10591636 32117 VAIBHAV JAISWAL 146065 Supervised Classification precision 19161 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1) 8304079 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 algorithm "auto" 19154 leaf_size 30 19154 metric "minkowski" 19154 metric_params null 19154 n_jobs null 19154 n_neighbors 5 19154 p 2 19154 weights "uniform" 19154 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19161 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19161 verbose false 19161 openml-python Sklearn_1.0.2. 334 monks-problems-2 https://www.openml.org/data/download/52237/php4fATLZ -1 22110878 description https://api.openml.org/data/download/22110878/description.xml -1 22110879 predictions https://api.openml.org/data/download/22110879/predictions.arff area_under_roc_curve 0.9337962394002703 [0.933796,0.933796] average_cost 0 f_measure 0.8746775573248391 [0.905897,0.814815] kappa 0.7207543195574196 kb_relative_information_score 0.4894716726600415 mean_absolute_error 0.23860232945091578 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.8752079866888519 [0.913924,0.800971] number_of_instances 601 [395,206] precision 0.8744059075686542 [0.89801,0.829146] predictive_accuracy 0.8752079866888519 prior_entropy 0.9274381882789376 relative_absolute_error 0.5293845390930635 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.3229440280573444 root_relative_squared_error 0.6804078409501468 total_cost 0 unweighted_recall 0.8574474622096595 [0.913924,0.800971] area_under_roc_curve 0.9529761904761905 [0.952976,0.952976] area_under_roc_curve 0.9556249999999998 [0.955625,0.955625] area_under_roc_curve 0.9037500000000002 [0.90375,0.90375] area_under_roc_curve 0.9224999999999999 [0.9225,0.9225] area_under_roc_curve 0.91875 [0.91875,0.91875] area_under_roc_curve 0.9291819291819292 [0.929182,0.929182] area_under_roc_curve 0.9688644688644689 [0.968864,0.968864] area_under_roc_curve 0.9523809523809523 [0.952381,0.952381] area_under_roc_curve 0.9499389499389499 [0.949939,0.949939] area_under_roc_curve 0.8797313797313798 [0.879731,0.879731] 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 0.8858539598585057 [0.911392,0.837209] f_measure 0.9131652661064427 [0.941176,0.857143] f_measure 0.8681318681318682 [0.897436,0.809524] f_measure 0.8647839109970048 [0.902439,0.789474] f_measure 0.8207407407407408 [0.853333,0.755556] f_measure 0.8826489657301636 [0.911392,0.829268] f_measure 0.9325 [0.95,0.9] f_measure 0.9150047483380815 [0.938272,0.871795] f_measure 0.8810066476733144 [0.91358,0.820513] f_measure 0.7844457867713682 [0.831169,0.697674] kappa 0.7486756915832843 kappa 0.7999999999999999 kappa 0.7073170731707318 kappa 0.6923076923076924 kappa 0.6117647058823529 kappa 0.7407407407407407 kappa 0.850187265917603 kappa 0.8106060606060606 kappa 0.7348484848484848 kappa 0.5289855072463767 kb_relative_information_score 0.5420083234538905 kb_relative_information_score 0.5203987229753423 kb_relative_information_score 0.42017846293757577 kb_relative_information_score 0.4594161991660688 kb_relative_information_score 0.474293538355771 kb_relative_information_score 0.47967840025987196 kb_relative_information_score 0.5618057066121216 kb_relative_information_score 0.5341495707195714 kb_relative_information_score 0.5329692824581813 kb_relative_information_score 0.36785411457366657 mean_absolute_error 0.21639344262295085 mean_absolute_error 0.2266666666666667 mean_absolute_error 0.26333333333333336 mean_absolute_error 0.24666666666666665 mean_absolute_error 0.2366666666666666 mean_absolute_error 0.24666666666666662 mean_absolute_error 0.21666666666666667 mean_absolute_error 0.22333333333333336 mean_absolute_error 0.2233333333333333 mean_absolute_error 0.2866666666666667 mean_prior_absolute_error 0.4511866895033036 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 number_of_instances 61 [40,21] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] precision 0.8869654935228706 [0.923077,0.818182] precision 0.9259259259259259 [0.888889,1] precision 0.8716108452950557 [0.921053,0.772727] precision 0.8650793650793652 [0.880952,0.833333] precision 0.8361904761904762 [0.914286,0.68] precision 0.8825000000000001 [0.9,0.85] precision 0.9340179717586651 [0.926829,0.947368] precision 0.9186507936507937 [0.904762,0.944444] precision 0.8837301587301586 [0.880952,0.888889] precision 0.786004784688995 [0.842105,0.681818] predictive_accuracy 0.8852459016393442 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.8666666666666667 predictive_accuracy 0.8666666666666667 predictive_accuracy 0.8166666666666668 predictive_accuracy 0.8833333333333333 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.8833333333333333 predictive_accuracy 0.7833333333333333 prior_entropy 0.9288422097579495 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 relative_absolute_error 0.4796095444685463 relative_absolute_error 0.5062222222222218 relative_absolute_error 0.5881111111111106 relative_absolute_error 0.5508888888888882 relative_absolute_error 0.5285555555555549 relative_absolute_error 0.5445359692476655 relative_absolute_error 0.4783086216364631 relative_absolute_error 0.4930258099945081 relative_absolute_error 0.49302580999450796 relative_absolute_error 0.6328390993959357 root_mean_prior_squared_error 0.4751281144554437 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_squared_error 0.3008185554095501 root_mean_squared_error 0.3055050463303894 root_mean_squared_error 0.3511884584284247 root_mean_squared_error 0.33065591380365994 root_mean_squared_error 0.33166247903554 root_mean_squared_error 0.3265986323710905 root_mean_squared_error 0.288675134594813 root_mean_squared_error 0.3130495168499707 root_mean_squared_error 0.3065941943351179 root_mean_squared_error 0.3669695718539437 root_relative_squared_error 0.6331314570898964 root_relative_squared_error 0.6479297487010743 root_relative_squared_error 0.7448173192208656 root_relative_squared_error 0.7012709142147426 root_relative_squared_error 0.7034056860150028 root_relative_squared_error 0.6846689109444433 root_relative_squared_error 0.6051675372455303 root_relative_squared_error 0.6562650621568429 root_relative_squared_error 0.642732370351148 root_relative_squared_error 0.7693010080504805 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 unweighted_recall 0.8785714285714286 [0.9,0.857143] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.8625 [0.875,0.85] unweighted_recall 0.8375 [0.925,0.75] unweighted_recall 0.825 [0.8,0.85] unweighted_recall 0.8663003663003663 [0.923077,0.809524] unweighted_recall 0.9157509157509157 [0.974359,0.857143] unweighted_recall 0.8919413919413919 [0.974359,0.809524] unweighted_recall 0.8553113553113553 [0.948718,0.761905] unweighted_recall 0.7673992673992673 [0.820513,0.714286] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 16.99233055114746 wall_clock_time_millis 18.991470336914062 wall_clock_time_millis 19.988298416137695 wall_clock_time_millis 17.987966537475586 wall_clock_time_millis 15.989065170288086 wall_clock_time_millis 29.983043670654297 wall_clock_time_millis 32.98044204711914 wall_clock_time_millis 16.988039016723633 wall_clock_time_millis 16.988039016723633 wall_clock_time_millis 17.992019653320312 wall_clock_time_millis_testing 6.975650787353516 wall_clock_time_millis_testing 5.9986114501953125 wall_clock_time_millis_testing 5.995273590087891 wall_clock_time_millis_testing 7.014274597167969 wall_clock_time_millis_testing 5.995035171508789 wall_clock_time_millis_testing 9.993314743041992 wall_clock_time_millis_testing 11.991262435913086 wall_clock_time_millis_testing 5.9947967529296875 wall_clock_time_millis_testing 5.9986114501953125 wall_clock_time_millis_testing 5.994558334350586 wall_clock_time_millis_training 10.016679763793945 wall_clock_time_millis_training 12.99285888671875 wall_clock_time_millis_training 13.993024826049805 wall_clock_time_millis_training 10.973691940307617 wall_clock_time_millis_training 9.994029998779297 wall_clock_time_millis_training 19.989728927612305 wall_clock_time_millis_training 20.989179611206055 wall_clock_time_millis_training 10.993242263793945 wall_clock_time_millis_training 10.98942756652832 wall_clock_time_millis_training 11.997461318969727 weighted_recall 0.8852459016393442 [0.9,0.857143] weighted_recall 0.9166666666666666 [1,0.75] weighted_recall 0.8666666666666667 [0.875,0.85] weighted_recall 0.8666666666666667 [0.925,0.75] weighted_recall 0.8166666666666667 [0.8,0.85] weighted_recall 0.8833333333333333 [0.923077,0.809524] weighted_recall 0.9333333333333333 [0.974359,0.857143] weighted_recall 0.9166666666666666 [0.974359,0.809524] weighted_recall 0.8833333333333333 [0.948718,0.761905] weighted_recall 0.7833333333333333 [0.820513,0.714286]