10437774 11497 Fares Gaaloul 3491 Supervised Classification predictive_accuracy 17576 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(8) 8260894 memory null 17576 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 17576 copy true 17577 fill_value null 17577 missing_values NaN 17577 strategy "mean" 17577 verbose 0 17577 class_weight null 17578 criterion "gini" 17578 max_depth null 17578 max_features null 17578 max_leaf_nodes null 17578 min_impurity_decrease 0.0 17578 min_impurity_split null 17578 min_samples_leaf 1 17578 min_samples_split 2 17578 min_weight_fraction_leaf 0.0 17578 presort false 17578 random_state 47560 17578 splitter "best" 17578 openml-python Sklearn_0.20.1. 329 hayes-roth https://www.openml.org/data/download/52233/phpRql5hp -1 21799901 description https://api.openml.org/data/download/21799901/description.xml -1 21799902 predictions https://api.openml.org/data/download/21799902/predictions.arff area_under_roc_curve 0.9179403097587719 [0.900972,0.895426,1,0.0] average_cost 0 f_measure 0.8058999548328817 [0.77037,0.747967,1,0.0] kappa 0.6959480169190216 kb_relative_information_score 0.7724836826545944 mean_absolute_error 0.08177083333333335 mean_prior_absolute_error 0.32008384146341484 weighted_recall 0.80625 [0.8,0.71875,1,0.0] number_of_instances 160 [65,64,31,0] precision 0.8074001210653753 [0.742857,0.779661,1,0.0] predictive_accuracy 0.80625 prior_entropy 1.5243197684173315 relative_absolute_error 0.25546692066515847 root_mean_prior_squared_error 0.39921449307516527 root_mean_squared_error 0.25147136461677344 root_relative_squared_error 0.6299154188508524 total_cost 0 area_under_roc_curve 0.8878472222222222 [0.865079,0.858333,1,0.0] area_under_roc_curve 0.9444444444444444 [0.944444,0.916667,1,0.0] area_under_roc_curve 0.8350694444444444 [0.801587,0.791667,1,0.0] area_under_roc_curve 1 [1,1,1,0.0] area_under_roc_curve 0.8680555555555556 [0.84127,0.833333,1,0.0] area_under_roc_curve 0.9874999999999999 [0.983333,0.983333,1,0.0] area_under_roc_curve 0.9444444444444444 [0.916667,0.944444,1,0.0] area_under_roc_curve 0.9274305555555555 [0.908333,0.912698,1,0.0] area_under_roc_curve 0.9802083333333333 [0.975,0.97619,1,0.0] area_under_roc_curve 0.8208333333333333 [0.8,0.761905,1,0.0] 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 average_cost 0 f_measure 0.8102272727272727 [0.8,0.727273,1,0.0] f_measure 0.9367424242424243 [0.933333,0.909091,1,0.0] f_measure 0.6629901960784313 [0.705882,0.444444,1,0.0] f_measure 0.8735119047619047 [0.833333,0.857143,1,0.0] f_measure 0.75 [0.714286,0.666667,1,0.0] f_measure 0.9370629370629371 [0.923077,0.909091,1,0.0] f_measure 0.7977941176470589 [0.666667,0.823529,1,0.0] f_measure 0.75 [0.666667,0.714286,1,0.0] f_measure 0.8735119047619047 [0.857143,0.833333,1,0.0] f_measure 0.6205357142857143 [0.571429,0.5,1,0.0] kappa 0.7018633540372671 kappa 0.9006211180124224 kappa 0.4968553459119497 kappa 0.8048780487804879 kappa 0.6049382716049383 kappa 0.9047619047619048 kappa 0.6981132075471698 kappa 0.6049382716049383 kappa 0.8048780487804879 kappa 0.4146341463414634 kb_relative_information_score 0.7694089836285758 kb_relative_information_score 0.9150028449855785 kb_relative_information_score 0.6261219419307185 kb_relative_information_score 0.8376134127783733 kb_relative_information_score 0.7088122772859949 kb_relative_information_score 0.9021172362185256 kb_relative_information_score 0.7943000570280714 kb_relative_information_score 0.7357593000510991 kb_relative_information_score 0.8498494446856545 kb_relative_information_score 0.5803918663022397 mean_absolute_error 