10309441 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) 8170932 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 1000000000.0 15084 kernel "laplace" 15084 kernel_params "null" 15084 n_components 4000 15084 n_epoch 2 15084 random_state 26608 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 21540488 description https://api.openml.org/data/download/21540488/description.xml -1 21540489 predictions https://api.openml.org/data/download/21540489/predictions.arff area_under_roc_curve 0.9454572645977795 [0.945457,0.945457] average_cost 0 f_measure 0.9531362925979938 [0.918544,0.966967] kappa 0.8855156300907983 kb_relative_information_score 0.8751082193278568 mean_absolute_error 0.04700420716669085 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.953352839202217 [0.909399,0.970927] predictive_accuracy 0.9529957928333092 prior_entropy 0.8629999933345911 recall 0.9529957928333092 [0.927875,0.96304] relative_absolute_error 0.11518086415065706 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.21680453677608053 root_relative_squared_error 0.47996326823897817 total_cost 0 area_under_roc_curve 0.9532668865056494 [0.953267,0.953267] area_under_roc_curve 0.9526877574667948 [0.952688,0.952688] area_under_roc_curve 0.9524842581863615 [0.952484,0.952484] area_under_roc_curve 0.9553266503647317 [0.955327,0.955327] area_under_roc_curve 0.9558355016556224 [0.955836,0.955836] area_under_roc_curve 0.9554958953326332 [0.955496,0.955496] area_under_roc_curve 0.9546868498741852 [0.954687,0.954687] area_under_roc_curve 0.9587485882982307 [0.958749,0.958749] area_under_roc_curve 0.9518378540812215 [0.951838,0.951838] area_under_roc_curve 0.8641847958893887 [0.864185,0.864185] 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 0.9628205817438489 [0.934694,0.974058] f_measure 0.9619668630203076 [0.933333,0.973423] f_measure 0.9600255496687176 [0.930303,0.971917] f_measure 0.9606862182018011 [0.931795,0.972245] f_measure 0.9659681051510518 [0.940092,0.976321] f_measure 0.9659473508373717 [0.939969,0.97633] f_measure 0.9614800819400164 [0.932862,0.972918] f_measure 0.9671731062216202 [0.942376,0.977084] f_measure 0.9633105038391716 [0.935252,0.974525] f_measure 0.8643139969502084 [0.781264,0.897507] kappa 0.9087520412164408 kappa 0.9067561749458727 kappa 0.9022210071717667 kappa 0.9040459408365995 kappa 0.9164152520470854 kappa 0.9163025151469733 kappa 0.9057817668257124 kappa 0.9194605025574628 kappa 0.9097812038980199 kappa 0.6804235656497064 kb_relative_information_score 0.9013105729911799 kb_relative_information_score 0.8990424329271522 kb_relative_information_score 0.8936477537705849 kb_relative_information_score 0.8951890906724613 kb_relative_information_score 0.9098317912402802 kb_relative_information_score 0.9097769741410374 kb_relative_information_score 0.8974387825705812 kb_relative_information_score 0.9128615220336519 kb_relative_information_score 0.9028367413826563 kb_relative_information_score 0.6290831159131246 mean_absolute_error 0.03713373948360894 mean_absolute_error 0.03800406150275602 mean_absolute_error 0.04003481288076589 mean_absolute_error 0.03945459820133449 mean_absolute_error 0.033942558746736295 mean_absolute_error 0.033952408589669185 mean_absolute_error 0.03859547301218805 mean_absolute_error 0.032791642484039464 mean_absolute_error 0.03656413232733604 mean_absolute_error 0.1395821242019733 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 0.9627874530041208 [0.938525,0.972481] precision 0.9619426720749032 [0.935714,0.972436] precision 0.9601052240132623 [0.925628,0.973899] precision 0.9609375116329447 [0.920714,0.97703] precision 0.9659359907995086 [0.948347,0.972973] precision 0.9659187437375478 [0.949223,0.972592] precision 0.9615883221766816 [0.92678,0.9755] precision 0.9671475262555984 [0.945752,0.975699] precision 0.9632809649842631 [0.945946,0.970209] precision 0.87630334416496 [0.706996,0.943971] predictive_accuracy 0.962866260516391 predictive_accuracy 0.961995938497244 predictive_accuracy 0.9599651871192342 predictive_accuracy 0.9605454017986655 predictive_accuracy 0.9660574412532636 predictive_accuracy 0.9660475914103308 predictive_accuracy 0.9614045269878119 predictive_accuracy 0.9672083575159606 predictive_accuracy 0.963435867672664 predictive_accuracy 0.8604178757980268 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 0.962866260516391 [0.930894,0.975639] recall 0.961995938497244 [0.930964,0.974411] recall 0.9599651871192341 [0.935025,0.969943] recall 