10560510 6691 Sergey Redyuk 15 Supervised Classification 18928 sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(9) 8276911 Python_3.6.14. Sklearn_0.19.1. NumPy_1.16.6. SciPy_0.19.0. memory null 18928 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 18928 axis 0 18929 copy true 18929 missing_values "NaN" 18929 strategy "mean" 18929 verbose 0 18929 class_weight null 18930 criterion "gini" 18930 max_depth null 18930 max_features null 18930 max_leaf_nodes null 18930 min_impurity_decrease 0.0 18930 min_impurity_split null 18930 min_samples_leaf 1 18930 min_samples_split 2 18930 min_weight_fraction_leaf 0.0 18930 presort false 18930 random_state 2890 18930 splitter "best" 18930 openml-python Sklearn_0.19.1. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 22047105 description https://api.openml.org/data/download/22047105/description.xml -1 22047106 predictions https://api.openml.org/data/download/22047106/predictions.arff area_under_roc_curve 0.9348149087680516 [0.934815,0.934815] average_cost 0 f_measure 0.9440064648110029 [0.957746,0.917895] kappa 0.8756551129599474 kb_relative_information_score 0.8711998239284662 mean_absolute_error 0.055793991416309016 mean_prior_absolute_error 0.4519499019385762 weighted_recall 0.944206008583691 [0.965066,0.904564] number_of_instances 699 [458,241] precision 0.9440166009735441 [0.950538,0.931624] predictive_accuracy 0.944206008583691 prior_entropy 0.92931856324281 relative_absolute_error 0.1234517170531257 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.23620751769642942 root_relative_squared_error 0.496969164186007 total_cost 0 unweighted_recall 0.9348149087680516 [0.965066,0.904564] area_under_roc_curve 0.9365942028985509 [0.936594,0.936594] area_under_roc_curve 0.947463768115942 [0.947464,0.947464] area_under_roc_curve 0.9791666666666665 [0.979167,0.979167] area_under_roc_curve 0.9782608695652174 [0.978261,0.978261] area_under_roc_curve 0.8740942028985508 [0.874094,0.874094] area_under_roc_curve 0.9266304347826088 [0.92663,0.92663] area_under_roc_curve 0.9375 [0.9375,0.9375] area_under_roc_curve 0.8940217391304348 [0.894022,0.894022] area_under_roc_curve 0.9377777777777778 [0.937778,0.937778] area_under_roc_curve 0.9361111111111111 [0.936111,0.936111] 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 0.9428571428571428 [0.956522,0.916667] f_measure 0.9569173448377291 [0.967742,0.93617] f_measure 0.9856391149459097 [0.989247,0.978723] f_measure 0.9716825396825397 [0.977778,0.96] f_measure 0.8982456140350877 [0.926316,0.844444] f_measure 0.9422228095678605 [0.957447,0.913043] f_measure 0.956390977443609 [0.968421,0.933333] f_measure 0.9004709576138148 [0.923077,0.857143] f_measure 0.9428571428571428 [0.955556,0.92] f_measure 0.9420289855072463 [0.955556,0.916667] kappa 0.8731884057971014 kappa 0.9039341262580056 kappa 0.9679780420860019 kappa 0.9378330373001776 kappa 0.7712418300653595 kappa 0.8706099815157116 kappa 0.9019607843137256 kappa 0.7802690582959642 kappa 0.8755555555555555 kappa 0.8722222222222221 kb_relative_information_score 0.867833660462011 kb_relative_information_score 0.9008752453465084 kb_relative_information_score 0.9669584151155027 kb_relative_information_score 0.9339168302310057 kb_relative_information_score 0.7687089058085198 kb_relative_information_score 0.8678336604620114 kb_relative_information_score 0.9008752453465084 kb_relative_information_score 0.7687089058085198 kb_relative_information_score 0.8696871296889499 kb_relative_information_score 0.8665782713847476 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.014285714285714285 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.1 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.1 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.057971014492753624 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45577746077032805 mean_prior_absolute_error 0.45289338212491465 number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [45,25] number_of_instances 69 [45,24] precision 0.9428571428571428 [0.956522,0.916667] precision 0.9571296418659971 [0.957447,0.956522] precision 0.9860182370820668 [0.978723,1] precision 0.9736263736263737 [1,0.923077] precision 0.9002915451895044 [0.897959,0.904762] precision 