6014992 1 Jan van Rijn 9954 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4049681 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.6323285404876702 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 14 6902 min_samples_split 17 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 51331 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 12953117 description https://api.openml.org/data/download/12953117/description.xml -1 12953118 predictions https://api.openml.org/data/download/12953118/predictions.arff area_under_roc_curve 0.9898390151515153 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0.014698735669379967 mean_prior_absolute_error 0.019800000000000036 number_of_instances 1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] predictive_accuracy 0.65 prior_entropy 6.6438561897747395 recall 0.65 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[0.962264,0.996835,0.993711,1,1,1,1,0.943396,0.996835,1,1,1,0.993671,0.987342,0.996835,1,1,0.987421,0.990506,0.993711,1,1,1,1,1,0.930818,1,1,0.993671,1,1,1,1,0.974843,0.996835,0.996835,0.987342,1,1,1,0.993711,1,1,0.996835,1,0.977848,1,0.981013,0.993711,0.993711,1,0.993671,1,0.987342,0.996835,0.974843,1,1,0.990506,1,1,0.993671,0.974684,1,0.987421,0.993711,0.993671,1,0.996835,0.974843,0.981132,1,0.977848,1,0.993671,0.996835,1,0.993711,0.981132,1,1,0.968553,1,0.974843,1,1,1,1,1,1,1,1,1,1,1,1,0.993711,1,1,1] 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 kappa 0.646269245953415 kappa 0.6589698046181172 kappa 0.6400663035756572 kappa 0.6525858665613897 kappa 0.6336504678062452 kappa 0.6274076413009156 kappa 0.6524898313785886 kappa 0.6273193841294907 kappa 0.6273635179410255 kappa 0.6967183982940409 kb_relative_information_score 106.31380796957313 kb_relative_information_score 105.75136449569462 kb_relative_information_score 104.32449570510099 kb_relative_information_score 104.6282324314566 kb_relative_information_score 105.32461333267177 kb_relative_information_score 103.68331541580781 kb_relative_information_score 105.9260919195899 kb_relative_information_score 105.99176081148849 kb_relative_information_score 107.36712173894266 kb_relative_information_score 107.68179801132628 mean_absolute_error 0.014564593326065531 mean_absolute_error 0.01467751313478519 mean_absolute_error 0.014812388078489214 mean_absolute_error 0.014783130864468464 mean_absolute_error 0.014666650264413625 mean_absolute_error 0.01481241480815571 mean_absolute_error 0.014708054448144478 mean_absolute_error 0.014705323589913796 mean_absolute_error 0.01458992894972406 mean_absolute_error 0.014667359229639496 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] predictive_accuracy 0.65 predictive_accuracy 0.6625 predictive_accuracy 0.64375 predictive_accuracy 0.65625 