6006675 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) 4041405 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.7224259863039381 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 17 6902 min_samples_split 3 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 28314 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 "median" 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 12936439 description https://api.openml.org/data/download/12936439/description.xml -1 12936440 predictions https://api.openml.org/data/download/12936440/predictions.arff area_under_roc_curve 0.9854371843434339 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0.01534238883010719 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 0.55125 prior_entropy 6.6438561897747395 recall 0.55125 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[0.937107,0.993671,1,1,1,0.993711,1,0.930818,0.990506,1,1,1,0.993671,0.987342,1,1,1,0.993711,0.990506,0.993711,1,1,1,1,1,0.90566,1,0.996835,0.990506,1,1,1,1,0.974843,0.990506,0.996835,0.981013,1,1,1,0.987421,1,0.996835,0.987342,1,0.949367,0.993711,0.981013,1,0.987421,0.996835,0.987342,1,0.981013,0.993671,0.955975,1,1,0.977848,0.996835,1,0.993671,0.974684,1,0.987421,0.993711,0.990506,1,1,0.962264,0.918239,1,0.977848,1,0.974684,0.996835,1,1,0.981132,1,1,0.962264,1,0.949686,0.993671,1,1,0.996835,1,1,1,1,1,0.996835,0.993711,1,1,1,0.990506,0.987421] 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 0.5705545687783697 kappa 0.564376750976601 kappa 0.5264030310206015 kappa 0.5705206647455887 kappa 0.4757618822043265 kappa 0.5200884047675428 kappa 0.51356260117661 kappa 0.5705206647455887 kappa 0.5453827940015786 kappa 0.6084004421285332 kb_relative_information_score 101.34853613177988 kb_relative_information_score 99.5081474452757 kb_relative_information_score 98.13201792598505 kb_relative_information_score 98.84015439603294 kb_relative_information_score 99.01083733154422 kb_relative_information_score 99.62389884375328 kb_relative_information_score 101.01149488132569 kb_relative_information_score 100.90423428551848 kb_relative_information_score 102.9073141766691 kb_relative_information_score 103.56508252139561 mean_absolute_error 0.01526437117145161 mean_absolute_error 0.015347856014318683 mean_absolute_error 0.01537939277405953 mean_absolute_error 0.015457731783424708 mean_absolute_error 0.015351293352426323 mean_absolute_error 0.015336687318775822 mean_absolute_error 0.015381091192271443 mean_absolute_error 0.015376498326066385 mean_absolute_error 0.01531801494383223 mean_absolute_error 0.015210951424445163 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 0.575 predictive_accuracy 0.56875 predictive_accuracy 0.53125 predictive_accuracy 0.575 predictive_accuracy 0.48125 