10311271 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) 8171384 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 3 15084 gamma 0.0001 15084 kernel "rbf" 15084 kernel_params "\"null\"" 15084 n_components 1000 15084 n_epoch 2 15084 random_state 18458 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21544149 description https://api.openml.org/data/download/21544149/description.xml -1 21544150 predictions https://api.openml.org/data/download/21544150/predictions.arff area_under_roc_curve 0.9471003410483919 [0.9471,0.9471] average_cost 0 f_measure 0.9588078875192674 [0.927459,0.971342] kappa 0.8988038113688531 kb_relative_information_score 0.8908353324495404 mean_absolute_error 0.04108515885681126 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.958756225534156 [0.935511,0.96805] predictive_accuracy 0.9589148411431887 prior_entropy 0.8629999933345911 recall 0.9589148411431887 [0.919545,0.974656] relative_absolute_error 0.10067660718353728 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.20269474304187382 root_relative_squared_error 0.4487269167513609 total_cost 0 area_under_roc_curve 0.9440184238931305 [0.944018,0.944018] area_under_roc_curve 0.9365443059375606 [0.936544,0.936544] area_under_roc_curve 0.9438548165619961 [0.943855,0.943855] area_under_roc_curve 0.9504544198724162 [0.950454,0.950454] area_under_roc_curve 0.949642072187607 [0.949642,0.949642] area_under_roc_curve 0.9434035551769002 [0.943404,0.943404] area_under_roc_curve 0.9530605033913864 [0.953061,0.953061] area_under_roc_curve 0.9545824169655182 [0.954582,0.954582] area_under_roc_curve 0.94817981282981 [0.94818,0.94818] area_under_roc_curve 0.9472622066797436 [0.947262,0.947262] 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 0.957742964042489 [0.925219,0.970737] f_measure 0.9472642763729476 [0.907988,0.962978] f_measure 0.9549851045958045 [0.921039,0.968566] f_measure 0.9613262935251776 [0.931969,0.973071] f_measure 0.9601880040283964 [0.930066,0.972239] f_measure 0.9577034871411277 [0.925065,0.970748] f_measure 0.9608656834957463 [0.931646,0.972544] f_measure 0.964245908270542 [0.937149,0.975076] f_measure 0.9606710608413646 [0.93052,0.972722] f_measure 0.9631307452176604 [0.934238,0.974678] kappa 0.8959649213734467 kappa 0.8709667467167534 kappa 0.8896059982631518 kappa 0.9050429941269494 kappa 0.9023066915217198 kappa 0.8958248635134126 kappa 0.9041902873446985 kappa 0.912225784527428 kappa 0.9032478652387367 kappa 0.9089422778481491 kb_relative_information_score 0.8882033834665704 kb_relative_information_score 0.8597383419293226 kb_relative_information_score 0.8805463901046435 kb_relative_information_score 0.8975010960252757 kb_relative_information_score 0.8944184222215245 kb_relative_information_score 0.8881851388927386 kb_relative_information_score 0.8958965086242741 kb_relative_information_score 0.9051501523021167 kb_relative_information_score 0.8958965086242746 kb_relative_information_score 0.9028367413826563 mean_absolute_error 0.042065564258775744 mean_absolute_error 0.05279953582825646 mean_absolute_error 0.044966637655932694 mean_absolute_error 0.03858427618218741 mean_absolute_error 0.03974470554105019 mean_absolute_error 0.04207777132907719 mean_absolute_error 0.0391758560650029 mean_absolute_error 0.03569355774811375 mean_absolute_error 0.0391758560650029 mean_absolute_error 0.03656413232733604 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 0.957717198509684 [0.939267,0.965088] precision 0.9473402201684393 [0.90433,0.964548] precision 0.9549463287725215 [0.924335,0.967193] precision 0.9612810419480959 [0.939175,0.970125] precision 0.960144373629045 [0.935318,0.970077] precision 0.9576999235760307 [0.941115,0.964329] precision 0.9609167234177459 [0.928355,0.973931] precision 0.9642092063481456 [0.942446,0.972907] precision 0.9606414383494385 [0.942649,0.967833] precision 0.9633710137341669 [0.9603,0.964598] predictive_accuracy 0.9579344357412242 predictive_accuracy 0.9472004641717436 predictive_accuracy 0.9550333623440673 predictive_accuracy 0.9614157238178126 predictive_accuracy 0.9602552944589497 predictive_accuracy 0.9579222286709228 predictive_accuracy 0.960824143934997 predictive_accuracy 0.9643064422518863 predictive_accuracy 0.960824143934997 predictive_accuracy 0.963435867672664 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 0.9579344357412243 [0.911585,0.976451] recall 0.9472004641717435 [0.911675,0.961413] recall 0.9550333623440673 [0.917766,0.969943] recall 0.9614157238178126 [0.924873,0.976036] recall 0.9602552944589499 [0.924873,0.974411] recall 0.9579222286709228 [0.909553,0.977254] recall 0.960824143934997 [0.934959,0.971162] recall 0.9643064422518862 [0.931911,0.977254] recall 0.960824143934997 [0.918699,0.97766] recall 0.963435867672664 [0.909553,0.984972] relative_absolute_error 0.10309608515157699 relative_absolute_error 0.12936392811375808 relative_absolute_error 0.11017257614083792 relative_absolute_error 0.09453517823697707 relative_absolute_error 0.09737834149222449 relative_absolute_error 0.10311702708583503 relative_absolute_error 0.09600550797646709 relative_absolute_error 0.08747168504522557 relative_absolute_error 0.09600550797646709 relative_absolute_error 0.08960514077803597 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 0.20509891335347377 root_mean_squared_error 0.22978149583518787 root_mean_squared_error 0.21205338397661258 root_mean_squared_error 0.19642880690516706 root_mean_squared_error 0.19936074222637262 root_mean_squared_error 0.20512867017820105 root_mean_squared_error 0.1979289166973914 root_mean_squared_error 0.1889273875014254 root_mean_squared_error 0.1979289166973914 root_mean_squared_error 0.19121750005513627 root_relative_squared_error 0.4541244207882015 root_relative_squared_error 0.5086208751227449 root_relative_squared_error 0.46937973546957684 root_relative_squared_error 0.4347947658025614 root_relative_squared_error 0.4412845986912135 root_relative_squared_error 0.45415077128721626 root_relative_squared_error 0.4382106611429494 root_relative_squared_error 0.41828145561765173 root_relative_squared_error 0.4382106611429494 root_relative_squared_error 0.423351718987949 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 97484.92991001694 usercpu_time_millis 99638.89762799954 usercpu_time_millis 94544.47009900468 usercpu_time_millis 74977.69502500887 usercpu_time_millis 79064.03216303443 usercpu_time_millis 90281.88203601167 usercpu_time_millis 76090.07399799884 usercpu_time_millis 79942.15126900235 usercpu_time_millis 89280.31652900972 usercpu_time_millis 84733.69932200876 usercpu_time_millis_testing 5244.929689011769 usercpu_time_millis_testing 5341.986785992049 usercpu_time_millis_testing 3788.6474020197056 usercpu_time_millis_testing 3844.781095016515 usercpu_time_millis_testing 3951.162588025909 usercpu_time_millis_testing 3904.8986659909133 usercpu_time_millis_testing 3942.933868995169 usercpu_time_millis_testing 4612.562661000993 usercpu_time_millis_testing 3865.348285995424 usercpu_time_millis_testing 5000.677970005199 usercpu_time_millis_training 92240.00022100518 usercpu_time_millis_training 94296.91084200749 usercpu_time_millis_training 90755.82269698498 usercpu_time_millis_training 71132.91392999236 usercpu_time_millis_training 75112.86957500852 usercpu_time_millis_training 86376.98337002075 usercpu_time_millis_training 72147.14012900367 usercpu_time_millis_training 75329.58860800136 usercpu_time_millis_training 85414.9682430143 usercpu_time_millis_training 79733.02135200356 wall_clock_time_millis 97494.3311214447 wall_clock_time_millis 99653.77306938171 wall_clock_time_millis 94547.25551605225 wall_clock_time_millis 74980.02886772156 wall_clock_time_millis 79068.42756271362 wall_clock_time_millis 90310.02998352051 wall_clock_time_millis 76094.54846382141 wall_clock_time_millis 79947.52216339111 wall_clock_time_millis 89287.93096542358 wall_clock_time_millis 84738.3279800415 wall_clock_time_millis_testing 5245.115041732788 wall_clock_time_millis_testing 5343.733549118042 wall_clock_time_millis_testing 3788.7721061706543 wall_clock_time_millis_testing 3844.8712825775146 wall_clock_time_millis_testing 3952.5864124298096 wall_clock_time_millis_testing 3905.0207138061523 wall_clock_time_millis_testing 3943.0599212646484 wall_clock_time_millis_testing 4612.664461135864 wall_clock_time_millis_testing 3865.480899810791 wall_clock_time_millis_testing 5000.833511352539 wall_clock_time_millis_training 92249.21607971191 wall_clock_time_millis_training 94310.03952026367 wall_clock_time_millis_training 90758.48340988159 wall_clock_time_millis_training 71135.15758514404 wall_clock_time_millis_training 75115.84115028381 wall_clock_time_millis_training 86405.00926971436 wall_clock_time_millis_training 72151.48854255676 wall_clock_time_millis_training 75334.85770225525 wall_clock_time_millis_training 85422.4500656128 wall_clock_time_millis_training 79737.49446868896