0.9605454017986655 [0.943147,0.967506] recall 0.9660574412532638 [0.93198,0.979691] recall 0.9660475914103308 [0.930894,0.980097] recall 0.961404526987812 [0.939024,0.970349] recall 0.9672083575159606 [0.939024,0.978473] recall 0.963435867672664 [0.924797,0.978879] recall 0.8604178757980266 [0.872967,0.855402] relative_absolute_error 0.09100895792690934 relative_absolute_error 0.09311359660935337 relative_absolute_error 0.09808913230603636 relative_absolute_error 0.09666755067841264 relative_absolute_error 0.08316252521598737 relative_absolute_error 0.08320477357960483 relative_absolute_error 0.09458320415459352 relative_absolute_error 0.08036016593585765 relative_absolute_error 0.08960514077803597 relative_absolute_error 0.3420640691605976 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 0.19270116627464645 root_mean_squared_error 0.19494630415259487 root_mean_squared_error 0.20008701327364023 root_mean_squared_error 0.19863181568251972 root_mean_squared_error 0.18423506383622065 root_mean_squared_error 0.184261793624368 root_mean_squared_error 0.19645730582543386 root_mean_squared_error 0.18108462796173358 root_mean_squared_error 0.19121750005513627 root_mean_squared_error 0.373606911341283 root_relative_squared_error 0.4266736672995765 root_relative_squared_error 0.43151324896568793 root_relative_squared_error 0.4428921981817421 root_relative_squared_error 0.4396711212643776 root_relative_squared_error 0.40780394024366684 root_relative_squared_error 0.40795192412925574 root_relative_squared_error 0.4349525441183834 root_relative_squared_error 0.4009177429251404 root_relative_squared_error 0.423351718987949 root_relative_squared_error 0.8271582260854996 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 179259.66177399823 usercpu_time_millis 163222.58426900225 usercpu_time_millis 172021.38780799578 usercpu_time_millis 168601.31239800103 usercpu_time_millis 160866.08636099845 usercpu_time_millis 156413.4111819949 usercpu_time_millis 170853.51595599786 usercpu_time_millis 147851.8125289993 usercpu_time_millis 153621.23885500478 usercpu_time_millis 163360.48655299965 usercpu_time_millis_testing 5409.510664998379 usercpu_time_millis_testing 5209.243700002844 usercpu_time_millis_testing 5209.278182999697 usercpu_time_millis_testing 5356.711345004442 usercpu_time_millis_testing 5102.638085998478 usercpu_time_millis_testing 5255.800963001093 usercpu_time_millis_testing 5075.164409994613 usercpu_time_millis_testing 4877.765413002635 usercpu_time_millis_testing 4986.391392005316 usercpu_time_millis_testing 4903.20426299877 usercpu_time_millis_training 173850.15110899985 usercpu_time_millis_training 158013.3405689994 usercpu_time_millis_training 166812.10962499608 usercpu_time_millis_training 163244.6010529966 usercpu_time_millis_training 155763.44827499997 usercpu_time_millis_training 151157.6102189938 usercpu_time_millis_training 165778.35154600325 usercpu_time_millis_training 142974.04711599665 usercpu_time_millis_training 148634.84746299946 usercpu_time_millis_training 158457.28229000088 wall_clock_time_millis 179273.25415611267 wall_clock_time_millis 163245.68462371826 wall_clock_time_millis 172032.11879730225 wall_clock_time_millis 168608.2353591919 wall_clock_time_millis 160919.3434715271 wall_clock_time_millis 156425.45747756958 wall_clock_time_millis 170861.90748214722 wall_clock_time_millis 147885.09845733643 wall_clock_time_millis 153635.60891151428 wall_clock_time_millis 163370.54204940796 wall_clock_time_millis_testing 5409.731864929199 wall_clock_time_millis_testing 5209.41948890686 wall_clock_time_millis_testing 5209.4407081604 wall_clock_time_millis_testing 5358.197450637817 wall_clock_time_millis_testing 5134.163618087769 wall_clock_time_millis_testing 5256.402969360352 wall_clock_time_millis_testing 5075.342178344727 wall_clock_time_millis_testing 4878.8347244262695 wall_clock_time_millis_testing 4987.956762313843 wall_clock_time_millis_testing 4904.143810272217 wall_clock_time_millis_training 173863.52229118347 wall_clock_time_millis_training 158036.2651348114 wall_clock_time_millis_training 166822.67808914185 wall_clock_time_millis_training 163250.03790855408 wall_clock_time_millis_training 155785.17985343933 wall_clock_time_millis_training 151169.05450820923 wall_clock_time_millis_training 165786.5653038025 wall_clock_time_millis_training 143006.26373291016 wall_clock_time_millis_training 148647.65214920044 wall_clock_time_millis_training 158466.39823913574