8956978 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) 6892589 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 1315.1210787726648 7650 cache_size 200 7650 class_weight null 7650 coef0 0.7680489957186237 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.4428475133086083 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.011808533958931262 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 18829238 description https://api.openml.org/data/download/18829238/description.xml -1 18829239 predictions https://api.openml.org/data/download/18829239/predictions.arff area_under_roc_curve 0.5789141414141415 [0.561869,0.530934,0.5625,0.478851,0.5625,0.518308,0.625,0.53125,0.593119,0.65625,0.530619,0.625,0.59375,0.562184,0.482955,0.53125,0.625,0.528409,0.590278,0.496843,0.59375,0.5,0.5625,0.59375,0.593434,0.654356,0.559659,0.562184,0.5625,0.71875,0.65625,0.5625,0.59375,0.717487,0.557449,0.843119,0.624053,0.623422,0.59375,0.5625,0.530619,0.53125,0.625,0.593434,0.53125,0.5625,0.562184,0.53125,0.529672,0.59375,0.530619,0.561869,0.593434,0.561237,0.561553,0.623737,0.5625,0.5625,0.560922,0.592172,0.624684,0.71875,0.592803,0.5625,0.562184,0.593119,0.559975,0.59375,0.59375,0.561553,0.655619,0.5625,0.623106,0.53125,0.530934,0.562184,0.5625,0.560606,0.59375,0.5625,0.562184,0.530934,0.5625,0.624053,0.59375,0.59375,0.5625,0.53125,0.59375,0.5625,0.65625,0.5625,0.53125,0.593434,0.5625,0.59375,0.561237,0.562184,0.527146,0.592487] average_cost 0 kappa 0.15782828282828282 kb_relative_information_score 263.08867479656794 mean_absolute_error 0.0166749999999997 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 0.16625 prior_entropy 6.6438561897747395 recall 0.16625 [0.125,0.0625,0.125,0.25,0.125,0.1875,0.25,0.0625,0.1875,0.3125,0.0625,0.25,0.1875,0.125,0.25,0.0625,0.25,0.0625,0.1875,0,0.1875,0,0.125,0.1875,0.1875,0.3125,0.125,0.125,0.125,0.4375,0.3125,0.125,0.1875,0.4375,0.125,0.6875,0.25,0.25,0.1875,0.125,0.0625,0.0625,0.25,0.1875,0.0625,0.125,0.125,0.0625,0.0625,0.1875,0.0625,0.125,0.1875,0.125,0.125,0.25,0.125,0.125,0.125,0.1875,0.25,0.4375,0.1875,0.125,0.125,0.1875,0.125,0.1875,0.1875,0.125,0.3125,0.125,0.25,0.0625,0.0625,0.125,0.125,0.125,0.1875,0.125,0.125,0.0625,0.125,0.25,0.1875,0.1875,0.125,0.0625,0.1875,0.125,0.3125,0.125,0.0625,0.1875,0.125,0.1875,0.125,0.125,0.0625,0.1875] relative_absolute_error 0.8421717171717005 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.1291317157014484 root_relative_squared_error 1.2978225742925726 total_cost 0 area_under_roc_curve 0.5723071411511822 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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 0.14448594456457636 kappa 0.16319307904050334 kappa 0.20094376720408963 kappa 0.16961547534795943 kappa 0.11292859389745202 kappa 0.2010066058508965 kappa 0.13816151608083668 kappa 0.20726672171758878 kappa 0.15696759987417427 kappa 0.11310296025474702 kb_relative_information_score 23.703193232633296 kb_relative_information_score 26.709740440736958 kb_relative_information_score 32.72283485694432 kb_relative_information_score 27.71192284343819 kb_relative_information_score 18.69228121912718 kb_relative_information_score 32.72283485694432 kb_relative_information_score 22.70101082993207 kb_relative_information_score 33.72501725964555 kb_relative_information_score 25.707558038035742 kb_relative_information_score 18.692281219127167 mean_absolute_error 0.01700000000000001 mean_absolute_error 0.01662500000000001 mean_absolute_error 0.01587500000000001 mean_absolute_error 0.01650000000000001 mean_absolute_error 0.017625000000000012 mean_absolute_error 0.01587500000000001 mean_absolute_error 0.017125000000000012 mean_absolute_error 0.01575000000000001 mean_absolute_error 0.01675000000000001 mean_absolute_error 0.017625000000000012 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 0.15 predictive_accuracy 0.16875 predictive_accuracy 0.20625 predictive_accuracy 0.175 predictive_accuracy 0.11875 predictive_accuracy 0.20625 predictive_accuracy 0.14375 predictive_accuracy 0.2125 predictive_accuracy 0.1625 predictive_accuracy 0.11875 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 0.15 