.921748,0.97766] recall 0.93905977945444 [0.914634,0.948822] relative_absolute_error 0.08603190554028149 relative_absolute_error 0.22674226960598257 relative_absolute_error 0.09240280579554148 relative_absolute_error 0.08031936196073991 relative_absolute_error 0.08955964254029405 relative_absolute_error 0.09316090033271993 relative_absolute_error 0.0853382293124152 relative_absolute_error 0.07822671020304726 relative_absolute_error 0.09387205224365673 relative_absolute_error 0.14934190129672661 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.18735791444611855 root_mean_squared_error 0.30421085018339933 root_mean_squared_error 0.19420080886299193 root_mean_squared_error 0.18105835906655487 root_mean_squared_error 0.19118976124305806 root_mean_squared_error 0.19497458798359643 root_mean_squared_error 0.18660917225284362 root_mean_squared_error 0.17866468007084438 root_mean_squared_error 0.19571735100849033 root_mean_squared_error 0.24686073107231954 root_relative_squared_error 0.4148427848142372 root_relative_squared_error 0.6733701000584241 root_relative_squared_error 0.42986309665372935 root_relative_squared_error 0.40077231067714636 root_relative_squared_error 0.42319814885225154 root_relative_squared_error 0.4316698364847463 root_relative_squared_error 0.4131489734432263 root_relative_squared_error 0.3955600267162484 root_relative_squared_error 0.4333142989596708 root_relative_squared_error 0.546544719076203 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 127495.78212198685 usercpu_time_millis 108747.78451499878 usercpu_time_millis 109425.29005301185 usercpu_time_millis 102384.9606969743 usercpu_time_millis 134601.48814800777 usercpu_time_millis 119934.94523802656 usercpu_time_millis 106407.29356001248 usercpu_time_millis 120950.06623098743 usercpu_time_millis 119527.85209499416 usercpu_time_millis 122225.92397301923 usercpu_time_millis_testing 7851.830828003585 usercpu_time_millis_testing 5641.436311998405 usercpu_time_millis_testing 5296.07894300716 usercpu_time_millis_testing 5290.142802987248 usercpu_time_millis_testing 8499.36978900223 usercpu_time_millis_testing 5137.781227007508 usercpu_time_millis_testing 5223.592730006203 usercpu_time_millis_testing 5282.906665990595 usercpu_time_millis_testing 5230.256445996929 usercpu_time_millis_testing 5291.920914023649 usercpu_time_millis_training 119643.95129398326 usercpu_time_millis_training 103106.34820300038 usercpu_time_millis_training 104129.21111000469 usercpu_time_millis_training 97094.81789398706 usercpu_time_millis_training 126102.11835900554 usercpu_time_millis_training 114797.16401101905 usercpu_time_millis_training 101183.70083000627 usercpu_time_millis_training 115667.15956499684 usercpu_time_millis_training 114297.59564899723 usercpu_time_millis_training 116934.00305899559 wall_clock_time_millis 127557.08980560303 wall_clock_time_millis 108766.20054244995 wall_clock_time_millis 109434.51929092407 wall_clock_time_millis 102388.63229751587 wall_clock_time_millis 134609.64131355286 wall_clock_time_millis 119951.78365707397 wall_clock_time_millis 106414.68238830566 wall_clock_time_millis 120963.83023262024 wall_clock_time_millis 119540.72785377502 wall_clock_time_millis 122243.62301826477 wall_clock_time_millis_testing 7856.2586307525635 wall_clock_time_millis_testing 5641.644239425659 wall_clock_time_millis_testing 5296.26727104187 wall_clock_time_millis_testing 5290.335655212402 wall_clock_time_millis_testing 8501.189708709717 wall_clock_time_millis_testing 5139.463424682617 wall_clock_time_millis_testing 5224.283218383789 wall_clock_time_millis_testing 5283.082723617554 wall_clock_time_millis_testing 5231.687545776367 wall_clock_time_millis_testing 5292.10090637207 wall_clock_time_millis_training 119700.83117485046 wall_clock_time_millis_training 103124.55630302429 wall_clock_time_millis_training 104138.2520198822 wall_clock_time_millis_training 97098.29664230347 wall_clock_time_millis_training 126108.45160484314 wall_clock_time_millis_training 114812.32023239136 wall_clock_time_millis_training 101190.39916992188 wall_clock_time_millis_training 115680.74750900269 wall_clock_time_millis_training 114309.04030799866 wall_clock_time_millis_training 116951.5221118927