8958511 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) 6894117 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 0.11343085835587997 7650 cache_size 200 7650 class_weight null 7650 coef0 0.09299425387494098 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 9.737402949203145e-05 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 2.354924649113093e-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 18832286 description https://api.openml.org/data/download/18832286/description.xml -1 18832287 predictions https://api.openml.org/data/download/18832287/predictions.arff area_under_roc_curve 0.5994318181818183 [0.553977,0.618687,0.623422,0.561869,0.62279,0.623106,0.623737,0.618371,0.592172,0.625,0.618371,0.618371,0.618056,0.592487,0.5,0.590909,0.625,0.585543,0.611742,0.558081,0.560922,0.530619,0.589331,0.623422,0.559028,0.528725,0.525253,0.622475,0.59154,0.587753,0.623106,0.59375,0.622159,0.619318,0.61553,0.620581,0.620896,0.585227,0.622159,0.624369,0.587753,0.619634,0.623422,0.621843,0.559343,0.622159,0.622159,0.619949,0.618056,0.585543,0.558712,0.589015,0.619003,0.621843,0.620896,0.525568,0.624684,0.621843,0.614583,0.620896,0.619634,0.590909,0.618056,0.622475,0.619003,0.588068,0.585227,0.624053,0.592487,0.588384,0.622159,0.560922,0.619634,0.59375,0.557765,0.621843,0.620896,0.589015,0.623737,0.62279,0.529672,0.592172,0.620896,0.59154,0.620896,0.620896,0.625,0.554924,0.592487,0.587437,0.588699,0.625,0.621528,0.614899,0.617424,0.623737,0.612689,0.620896,0.497475,0.559343] 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 655.0396659997659 usercpu_time_millis 673.9703080002073 usercpu_time_millis 655.6421949999276 usercpu_time_millis 660.8445770000344 usercpu_time_millis 671.9113540000308 usercpu_time_millis 667.8354819998731 usercpu_time_millis 687.5897520001217 usercpu_time_millis 683.9331440000933 usercpu_time_millis 674.1711310000937 usercpu_time_millis 678.0164379997586 usercpu_time_millis_testing 51.28825299993878 usercpu_time_millis_testing 52.46323800020036 usercpu_time_millis_testing 51.833154999940234 usercpu_time_millis_testing 55.724603000044226 usercpu_time_millis_testing 52.40739099986058 usercpu_time_millis_testing 53.477950999877066 usercpu_time_millis_testing 52.194313999962105 usercpu_time_millis_testing 53.895485000111876 usercpu_time_millis_testing 54.96740300009151 usercpu_time_millis_testing 54.873898999858284 usercpu_time_millis_training 603.7514129998272 usercpu_time_millis_training 621.5070700000069 usercpu_time_millis_training 603.8090399999874 usercpu_time_millis_training 605.1199739999902 usercpu_time_millis_training 619.5039630001702 usercpu_time_millis_training 614.357530999996 usercpu_time_millis_training 635.3954380001596 usercpu_time_millis_training 630.0376589999814 usercpu_time_millis_training 619.2037280000022 usercpu_time_millis_training 623.1425389999004