0.08333333333333334 mean_absolute_error 0.03125 mean_absolute_error 0.13541666666666669 mean_absolute_error 0.05729166666666667 mean_absolute_error 0.10416666666666669 mean_absolute_error 0.036458333333333336 mean_absolute_error 0.07291666666666667 mean_absolute_error 0.09375 mean_absolute_error 0.0546875 mean_absolute_error 0.14843750000000003 mean_prior_absolute_error 0.31935975609756095 mean_prior_absolute_error 0.31935975609756095 mean_prior_absolute_error 0.31935975609756095 mean_prior_absolute_error 0.31935975609756095 mean_prior_absolute_error 0.31935975609756095 mean_prior_absolute_error 0.3258384146341463 mean_prior_absolute_error 0.31955030487804875 mean_prior_absolute_error 0.31955030487804875 mean_prior_absolute_error 0.31955030487804875 mean_prior_absolute_error 0.31955030487804875 number_of_instances 16 [7,6,3,0] number_of_instances 16 [7,6,3,0] number_of_instances 16 [7,6,3,0] number_of_instances 16 [7,6,3,0] number_of_instances 16 [7,6,3,0] number_of_instances 16 [6,6,4,0] number_of_instances 16 [6,7,3,0] number_of_instances 16 [6,7,3,0] number_of_instances 16 [6,7,3,0] number_of_instances 16 [6,7,3,0] precision 0.815625 [0.75,0.8,1,0.0] precision 0.9453125 [0.875,1,1,0.0] precision 0.7 [0.6,0.666667,1,0.0] precision 0.90625 [1,0.75,1,0.0] precision 0.75 [0.714286,0.666667,1,0.0] precision 0.9464285714285714 [0.857143,1,1,0.0] precision 0.8687499999999999 [1,0.7,1,0.0] precision 0.75 [0.666667,0.714286,1,0.0] precision 0.90625 [0.75,1,1,0.0] precision 0.6375 [0.5,0.6,1,0.0] predictive_accuracy 0.8125 predictive_accuracy 0.9375 predictive_accuracy 0.6875 predictive_accuracy 0.875 predictive_accuracy 0.75 predictive_accuracy 0.9375 predictive_accuracy 0.8125 predictive_accuracy 0.75 predictive_accuracy 0.875 predictive_accuracy 0.625 prior_entropy 1.51724164751309 prior_entropy 1.51724164751309 prior_entropy 1.51724164751309 prior_entropy 1.51724164751309 prior_entropy 1.51724164751309 prior_entropy 1.5825162799729933 prior_entropy 1.518618291658715 prior_entropy 1.518618291658715 prior_entropy 1.518618291658715 prior_entropy 1.518618291658715 relative_absolute_error 0.26093874303898174 relative_absolute_error 0.09785202863961814 relative_absolute_error 0.4240254574383453 relative_absolute_error 0.17939538583929995 relative_absolute_error 0.3261734287987272 relative_absolute_error 0.1118908382066277 relative_absolute_error 0.2281852514410654 relative_absolute_error 0.2933810375670841 relative_absolute_error 0.17113893858079904 relative_absolute_error 0.46451997614788326 root_mean_prior_squared_error 0.39830657302561234 root_mean_prior_squared_error 0.39830657302561234 root_mean_prior_squared_error 0.39830657302561234 root_mean_prior_squared_error 0.39830657302561234 root_mean_prior_squared_error 0.39830657302561234 root_mean_prior_squared_error 0.4063579513827591 root_mean_prior_squared_error 0.39854569988383426 root_mean_prior_squared_error 0.39854569988383426 root_mean_prior_squared_error 0.39854569988383426 root_mean_prior_squared_error 0.39854569988383426 root_mean_squared_error 0.27638539919628335 root_mean_squared_error 0.1767766952966369 root_mean_squared_error 0.32542706982944397 root_mean_squared_error 0.1886538570445295 root_mean_squared_error 0.3004626062886658 root_mean_squared_error 0.1473139127471974 root_mean_squared_error 0.2429563289518875 root_mean_squared_error 0.23935677693908453 root_mean_squared_error 0.18221724671391565 root_mean_squared_error 0.3489194630092547 root_relative_squared_error 0.693901175410708 root_relative_squared_error 0.443820683032689 root_relative_squared_error 