0.9433441558441558 [0.9375,0.954545] precision 0.9597667638483965 [0.938776,1] precision 0.9013333333333333 [0.933333,0.84] precision 0.9428571428571428 [0.955556,0.92] precision 0.9420289855072463 [0.955556,0.916667] predictive_accuracy 0.942857142857143 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9420289855072465 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9407371142179634 prior_entropy 0.9321331970800204 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.09495214014809465 relative_absolute_error 0.03165071338269822 relative_absolute_error 0.06330142676539643 relative_absolute_error 0.2215549936788875 relative_absolute_error 0.12660285353079287 relative_absolute_error 0.09495214014809465 relative_absolute_error 0.2215549936788875 relative_absolute_error 0.1253744690364409 relative_absolute_error 0.128001460786999 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.4793057111336632 root_mean_prior_squared_error 0.4762876085727333 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.11952286093343936 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.31622776601683794 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.31622776601683794 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.2407717061715384 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.43613377923190605 root_relative_squared_error 0.25180195484222984 root_relative_squared_error 0.35610173956993896 root_relative_squared_error 0.6662053521524564 root_relative_squared_error 0.5036039096844597 root_relative_squared_error 0.43613377923190605 root_relative_squared_error 0.6662053521524564 root_relative_squared_error 0.49873330593429216 root_relative_squared_error 0.5055174685166525 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 0.9365942028985508 [0.956522,0.916667] unweighted_recall 0.947463768115942 [0.978261,0.916667] unweighted_recall 0.9791666666666667 [1,0.958333] unweighted_recall 0.9782608695652174 [0.956522,1] unweighted_recall 0.8740942028985508 [0.956522,0.791667] unweighted_recall 0.9266304347826086 [0.978261,0.875] unweighted_recall 0.9375 [1,0.875] unweighted_recall 0.8940217391304348 [0.913043,0.875] unweighted_recall 0.9377777777777778 [0.955556,0.92] unweighted_recall 0.9361111111111111 [0.955556,0.916667] usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 wall_clock_time_millis 5.470991134643555 wall_clock_time_millis 2.2819042205810547 wall_clock_time_millis 2.2399425506591797 wall_clock_time_millis 2.3393630981445312 wall_clock_time_millis 3.232717514038086 wall_clock_time_millis 2.2428035736083984 wall_clock_time_millis 2.2306442260742188 wall_clock_time_millis 2.2051334381103516 wall_clock_time_millis 2.218961715698242 wall_clock_time_millis 2.5353431701660156 wall_clock_time_millis_testing 0.3371238708496094 wall_clock_time_millis_testing 0.2601146697998047 wall_clock_time_millis_testing 0.2608299255371094 wall_clock_time_millis_testing 0.30303001403808594 wall_clock_time_millis_testing 0.35881996154785156 wall_clock_time_millis_testing 0.27108192443847656 wall_clock_time_millis_testing 0.2770423889160156 wall_clock_time_millis_testing 0.2543926239013672 wall_clock_time_millis_testing 0.2758502960205078 wall_clock_time_millis_testing 0.3142356872558594 wall_clock_time_millis_training 5.133867263793945 wall_clock_time_millis_training 2.02178955078125 wall_clock_time_millis_training 1.9791126251220703 wall_clock_time_millis_training 2.0363330841064453 wall_clock_time_millis_training 2.8738975524902344 wall_clock_time_millis_training 1.9717216491699219 wall_clock_time_millis_training 1.9536018371582031 wall_clock_time_millis_training 1.9507408142089844 wall_clock_time_millis_training 1.9431114196777344 wall_clock_time_millis_training 2.2211074829101562 weighted_recall 0.9428571428571428 [0.956522,0.916667] weighted_recall 0.9571428571428572 [0.978261,0.916667] weighted_recall 0.9857142857142858 [1,0.958333] weighted_recall 0.9714285714285714 [0.956522,1] weighted_recall 0.9 [0.956522,0.791667] weighted_recall 0.9428571428571428 [0.978261,0.875] weighted_recall 0.9571428571428572 [1,0.875] weighted_recall 0.9 [0.913043,0.875] weighted_recall 0.9428571428571428 [0.955556,0.92] weighted_recall 0.9420289855072463 [0.955556,0.916667]