8959076 1935 Hilde Weerts 9954 Supervised Classification 8317 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1) 6894680 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 copy true 7646 with_mean false 7646 with_std true 7646 C 0.05330521393484096 7650 cache_size 200 7650 class_weight null 7650 coef0 0.03852102321118678 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 4.934893301744161e-05 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 1.4258836620542436e-05 7650 verbose false 7650 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 memory null 8317 openml-python Sklearn_0.19.1. study_98 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 18833406 description https://api.openml.org/data/download/18833406/description.xml -1 18833407 predictions https://api.openml.org/data/download/18833407/predictions.arff area_under_roc_curve 0.5994318181818183 [0.553977,0.618687,0.623422,0.561869,0.62279,0.623106,0.623737,0.618371,0.592172,0.625,0.618371,0.618371,0.618056,0.592487,0.5,0.590909,0.625,0.585543,0.611742,0.558081,0.560922,0.530619,0.589331,0.623422,0.559028,0.528725,0.525253,0.622475,0.59154,0.587753,0.623106,0.59375,0.622159,0.619318,0.61553,0.620581,0.620896,0.585227,0.622159,0.624369,0.587753,0.619634,0.623422,0.621843,0.559343,0.622159,0.622159,0.619949,0.618056,0.585543,0.558712,0.589015,0.618687,0.621843,0.620896,0.525568,0.624684,0.621843,0.614583,0.620896,0.619634,0.591225,0.618056,0.622475,0.619003,0.588068,0.585227,0.624053,0.592487,0.588384,0.622159,0.560922,0.619634,0.59375,0.557765,0.621843,0.620896,0.589015,0.623737,0.62279,0.529672,0.592172,0.620896,0.59154,0.620896,0.620896,0.625,0.554924,0.592487,0.587437,0.588699,0.625,0.621528,0.614899,0.617424,0.623737,0.612689,0.620896,0.497475,0.559343] average_cost 0 kappa 0.19886363636363635 kb_relative_information_score 328.2305309721471 mean_absolute_error 0.015862499999999717 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 0.206875 prior_entropy 6.6438561897747395 recall 0.206875 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kb_relative_information_score 29.716287648840638 kb_relative_information_score 33.72501725964554 kb_relative_information_score 34.72719966234676 kb_relative_information_score 34.72719966234676 kb_relative_information_score 31.72065245424309 kb_relative_information_score 36.731564467749216 kb_relative_information_score 32.72283485694432 kb_relative_information_score 29.71628764884065 kb_relative_information_score 31.72065245424309 kb_relative_information_score 32.72283485694432 mean_absolute_error 0.01625000000000001 mean_absolute_error 0.01575000000000001 mean_absolute_error 0.01562500000000001 mean_absolute_error 0.01562500000000001 mean_absolute_error 0.01600000000000001 mean_absolute_error 0.01537500000000001 mean_absolute_error 0.01587500000000001 mean_absolute_error 0.01625000000000001 mean_absolute_error 0.01600000000000001 mean_absolute_error 0.01587500000000001 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 0.1875 predictive_accuracy 0.2125 predictive_accuracy 0.21875 predictive_accuracy 0.21875 predictive_accuracy 0.2 predictive_accuracy 0.23125 predictive_accuracy 0.20625 predictive_accuracy 0.1875 predictive_accuracy 0.2 predictive_accuracy 0.20625 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 0.1875 [0,0,0,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,1,0,1,0,0,1,1,0,1,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,1] recall 0.2125 [1,0,0,0,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,1,1,1,0,0,0,0,1,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,1,0,1,0,0,1,1,0,1,1,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0] recall 0.21875 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1,1,0,0,1,0,0,1,0,0,0,1,1,1,1,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,0,0,0,0] recall 0.21875 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0] recall 0.2 [0,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,1,0,0,0,1,1,1,1,0,0,1,0,1,1,0,1,0,1,0,0] recall 0.23125 [0,1,0,0,1,0,1,0,1,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,0,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,1,1,1,1,0,0,1,0,1,1,0,1,0,1,0,0] recall 0.20625 [0,1,1,0,1,0,0,0,1,0,1,1,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,1,0,0] recall 0.1875 [0,1,1,0,1,0,0,0,1,0,1,1,0,1,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,1,1,0,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,1,0,0] recall 0.2 [0,0,1,0,0,1,0,1,0,1,1,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,1,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0] recall 0.20625 [1,0,1,0,0,1,0,1,0,1,1,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,1,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1] relative_absolute_error 0.8207070707070698 relative_absolute_error 0.7954545454545446 relative_absolute_error 0.7891414141414134 relative_absolute_error 0.7891414141414134 relative_absolute_error 0.8080808080808072 relative_absolute_error 0.7765151515151507 relative_absolute_error 0.801767676767676 relative_absolute_error 0.8207070707070698 relative_absolute_error 0.8080808080808072 relative_absolute_error 0.801767676767676 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 0.12747548783981966 root_mean_squared_error 0.12549900398011138 root_mean_squared_error 0.12500000000000003 root_mean_squared_error 0.12500000000000003 root_mean_squared_error 0.12649110640673522 root_mean_squared_error 0.12399596767637248 root_mean_squared_error 0.12599603168354157 root_mean_squared_error 0.12747548783981966 root_mean_squared_error 0.12649110640673522 root_mean_squared_error 0.12599603168354157 root_relative_squared_error 1.2811768579763452 root_relative_squared_error 1.2613124477737823 root_relative_squared_error 1.2562972690740146 root_relative_squared_error 1.2562972690740146 root_relative_squared_error 1.271283452327456 root_relative_squared_error 1.246206364544132 root_relative_squared_error 1.26630776414557 root_relative_squared_error 1.2811768579763452 root_relative_squared_error 1.271283452327456 root_relative_squared_error 1.26630776414557 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 715.7674820000466 usercpu_time_millis 706.792858000199 usercpu_time_millis 702.8345349999654 usercpu_time_millis 707.2908280001684 usercpu_time_millis 706.7444690001139 usercpu_time_millis 711.5109889998621 usercpu_time_millis 719.1868879999674 usercpu_time_millis 724.4453000000703 usercpu_time_millis 695.6466579997596 usercpu_time_millis 684.1023110000606 usercpu_time_millis_testing 55.22902500001692 usercpu_time_millis_testing 57.77213000010306 usercpu_time_millis_testing 54.557716000090295 usercpu_time_millis_testing 55.04134300008445 usercpu_time_millis_testing 54.555523000090034 usercpu_time_millis_testing 57.509084000002986 usercpu_time_millis_testing 55.27412599985837 usercpu_time_millis_testing 54.053027000009024 usercpu_time_millis_testing 53.88247899986709 usercpu_time_millis_testing 54.41275300017878 usercpu_time_millis_training 660.5384570000297 usercpu_time_millis_training 649.0207280000959 usercpu_time_millis_training 648.2768189998751 usercpu_time_millis_training 652.249485000084 usercpu_time_millis_training 652.1889460000239 usercpu_time_millis_training 654.0019049998591 usercpu_time_millis_training 663.9127620001091 usercpu_time_millis_training 670.3922730000613 usercpu_time_millis_training 641.7641789998925 usercpu_time_millis_training 629.6895579998818