0.817026611831781 root_relative_squared_error 0.4736398287667688 root_relative_squared_error 0.7543501077732531 root_relative_squared_error 0.3625225303108161 root_relative_squared_error 0.6096072019412153 root_relative_squared_error 0.6005754848411382 root_relative_squared_error 0.4572054014559115 root_relative_squared_error 0.8754816903330175 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 2.1183069999892723 usercpu_time_millis 2.0835059999768646 usercpu_time_millis 1.9506280000030074 usercpu_time_millis 2.05646599998488 usercpu_time_millis 1.772142000007193 usercpu_time_millis 1.7005410000052734 usercpu_time_millis 1.6864420000075597 usercpu_time_millis 1.6681600000083563 usercpu_time_millis 1.7699870000029705 usercpu_time_millis 1.8372589999984257 usercpu_time_millis_testing 0.26947599999971317 usercpu_time_millis_testing 0.2811529999888762 usercpu_time_millis_testing 0.24855600000250888 usercpu_time_millis_testing 0.3183359999923141 usercpu_time_millis_testing 0.26486400000180765 usercpu_time_millis_testing 0.26661600000466024 usercpu_time_millis_testing 0.25922100000741466 usercpu_time_millis_testing 0.22510099999806243 usercpu_time_millis_testing 0.2377450000068393 usercpu_time_millis_testing 0.29682699999966644 usercpu_time_millis_training 1.8488309999895591 usercpu_time_millis_training 1.8023529999879884 usercpu_time_millis_training 1.7020720000004985 usercpu_time_millis_training 1.738129999992566 usercpu_time_millis_training 1.5072780000053854 usercpu_time_millis_training 1.4339250000006132 usercpu_time_millis_training 1.427221000000145 usercpu_time_millis_training 1.4430590000102939 usercpu_time_millis_training 1.5322419999961312 usercpu_time_millis_training 1.5404319999987592 wall_clock_time_millis 2.140045166015625 wall_clock_time_millis 2.1047592163085938 wall_clock_time_millis 1.9631385803222656 wall_clock_time_millis 2.1440982818603516 wall_clock_time_millis 1.7752647399902344 wall_clock_time_millis 1.7058849334716797 wall_clock_time_millis 1.6994476318359375 wall_clock_time_millis 1.6722679138183594 wall_clock_time_millis 1.771688461303711 wall_clock_time_millis 1.9085407257080078 wall_clock_time_millis_testing 0.2713203430175781 wall_clock_time_millis_testing 0.2834796905517578 wall_clock_time_millis_testing 0.2505779266357422 wall_clock_time_millis_testing 0.32067298889160156 wall_clock_time_millis_testing 0.2665519714355469 wall_clock_time_millis_testing 0.26988983154296875 wall_clock_time_millis_testing 0.26106834411621094 wall_clock_time_millis_testing 0.22721290588378906 wall_clock_time_millis_testing 0.2391338348388672 wall_clock_time_millis_testing 0.2994537353515625 wall_clock_time_millis_training 1.8687248229980469 wall_clock_time_millis_training 1.821279525756836 wall_clock_time_millis_training 1.7125606536865234 wall_clock_time_millis_training 1.82342529296875 wall_clock_time_millis_training 1.5087127685546875 wall_clock_time_millis_training 1.435995101928711 wall_clock_time_millis_training 1.4383792877197266 wall_clock_time_millis_training 1.4450550079345703 wall_clock_time_millis_training 1.5325546264648438 wall_clock_time_millis_training 1.6090869903564453 weighted_recall 0.8125 [0.857143,0.666667,1,0.0] weighted_recall 0.9375 [1,0.833333,1,0.0] weighted_recall 0.6875 [0.857143,0.333333,1,0.0] weighted_recall 0.875 [0.714286,1,1,0.0] weighted_recall 0.75 [0.714286,0.666667,1,0.0] weighted_recall 0.9375 [1,0.833333,1,0.0] weighted_recall 0.8125 [0.5,1,1,0.0] weighted_recall 0.75 [0.666667,0.714286,1,0.0] weighted_recall 0.875 [1,0.714286,1,0.0] weighted_recall 0.625 [0.666667,0.428571,1,0.0]