predictive_accuracy 0.525 predictive_accuracy 0.51875 predictive_accuracy 0.575 predictive_accuracy 0.55 predictive_accuracy 0.6125 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 0.575 [1,1,1,1,0.5,1,1,1,1,0,0.5,0.5,0.5,0,1,1,1,0,0,0,1,0,1,1,0,0,0,1,0.5,1,0.5,1,0.5,0,1,0,0,1,1,1,1,0,1,0.5,1,0.5,1,1,0,0.5,0.5,1,1,0,1,0,1,1,0,0.5,1,1,0,0.5,1,0.5,0.5,1,0,0,0,1,0.5,1,1,1,1,0,1,1,0,0.5,1,0,0,0.5,1,0.5,0,0,1,1,1,0,0,0.5,1,0.5,0,1] recall 0.56875 [1,1,1,1,1,1,0.5,1,0.5,1,0.5,1,0.5,0.5,1,1,1,0,0.5,0,1,0,0,1,1,0,0.5,0,0.5,1,0.5,1,0.5,0.5,1,1,0,1,0,1,1,1,1,0,0.5,0,1,0,0,1,0,0.5,1,0,1,0,1,1,1,0,1,1,1,1,1,0,0.5,1,0,0,0,1,0.5,1,0,1,0.5,0,1,0.5,0,0.5,0,0,1,0.5,0.5,1,0.5,1,1,1,0,0,0.5,0.5,1,0,0,1] recall 0.53125 [0,0.5,1,1,0.5,0,1,1,0,0.5,0,1,1,0.5,0,0.5,1,0.5,0,0,1,0,0,1,0,0.5,0.5,1,1,1,0,1,1,0,0,1,1,0,1,1,0,1,1,1,0.5,0,0.5,0,0.5,0.5,1,1,1,0.5,1,0,1,1,1,0,1,0,0,1,0.5,0.5,0,1,0,0,0,1,0,0.5,0,0.5,1,0,0.5,1,0,0.5,1,0.5,1,0,1,1,1,1,1,1,0,0,0.5,1,0,0.5,0,0.5] recall 0.575 [1,1,1,1,0.5,0,1,1,0.5,0.5,0,0.5,0,0.5,1,1,1,0.5,0,0,0,1,0.5,1,0,0,0.5,1,1,0.5,1,1,1,0.5,1,0,1,1,0,1,0.5,0,1,1,1,1,1,1,0,1,0,1,0,0,1,0.5,1,1,1,0.5,1,0,1,1,0.5,0,0,1,0,0.5,0,0.5,0,1,0,0.5,1,0,1,1,0,0.5,1,0,1,1,1,1,0,1,1,1,0,0,0,0,0.5,0.5,0,0] recall 0.48125 [0.5,1,1,1,0,0,0,1,0,1,0,0.5,1,0,1,0.5,1,1,1,0,0.5,0,1,1,0.5,0,0.5,1,1,0.5,0,1,0,0,0,1,0,0,0,1,1,0.5,0,0,1,0,0.5,0,0.5,0.5,0,0,0,0,0,0,1,0.5,1,0,0.5,1,1,1,0.5,0,0,1,0,0,0,1,0,0,0,1,0.5,0,0.5,1,0,1,0.5,0,0,1,1,1,1,1,1,1,0,0,0.5,1,0.5,1,0,0.5] recall 0.525 [0,1,1,0,1,0.5,1,0.5,1,0.5,0.5,1,1,0,1,1,1,0.5,1,0,1,0.5,0,1,0.5,0,0.5,1,1,1,0,1,0.5,1,0,0.5,0,0.5,0,1,1,0.5,1,1,1,1,1,0,0,0.5,1,0,1,0,0,0,1,1,0,1,0.5,0.5,0,1,1,0.5,1,1,0,0.5,0,1,1,1,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,0.5,1,1,0,0,0,1,0.5,0,0,0.5] recall 0.51875 [0.5,1,1,0,1,0,1,1,1,0,1,1,0.5,0,0,0,0,0,0.5,0,1,1,0.5,1,0.5,0,0,0.5,0,1,0.5,1,1,0,1,1,0.5,1,0.5,0,0,0,1,0.5,0,0.5,1,0.5,0,1,0,0.5,0.5,0,0.5,0,1,0.5,0.5,0,0,0,1,0,1,1,0,1,0,0,1,1,1,1,0.5,1,1,0,1,1,0,1,0.5,0.5,1,1,0.5,0,0,0.5,1,1,0,0,0,0.5,1,0,0,0.5] recall 0.575 [0.5,1,1,0.5,1,0,1,1,1,0.5,1,1,0.5,0,1,0.5,1,0,0,0,0.5,1,0.5,1,0.5,0,0,0.5,1,1,0,1,1,1,0.5,1,0,0,0.5,1,0.5,1,1,0,1,0.5,1,1,1,1,0,0,0.5,1,0.5,0,1,1,1,1,1,0.5,1,1,1,0,1,1,0,0,0,1,1,0,0,1,1,0,1,1,0,0,0,0.5,0.5,0.5,1,0,1,0.5,1,1,0,0,0,1,0.5,0,0,0.5] recall 0.55 [0,1,0,0.5,1,1,0,1,0,1,1,1,1,0.5,1,0,1,1,1,0,1,0.5,1,1,0,0,0,1,0.5,1,1,1,1,1,0.5,1,0.5,0,0,1,0,0.5,0.5,0.5,0,0.5,1,0,0,1,1,0,1,0,0,0,1,1,0,0,1,1,0.5,0.5,1,1,0,1,0.5,0,0,1,0.5,1,0,0.5,1,0,1,0.5,0,1,1,0,0.5,1,0.5,0.5,0,1,1,1,0.5,0,0,0.5,0,0.5,0,1] recall 0.6125 [0,0,1,0.5,1,1,1,0,0.5,0,1,1,0.5,0.5,1,0,1,0,0.5,0,0.5,1,1,1,1,0,1,0,1,1,1,1,1,1,1,1,0,1,0,1,0,1,0.5,0,1,0.5,1,0.5,1,1,0.5,0.5,1,0,0.5,0,1,1,0,1,1,0,0,1,1,1,0.5,1,0.5,0,0,1,0.5,1,0,1,1,0,0,0,0,0,1,0,1,1,0.5,1,0,0.5,1,1,1,0,1,1,1,1,0,0] relative_absolute_error 