predictive_accuracy 0.6375 predictive_accuracy 0.63125 predictive_accuracy 0.65625 predictive_accuracy 0.63125 predictive_accuracy 0.63125 predictive_accuracy 0.7 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 recall 0.65 [1,1,1,1,0.5,0,1,1,1,1,0.5,0.5,0.5,0,1,1,1,0,0.5,0,1,0,1,1,1,0,0,1,1,1,1,1,1,0,1,0,0,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,0.5,0.5,1,0,1,0,1,1,0,0.5,1,1,0.5,0.5,1,0.5,0,1,0,0,0,1,0.5,1,1,1,1,0,1,1,0.5,0.5,1,1,0.5,0.5,1,0.5,0,0,1,1,1,0.5,0,0.5,1,0.5,0,1] recall 0.6625 [1,1,1,1,1,1,0,1,0.5,1,1,1,0.5,0.5,1,1,1,0,0.5,0,1,0,0,1,1,0.5,0.5,0,1,1,0.5,1,1,0.5,1,1,0,1,0,1,1,1,1,1,0.5,1,1,0,0,1,1,0.5,1,0,1,0,1,1,1,0.5,1,1,1,1,1,0,0.5,1,0,0,0.5,1,0.5,1,1,1,1,0,1,0.5,0,0.5,0,0,1,1,0.5,1,0.5,1,1,1,0,0,0.5,1,1,0,0,1] recall 0.64375 [0,1,1,1,0.5,0,1,1,0,1,0.5,1,1,0.5,0,0.5,1,0.5,0,0,1,0,0.5,1,0,0.5,0.5,1,1,1,1,1,1,0,1,1,1,0,1,1,0,1,1,1,0.5,1,0.5,1,0.5,0.5,1,1,1,0.5,1,0,1,1,1,0,1,1,0.5,1,0.5,0.5,0.5,1,0,0,0.5,1,0,0.5,1,1,1,0,0.5,1,1,0.5,1,0.5,1,1,1,0.5,1,1,1,1,1,0,1,1,0.5,0.5,0,0.5] recall 0.65625 [0.5,1,1,1,1,0,1,1,0.5,1,1,0.5,1,0.5,1,1,1,0.5,0,0,1,1,0.5,1,0,0,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,0.5,1,1,1,0,1,0,0,1,0,1,1,0,0.5,1,1,1,1,0.5,0,0,1,0,0.5,0,0.5,0,1,0,0.5,1,0,1,1,0,0.5,1,0,1,1,1,1,0.5,1,1,1,0,0,1,0,0.5,1,0,0] recall 0.6375 [0.5,1,1,1,1,0.5,0,1,1,1,1,0.5,1,0,1,0.5,1,1,1,0,0.5,1,1,1,0.5,0,0.5,1,1,1,1,1,0.5,0,1,1,1,0,0.5,1,1,1,1,1,1,0,1,0,0.5,0.5,0,0,0,0,0,0,1,0.5,1,1,1,1,1,1,1,0,0,1,0,0.5,0,1,1,0,0,1,0.5,0,1,1,1,1,0.5,0,0,1,1,1,1,1,1,1,0,0,0.5,1,0.5,1,0,0.5] recall 0.63125 [0,1,1,0.5,1,0.5,1,1,1,0.5,0,1,1,1,1,1,1,0.5,1,0,1,1,0.5,1,1,0,0.5,1,1,1,0,1,0.5,1,0,1,0.5,0.5,0.5,1,1,0.5,1,1,1,1,1,0,0.5,0.5,1,0,1,1,0,0,1,1,0,1,1,0.5,0,1,1,0.5,0,1,0,0.5,0.5,1,1,1,0,1,1,0,1,0,1,0,1,0.5,0,1,1,0,0,1,1,1,0,0,0,1,1,0,0,0.5] recall 0.65625 [0.5,1,1,0.5,1,0.5,1,1,1,1,1,1,0.5,0,0,0.5,1,0,1,0.5,1,1,0.5,1,1,0,0,0.5,1,1,0.5,1,1,1,1,1,0,1,1,1,0,0.5,1,0,0,0.5,0.5,0.5,1,1,0,1,1,0,0.5,0,1,1,0,0,0.5,1,1,0,1,1,0,1,0,0,1,1,1,1,1,1,1,0,1,1,0.5,1,0.5,0.5,1,1,0.5,0,0,1,1,1,0.5,0,0,0.5,1,0,0,1] recall 0.63125 [1,1,1,1,1,0,1,1,1,1,1,1,0.5,0,1,0.5,1,0,1,0,1,1,0.5,1,0.5,0,0,0.5,1,1,0,1,1,1,1,1,0,0,1,1,0.5,1,1,0,1,1,0.5,1,1,1,0,0.5,0.5,1,0.5,0,1,1,0.5,1,1,0.5,1,1,1,0,1,1,0,0,0,1,1,0,0,1,1,0,1,1,0,0,0,0.5,0,0.5,1,0,1,1,1,1,0,0,0,1,0.5,1,0,0.5] recall 0.63125 [0,1,1,1,1,1,1,1,0.5,1,1,1,1,0,1,0,1,1,1,0,1,1,1,1,0.5,0,0,1,1,1,1,1,1,1,0.5,1,1,0,0,1,0,0.5,1,0.5,0,0.5,1,0.5,0,1,1,0,1,0,0,0,1,1,0,0,1,1,0.5,0.5,1,1,0,1,0.5,0,0,1,0.5,1,0.5,0.5,1,0,1,0.5,1,1,0,1,0.5,1,0.5,0.5,0,1,1,1,0.5,0,0,0.5,0,0.5,0,1] recall 0.7 [0,0.5,1,1,1,0,1,0,1,1,1,1,0.5,0.5,0.5,0,1,0,0.5,0,1,1,1,1,1,0,1,1,0.5,1,1,1,1,0,1,1,0,1,0,1,1,1,0.5,0.5,1,0.5,1,0.5,1,1,1,0.5,0.5,0.5,1,0,1,1,0.5,1,1,0.5,0,1,1,1,0,1,0.5,0,0,1,0.5,1,0,1,1,0,1,1,1,0,1,0,1,1,1,0.5,0,1,1,1,1,0,1,1,1,1,0,0] relative_absolute_error 