10309831 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) 8171070 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 10.0 15084 kernel "rbf" 15084 kernel_params "null" 15084 n_components 1000 15084 n_epoch 2 15084 random_state 22481 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21541268 description https://api.openml.org/data/download/21541268/description.xml -1 21541269 predictions https://api.openml.org/data/download/21541269/predictions.arff area_under_roc_curve 0.9478717223073349 [0.947872,0.947872] average_cost 0 f_measure 0.9604698166779198 [0.93017,0.972584] kappa 0.9027610994199133 kb_relative_information_score 0.8953838602641401 mean_absolute_error 0.039373277237777456 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.9604413014168502 [0.942538,0.967599] predictive_accuracy 0.9606267227622226 prior_entropy 0.8629999933345911 recall 0.9606267227622225 [0.918123,0.977621] relative_absolute_error 0.09648174855088991 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.19842700732959073 root_relative_squared_error 0.4392789761736083 total_cost 0 area_under_roc_curve 0.9502181060178446 [0.950218,0.950218] area_under_roc_curve 0.9503527733220073 [0.950353,0.950353] area_under_roc_curve 0.925175149583311 [0.925175,0.925175] area_under_roc_curve 0.9503529795016228 [0.950353,0.950353] area_under_roc_curve 0.9482212884576527 [0.948221,0.948221] area_under_roc_curve 0.9486871173545204 [0.948687,0.948687] area_under_roc_curve 0.9538711999630151 [0.953871,0.953871] area_under_roc_curve 0.9514316802388169 [0.951432,0.951432] area_under_roc_curve 0.952040941002424 [0.952041,0.952041] area_under_roc_curve 0.9483820741944218 [0.948382,0.948382] 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 0.9610414382363945 [0.931423,0.972874] f_measure 0.9607692010498796 [0.931087,0.972644] f_measure 0.9460848521581894 [0.903564,0.963097] f_measure 0.9615990083984044 [0.932377,0.97329] f_measure 0.9615133063067397 [0.931889,0.973366] f_measure 0.9617996278500901 [0.93237,0.973562] f_measure 0.9636645409253476 [0.936127,0.974671] f_measure 0.9627399348483644 [0.934292,0.97411] f_measure 0.9635959099243926 [0.935733,0.974732] f_measure 0.961787288382674 [0.9323,0.973573] kappa 0.9042991597599741 kappa 0.9037328712075341 kappa 0.8667144681822213 kappa 0.9056703832899974 kappa 0.9052642624960544 kappa 0.9059411201154811 kappa 0.9107985615116139 kappa 0.9084054176627235 kappa 0.9104697309747919 kappa 0.9058831525534969 kb_relative_information_score 0.8966845061001409 kb_relative_information_score 0.8959597591234008 kb_relative_information_score 0.8581970050274486 kb_relative_information_score 0.8982717644762144 kb_relative_information_score 0.8982717644762142 kb_relative_information_score 0.898981056516888 kb_relative_information_score 0.9036078783558099 kb_relative_information_score 0.9012944674363496 kb_relative_information_score 0.9036078783558095 kb_relative_information_score 0.898981056516888 mean_absolute_error 0.0388743835219031 mean_absolute_error 0.0391644908616188 mean_absolute_error 0.05337975050768785 mean_absolute_error 0.038294168842471714 mean_absolute_error 0.038294168842471714 mean_absolute_error 0.03801508995937319 mean_absolute_error 0.03627394080092861 mean_absolute_error 0.0371445153801509 mean_absolute_error 0.03627394080092861 mean_absolute_error 0.03801508995937319 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 0.9609957262834515 [0.938144,0.970125] precision 0.9607265742660273 [0.936345,0.970481] precision 0.9463080610635481 [0.933911,0.951268] precision 0.9615559447041107 [0.941055,0.969758] precision 0.9615239966321154 [0.947534,0.967121] precision 0.9618052168904336 [0.947534,0.967509] precision 0.9636268333932118 [0.941418,0.972503] precision 0.9627034130474863 [0.943983,0.970185] precision 0.9635706053159487 [0.94693,0.970221] precision 0.9618062256763968 [0.948475,0.967134] predictive_accuracy 0.9611256164780968 predictive_accuracy 0.9608355091383812 predictive_accuracy 0.946620249492312 predictive_accuracy 0.9617058311575284 predictive_accuracy 0.9617058311575284 predictive_accuracy 0.9619849100406267 predictive_accuracy 0.9637260591990714 predictive_accuracy 0.9628554846198492 predictive_accuracy 0.9637260591990714 predictive_accuracy 0.9619849100406267 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 0.9611256164780969 [0.924797,0.975639] recall 0.9608355091383812 [0.925888,0.974817] recall 0.9466202494923122 [0.875127,0.975223] recall 0.9617058311575283 [0.923858,0.976848] recall 0.9617058311575283 [0.916751,0.979691] recall 0.9619849100406268 [0.917683,0.979691] recall 0.9637260591990714 [0.930894,0.976848] recall 0.9628554846198492 [0.924797,0.978067] recall 0.9637260591990714 [0.924797,0.979285] recall 0.9619849100406268 [0.916667,0.980097] relative_absolute_error 0.09527500282973321 relative_absolute_error 0.09595675986460078 relative_absolute_error 0.1307855097413818 relative_absolute_error 0.09382438742316519 relative_absolute_error 0.09382438742316519 relative_absolute_error 0.09316090033271993 relative_absolute_error 0.08889398886709918 relative_absolute_error 0.09102744459990955 relative_absolute_error 0.08889398886709918 relative_absolute_error 0.09316090033271993 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 0.1971658781886539 root_mean_squared_error 0.19790020429908303 root_mean_squared_error 0.23104058194976884 root_mean_squared_error 0.19568895942917094 root_mean_squared_error 0.19568895942917094 root_mean_squared_error 0.19497458798359643 root_mean_squared_error 0.1904571888927499 root_mean_squared_error 0.19272912436928388 root_mean_squared_error 0.1904571888927499 root_mean_squared_error 0.19497458798359643 root_relative_squared_error 0.4365593106644464 root_relative_squared_error 0.43805170095056684 root_relative_squared_error 0.5114078596844278 root_relative_squared_error 0.43315711491457004 root_relative_squared_error 0.43315711491457004 root_relative_squared_error 0.4316698364847463 root_relative_squared_error 0.4216684052877428 root_relative_squared_error 0.4266984249728816 root_relative_squared_error 0.4216684052877428 root_relative_squared_error 0.4316698364847463 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 84050.58366600133 usercpu_time_millis 82963.5783709964 usercpu_time_millis 85609.23263100267 usercpu_time_millis 88492.700073999 usercpu_time_millis 82232.32607700629 usercpu_time_millis 102427.07710999821 usercpu_time_millis 86843.53014201042 usercpu_time_millis 96686.40511800186 usercpu_time_millis 83990.15103001148 usercpu_time_millis 82458.39917598641 usercpu_time_millis_testing 4420.901965000667 usercpu_time_millis_testing 4180.0589749909705 usercpu_time_millis_testing 4155.333233997226 usercpu_time_millis_testing 4743.114081007661 usercpu_time_millis_testing 4069.0587730059633 usercpu_time_millis_testing 6289.216787001351 usercpu_time_millis_testing 3951.205197008676 usercpu_time_millis_testing 4128.778598998906 usercpu_time_millis_testing 4879.126719999476 usercpu_time_millis_testing 3958.218109997688 usercpu_time_millis_training 79629.68170100066 usercpu_time_millis_training 78783.51939600543 usercpu_time_millis_training 81453.89939700544 usercpu_time_millis_training 83749.58599299134 usercpu_time_millis_training 78163.26730400033 usercpu_time_millis_training 96137.86032299686 usercpu_time_millis_training 82892.32494500175 usercpu_time_millis_training 92557.62651900295 usercpu_time_millis_training 79111.024310012 usercpu_time_millis_training 78500.18106598873 wall_clock_time_millis 84056.7901134491 wall_clock_time_millis 82968.06025505066 wall_clock_time_millis 85613.73138427734 wall_clock_time_millis 88506.60538673401 wall_clock_time_millis 82236.52768135071 wall_clock_time_millis 102436.0568523407 wall_clock_time_millis 86853.45578193665 wall_clock_time_millis 96703.19867134094 wall_clock_time_millis 83993.41344833374 wall_clock_time_millis 82493.07441711426 wall_clock_time_millis_testing 4422.478199005127 wall_clock_time_millis_testing 4180.219411849976 wall_clock_time_millis_testing 4155.486106872559 wall_clock_time_millis_testing 4743.367433547974 wall_clock_time_millis_testing 4069.185256958008 wall_clock_time_millis_testing 6289.538383483887 wall_clock_time_millis_testing 3951.3657093048096 wall_clock_time_millis_testing 4129.0435791015625 wall_clock_time_millis_testing 4879.325151443481 wall_clock_time_millis_testing 3958.3423137664795 wall_clock_time_millis_training 79634.31191444397 wall_clock_time_millis_training 78787.84084320068 wall_clock_time_millis_training 81458.24527740479 wall_clock_time_millis_training 83763.23795318604 wall_clock_time_millis_training 78167.3424243927 wall_clock_time_millis_training 96146.51846885681 wall_clock_time_millis_training 82902.09007263184 wall_clock_time_millis_training 92574.15509223938 wall_clock_time_millis_training 79114.08829689026 wall_clock_time_millis_training 78534.73210334778