0.7709278369419992 relative_absolute_error 0.7751442431474069 relative_absolute_error 0.7767370087908841 relative_absolute_error 0.780693524415388 relative_absolute_error 0.7753178460821363 relative_absolute_error 0.7745801676149392 relative_absolute_error 0.7768227874884555 relative_absolute_error 0.7765908245488059 relative_absolute_error 0.7736371183753639 relative_absolute_error 0.7682298699214717 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 0.08211438617183212 root_mean_squared_error 0.0827312292630798 root_mean_squared_error 0.08348324887637198 root_mean_squared_error 0.08316772590561242 root_mean_squared_error 0.08352898623426402 root_mean_squared_error 0.08313431198726319 root_mean_squared_error 0.08321403185788318 root_mean_squared_error 0.08259191297141422 root_mean_squared_error 0.08224304020574487 root_mean_squared_error 0.08206101952670429 root_relative_squared_error 0.8252806327948936 root_relative_squared_error 0.8314801391227467 root_relative_squared_error 0.8390382206144993 root_relative_squared_error 0.8358670954425362 root_relative_squared_error 0.8394978983570145 root_relative_squared_error 0.8355312729275667 root_relative_squared_error 0.8363324877735734 root_relative_squared_error 0.8300799577086907 root_relative_squared_error 0.826573654486573 root_relative_squared_error 0.8247442778306237 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 6875.602867001362 usercpu_time_millis 6732.58924700167 usercpu_time_millis 6860.805284999515 usercpu_time_millis 6788.377111000955 usercpu_time_millis 6686.533212998256 usercpu_time_millis 6952.57368700004 usercpu_time_millis 6782.280658999298 usercpu_time_millis 6682.240361000368 usercpu_time_millis 6710.977096001443 usercpu_time_millis 6726.062182999158 usercpu_time_millis_testing 37.032025000371505 usercpu_time_millis_testing 33.74883300057263 usercpu_time_millis_testing 34.43046299980779 usercpu_time_millis_testing 33.795024999562884 usercpu_time_millis_testing 33.86204599883058 usercpu_time_millis_testing 34.27410500080441 usercpu_time_millis_testing 33.78360599890584 usercpu_time_millis_testing 33.808805001172004 usercpu_time_millis_testing 34.02049200121837 usercpu_time_millis_testing 36.90024899879063 usercpu_time_millis_training 6838.5708420009905 usercpu_time_millis_training 6698.840414001097 usercpu_time_millis_training 6826.374821999707 usercpu_time_millis_training 6754.582086001392 usercpu_time_millis_training 6652.671166999426 usercpu_time_millis_training 6918.299581999236 usercpu_time_millis_training 6748.497053000392 usercpu_time_millis_training 6648.431555999196 usercpu_time_millis_training 6676.956604000225 usercpu_time_millis_training 6689.161934000367