0.73558552151846 relative_absolute_error 0.7412885421608669 relative_absolute_error 0.7481004080045045 relative_absolute_error 0.7466227709327494 relative_absolute_error 0.7407399123441213 relative_absolute_error 0.7481017579876608 relative_absolute_error 0.7428310327345684 relative_absolute_error 0.7426931106017056 relative_absolute_error 0.7368650984709109 relative_absolute_error 0.7407757186686602 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_squared_error 0.07874877425462107 root_mean_squared_error 0.0790465751859735 root_mean_squared_error 0.08009541953124573 root_mean_squared_error 0.07979189531181352 root_mean_squared_error 0.0794720837650097 root_mean_squared_error 0.08047501882292454 root_mean_squared_error 0.07972102596622782 root_mean_squared_error 0.07945936419919872 root_mean_squared_error 0.07884664864892453 root_mean_squared_error 0.07935427528421579 root_relative_squared_error 0.791454960312052 root_relative_squared_error 0.7944479722863379 root_relative_squared_error 0.804989254579532 root_relative_squared_error 0.8019387213957678 root_relative_squared_error 0.7987244944128239 root_relative_squared_error 0.80880437100736 root_relative_squared_error 0.8012264576732048 root_relative_squared_error 0.7985966579664868 root_relative_squared_error 0.7924386349862576 root_relative_squared_error 0.7975404746312629 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 6386.890012000094 usercpu_time_millis 6187.3607740000125 usercpu_time_millis 6185.1855540001 usercpu_time_millis 6123.548511000081 usercpu_time_millis 7236.9086579999475 usercpu_time_millis 6634.535682999967 usercpu_time_millis 6366.463980000049 usercpu_time_millis 6161.424165000085 usercpu_time_millis 7332.670531999952 usercpu_time_millis 6288.163464000036 usercpu_time_millis_testing 34.56757900005414 usercpu_time_millis_testing 34.23503900000924 usercpu_time_millis_testing 34.035040000048866 usercpu_time_millis_testing 33.837607000009484 usercpu_time_millis_testing 39.03810799999974 usercpu_time_millis_testing 33.69979000001422 usercpu_time_millis_testing 33.689028000026155 usercpu_time_millis_testing 33.77833299998656 usercpu_time_millis_testing 46.28244699995321 usercpu_time_millis_testing 34.00961800002733 usercpu_time_millis_training 6352.32243300004 usercpu_time_millis_training 6153.125735000003 usercpu_time_millis_training 6151.150514000051 usercpu_time_millis_training 6089.710904000071 usercpu_time_millis_training 7197.870549999948 usercpu_time_millis_training 6600.835892999953 usercpu_time_millis_training 6332.7749520000225 usercpu_time_millis_training 6127.645832000098 usercpu_time_millis_training 7286.388084999999 usercpu_time_millis_training 6254.153846000008