10591757 31244 Sharath Kumar Reddy Alijarla 3 Supervised Classification 18983 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2) 8304530 Python_3.7.3. Sklearn_0.20.0. NumPy_1.21.5. SciPy_1.7.3. n_jobs null 18952 remainder "passthrough" 18952 sparse_threshold 0.3 18952 transformer_weights null 18952 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]}}] 18952 memory null 18953 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 18953 axis 0 18954 copy true 18954 missing_values "NaN" 18954 strategy "most_frequent" 18954 verbose 0 18954 copy true 18955 with_mean true 18955 with_std true 18955 memory null 18956 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 18956 copy true 18957 fill_value -1 18957 missing_values NaN 18957 strategy "constant" 18957 verbose 0 18957 categorical_features null 18958 categories null 18958 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 18958 handle_unknown "ignore" 18958 n_values null 18958 sparse true 18958 threshold 0.0 18959 class_weight null 18971 criterion "gini" 18971 max_depth null 18971 max_features 1.0 18971 max_leaf_nodes null 18971 min_impurity_decrease 0.0 18971 min_impurity_split null 18971 min_samples_leaf 1 18971 min_samples_split 3 18971 min_weight_fraction_leaf 0.0 18971 presort false 18971 random_state 0 18971 splitter "best" 18971 memory null 18983 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 18983 openml-python Sklearn_0.20.0. 3 kr-vs-kp https://www.openml.org/data/download/3/dataset_3_kr-vs-kp.arff -1 22111647 description https://api.openml.org/data/download/22111647/description.xml -1 22111648 predictions https://api.openml.org/data/download/22111648/predictions.arff area_under_roc_curve 0.9965574717988137 [0.996557,0.996557] average_cost 0 f_measure 0.9959323584597107 [0.996107,0.995742] kappa 0.9918485127675504 kb_relative_information_score 0.9912131692132892 mean_absolute_error 0.004380475594493116 mean_prior_absolute_error 0.49901358092237413 weighted_recall 0.9959324155193993 [0.996405,0.995416] number_of_instances 3196 [1669,1527] precision 0.9959324967987478 [0.995808,0.996068] predictive_accuracy 0.9959324155193993 prior_entropy 0.998575539213492 relative_absolute_error 0.008778269293585694 root_mean_prior_squared_error 0.49950623821173523 root_mean_squared_error 0.06253909915928249 root_relative_squared_error 0.12520183808549926 total_cost 0 unweighted_recall 0.995910440510986 [0.996405,0.995416] area_under_roc_curve 0.993738014167743 [0.993738,0.993738] area_under_roc_curve 0.9940119760479043 [0.994012,0.994012] area_under_roc_curve 0.9967320261437909 [0.996732,0.996732] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9966926529648004 [0.996693,0.996693] area_under_roc_curve 0.9933619602899463 [0.993362,0.993362] area_under_roc_curve 0.9940119760479041 [0.994012,0.994012] area_under_roc_curve 0.9970059880239521 [0.997006,0.997006] 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 0.99375 [0.994012,0.993464] f_measure 0.9937514669065873 [0.993976,0.993506] f_measure 0.9968745412282848 [0.997015,0.996721] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.9937285550990084 [0.994012,0.993421] f_measure 0.9905906048577243 [0.991098,0.990033] f_measure 0.9937320120731251 [0.993976,0.993464] f_measure 0.9968656358707234 [0.996997,0.996721] kappa 0.987476028335486 kappa 0.9874828867592412 kappa 0.9937362981522079 kappa 1 kappa 1 kappa 1 kappa 0.9874335237344888 kappa 0.9811328194310273 kappa 0.9874404504114335 kappa 0.9937183703207766 kb_relative_information_score 0.9874648958661568 kb_relative_information_score 0.9843266648818169 kb_relative_information_score 0.9937324479330784 kb_relative_information_score 0.9968617690156598 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 0.9874280199734252 kb_relative_information_score 0.9811344390182147 kb_relative_information_score 0.9874229593454765 kb_relative_information_score 0.9937114796727383 mean_absolute_error 0.00625 mean_absolute_error 0.0078125 mean_absolute_error 0.003125 mean_absolute_error 0.0015625 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.006269592476489028 mean_absolute_error 0.009404388714733543 mean_absolute_error 0.006269592476489028 mean_absolute_error 0.003134796238244514 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.4990286898061312 mean_prior_absolute_error 0.49909524173611874 mean_prior_absolute_error 0.4989560481570598 mean_prior_absolute_error 0.4989560481570598 mean_prior_absolute_error 0.4989560481570598 number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 320 [167,153] number_of_instances 319 [166,153] number_of_instances 319 [167,152] number_of_instances 319 [167,152] number_of_instances 319 [167,152] precision 0.99375 [0.994012,0.993464] precision 0.9938306451612903 [1,0.987097] precision 0.9968936011904763 [0.994048,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 0.9938050455291835 [0.988095,1] precision 0.9907615710861145 [0.982353,1] precision 0.9938118308024265 [1,0.987013] precision 0.9968856926260579 [1,0.993464] predictive_accuracy 0.99375 predictive_accuracy 0.99375 predictive_accuracy 0.996875 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.993730407523511 predictive_accuracy 0.9905956112852665 predictive_accuracy 0.993730407523511 predictive_accuracy 0.9968652037617555 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9986191629215038 prior_entropy 0.9988113175509788 prior_entropy 0.9984094255154751 prior_entropy 0.9984094255154751 prior_entropy 0.9984094255154751 relative_absolute_error 0.012524330018837349 relative_absolute_error 0.015655412523546686 relative_absolute_error 0.006262165009418674 relative_absolute_error 0.003131082504709337 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.012561915947505428 relative_absolute_error 0.018848130510632187 relative_absolute_error 0.012565420340421457 relative_absolute_error 0.006282710170210729 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995213618016774 root_mean_prior_squared_error 0.4995879730599906 root_mean_prior_squared_error 0.49944864525507615 root_mean_prior_squared_error 0.49944864525507615 root_mean_prior_squared_error 0.49944864525507615 root_mean_squared_error 0.07905694150420949 root_mean_squared_error 0.08385254915624211 root_mean_squared_error 0.05590169943749474 root_mean_squared_error 0.02795084971874737 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.06857254813237416 root_mean_squared_error 0.08852677897456387 root_mean_squared_error 0.07918075824648958 root_mean_squared_error 0.055989251095585425 root_relative_squared_error 0.15826538672753915 root_relative_squared_error 0.1678657922732315 root_relative_squared_error 0.11191052818215436 root_relative_squared_error 0.05595526409107718 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.1372582044206656 root_relative_squared_error 0.17724901211685518 root_relative_squared_error 0.1585363360151888 root_relative_squared_error 0.11210211826080906 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 0.993738014167743 [0.994012,0.993464] unweighted_recall 0.9940119760479043 [0.988024,1] unweighted_recall 0.9967320261437909 [1,0.993464] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9934640522875817 [1,0.986928] unweighted_recall 0.9901315789473684 [1,0.980263] unweighted_recall 0.9940119760479043 [0.988024,1] unweighted_recall 0.9970059880239521 [0.994012,1] usercpu_time_millis 78.125 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 78.125 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 78.125 usercpu_time_millis 62.5 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 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_training 78.125 usercpu_time_millis_training 62.5 usercpu_time_millis_training 46.875 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 46.875 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 wall_clock_time_millis 78.2320499420166 wall_clock_time_millis 64.16940689086914 wall_clock_time_millis 63.16661834716797 wall_clock_time_millis 64.17107582092285 wall_clock_time_millis 62.19077110290527 wall_clock_time_millis 64.17083740234375 wall_clock_time_millis 66.1768913269043 wall_clock_time_millis 64.17059898376465 wall_clock_time_millis 63.169240951538086 wall_clock_time_millis 67.17848777770996 wall_clock_time_millis_testing 7.046222686767578 wall_clock_time_millis_testing 7.018804550170898 wall_clock_time_millis_testing 6.041765213012695 wall_clock_time_millis_testing 7.017612457275391 wall_clock_time_millis_testing 7.043123245239258 wall_clock_time_millis_testing 7.039308547973633 wall_clock_time_millis_testing 8.022785186767578 wall_clock_time_millis_testing 7.018804550170898 wall_clock_time_millis_testing 8.022785186767578 wall_clock_time_millis_testing 8.022546768188477 wall_clock_time_millis_training 71.18582725524902 wall_clock_time_millis_training 57.15060234069824 wall_clock_time_millis_training 57.12485313415527 wall_clock_time_millis_training 57.15346336364746 wall_clock_time_millis_training 55.147647857666016 wall_clock_time_millis_training 57.13152885437012 wall_clock_time_millis_training 58.15410614013672 wall_clock_time_millis_training 57.15179443359375 wall_clock_time_millis_training 55.14645576477051 wall_clock_time_millis_training 59.155941009521484 weighted_recall 0.99375 [0.994012,0.993464] weighted_recall 0.99375 [0.988024,1] weighted_recall 0.996875 [1,0.993464] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9937304075235109 [1,0.986928] weighted_recall 0.9905956112852664 [1,0.980263] weighted_recall 0.9937304075235109 [0.988024,1] weighted_recall 0.9968652037617555 [0.994012,1]