10591312 32117 VAIBHAV JAISWAL 59 Supervised Classification predictive_accuracy 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. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22110230 description https://api.openml.org/data/download/22110230/description.xml -1 22110231 predictions https://api.openml.org/data/download/22110231/predictions.arff area_under_roc_curve 0.9908333333333333 [1,0.9837,0.9888] average_cost 0 f_measure 0.96 [1,0.94,0.94] kappa 0.94 kb_relative_information_score 0.9122572071231838 mean_absolute_error 0.048000000000000015 mean_prior_absolute_error 0.44444444444444337 weighted_recall 0.96 [1,0.94,0.94] number_of_instances 150 [50,50,50] precision 0.96 [1,0.94,0.94] predictive_accuracy 0.96 prior_entropy 1.5849625007211599 relative_absolute_error 0.10800000000000029 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.15202339001321843 root_relative_squared_error 0.32249030993194244 total_cost 0 unweighted_recall 0.96 [1,0.94,0.94] area_under_roc_curve 0.9933333333333333 [1,0.99,0.99] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9366666666666668 [1,0.88,0.93] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] 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 0.9326599326599326 [1,0.909091,0.888889] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.861111111111111 [1,0.833333,0.75] f_measure 1 [1,1,1] f_measure 1 [1,1,1] kappa 0.9 kappa 1 kappa 0.9 kappa 0.9 kappa 1 kappa 0.9 kappa 1 kappa 0.8 kappa 1 kappa 1 kb_relative_information_score 0.8998579132373727 kb_relative_information_score 0.9244625963326087 kb_relative_information_score 0.9308561479519011 kb_relative_information_score 0.9443970821902353 kb_relative_information_score 0.9864590657616655 kb_relative_information_score 0.8331912465707059 kb_relative_information_score 0.9458362630466631 kb_relative_information_score 0.8666666666666665 kb_relative_information_score 0.9109216620942745 kb_relative_information_score 0.879923427379746 mean_absolute_error 0.05333333333333333 mean_absolute_error 0.044444444444444446 mean_absolute_error 0.035555555555555556 mean_absolute_error 0.026666666666666665 mean_absolute_error 0.008888888888888889 mean_absolute_error 0.08888888888888888 mean_absolute_error 0.035555555555555556 mean_absolute_error 0.06222222222222222 mean_absolute_error 0.05333333333333333 mean_absolute_error 0.07111111111111111 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] precision 0.9444444444444445 [1,0.833333,1] precision 1 [1,1,1] precision 0.9444444444444445 [1,1,0.833333] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] precision 0.9047619047619048 [1,0.714286,1] precision 1 [1,1,1] precision 1 [1,1,1] predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.8666666666666667 predictive_accuracy 1 predictive_accuracy 1 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 relative_absolute_error 0.11999999999999994 relative_absolute_error 0.09999999999999996 relative_absolute_error 0.07999999999999997 relative_absolute_error 0.05999999999999997 relative_absolute_error 0.019999999999999993 relative_absolute_error 0.1999999999999999 relative_absolute_error 0.07999999999999997 relative_absolute_error 0.13999999999999996 relative_absolute_error 0.11999999999999994 relative_absolute_error 0.15999999999999995 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_squared_error 0.1577621275493231 root_mean_squared_error 0.1264911064067352 root_mean_squared_error 0.13333333333333333 root_mean_squared_error 0.12649110640673517 root_mean_squared_error 0.042163702135578386 root_mean_squared_error 0.24585451886114365 root_mean_squared_error 0.08432740427115677 root_mean_squared_error 0.21081851067789195 root_mean_squared_error 0.13333333333333336 root_mean_squared_error 0.15776212754932312 root_relative_squared_error 0.33466401061363016 root_relative_squared_error 0.2683281572999748 root_relative_squared_error 0.282842712474619 root_relative_squared_error 0.2683281572999747 root_relative_squared_error 0.08944271909999156 root_relative_squared_error 0.5215361924162119 root_relative_squared_error 0.17888543819998312 root_relative_squared_error 0.44721359549995787 root_relative_squared_error 0.282842712474619 root_relative_squared_error 0.3346640106136302 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 0.9333333333333332 [1,1,0.8] unweighted_recall 1 [1,1,1] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.8666666666666667 [1,1,0.6] unweighted_recall 1 [1,1,1] unweighted_recall 1 [1,1,1] usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 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 0 usercpu_time_millis_testing 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_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 8.996009826660156 wall_clock_time_millis 10.992765426635742 wall_clock_time_millis 8.995532989501953 wall_clock_time_millis 7.994890213012695 wall_clock_time_millis 8.995532989501953 wall_clock_time_millis 9.015798568725586 wall_clock_time_millis 8.01992416381836 wall_clock_time_millis 15.992403030395508 wall_clock_time_millis 21.988630294799805 wall_clock_time_millis 10.990619659423828 wall_clock_time_millis_testing 3.9975643157958984 wall_clock_time_millis_testing 4.997730255126953 wall_clock_time_millis_testing 2.9990673065185547 wall_clock_time_millis_testing 2.9981136322021484 wall_clock_time_millis_testing 2.9973983764648438 wall_clock_time_millis_testing 5.017280578613281 wall_clock_time_millis_testing 3.000020980834961 wall_clock_time_millis_testing 4.993915557861328 wall_clock_time_millis_testing 6.99615478515625 wall_clock_time_millis_testing 3.9949417114257812 wall_clock_time_millis_training 4.998445510864258 wall_clock_time_millis_training 5.995035171508789 wall_clock_time_millis_training 5.996465682983398 wall_clock_time_millis_training 4.996776580810547 wall_clock_time_millis_training 5.998134613037109 wall_clock_time_millis_training 3.9985179901123047 wall_clock_time_millis_training 5.019903182983398 wall_clock_time_millis_training 10.99848747253418 wall_clock_time_millis_training 14.992475509643555 wall_clock_time_millis_training 6.995677947998047 weighted_recall 0.9333333333333333 [1,1,0.8] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1] weighted_recall 0.8666666666666667 [1,1,0.6] weighted_recall 1 [1,1,1] weighted_recall 1 [1,1,1]