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0.5,0,0,0,0,0,0,0,0,0,1,1,1,1,0.5,1,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,1,0,0,1,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0.5,0,0,0,0,1,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1] recall 0.16875 [0,0,0,1,0,1,0,1,0,1,0,0,0.5,0,0,1,0,0,0,0,1,0,1,1,1,0.5,0,0,0,1,0.5,0,0,0.5,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,1,0,0,1,1,0,0.5,1,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0] recall 0.20625 [0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,1,1,0.5,0,1,0,0.5,1,0,0,0,0,1,1,1,1,0,0,0,1,0,0,1,0,0,0,0.5,0,1,1,0,1,0.5,1,0,0,0,1,1,0,0,0,0.5,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0] recall 0.175 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,1,0,0,0,0.5,1,0,0,0,1,0,0,0,1,1,0,1,0,0,0,0,0,0,1,0,1,0.5,0,0,1,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0] recall 0.11875 [0,0,0,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0.5,0,1,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,0,0,0,0,0,0.5,0,1,0,0,0,0,0,0,1,1,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0] recall 0.20625 [0,1,0,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0.5,1,1,0,0.5,0,0.5,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,1,1,0,1,0,0,1,0,0,1,0,0.5,1,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,1,1,0,0,1,0,1,1,0,1,0,0,0,0] recall 0.14375 [0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0.5,0,0,0,0,1,0,0,0,0,0,0.5,0.5,0,0,0,0,0,1,0,0,1,1,0,0,1,0,0] recall 0.2125 [0,0,1,0,0,0,0,0,1,0.5,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,1,0,0,0.5,0.5,1,1,1,0,1,0.5,0.5,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,1,0,0.5,0,0,0,0,0,0.5,1,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0,0] recall 0.1625 [1,0,1,0,0,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,1,0,0.5,0.5,0,0,0,0,0,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,1,0,0,0,1,0,1,0.5,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1] recall 0.11875 [1,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0.5,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1] relative_absolute_error 0.8585858585858577 relative_absolute_error 0.839646464646464 relative_absolute_error 0.801767676767676 relative_absolute_error 0.8333333333333325 relative_absolute_error 0.8901515151515142 relative_absolute_error 0.801767676767676 relative_absolute_error 0.8648989898989891 relative_absolute_error 0.7954545454545446 relative_absolute_error 0.8459595959595951 relative_absolute_error 0.8901515151515142 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 0.13038404810405302 root_mean_squared_error 0.12893796958227632 root_mean_squared_error 0.12599603168354157 root_mean_squared_error 0.12845232578665133 root_mean_squared_error 0.1327591804735176 root_mean_squared_error 0.12599603168354157 root_mean_squared_error 0.13086252328302406 root_mean_squared_error 0.12549900398011138 root_mean_squared_error 0.12942179105544788 root_mean_squared_error 0.1327591804735176 root_relative_squared_error 1.3104089885114936 root_relative_squared_error 1.2958753525292965 root_relative_squared_error 1.26630776414557 root_relative_squared_error 1.2909944487358052 root_relative_squared_error 1.3342799669870749 root_relative_squared_error 1.26630776414557 root_relative_squared_error 1.3152178449967817 root_relative_squared_error 1.2613124477737823 root_relative_squared_error 1.300737941293015 root_relative_squared_error 1.3342799669870749 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 705.9019679999778 usercpu_time_millis 708.5850599999617 usercpu_time_millis 711.9811849999564 usercpu_time_millis 716.0521689999655 usercpu_time_millis 725.599470000077 usercpu_time_millis 715.5641829999695 usercpu_time_millis 715.1385729999902 usercpu_time_millis 707.688811999958 usercpu_time_millis 711.310793999985 usercpu_time_millis 707.6642229999948 usercpu_time_millis_testing 51.659841999992295 usercpu_time_millis_testing 51.49370599997383 usercpu_time_millis_testing 51.685509999970236 usercpu_time_millis_testing 52.52942900000335 usercpu_time_millis_testing 51.932526000030066 usercpu_time_millis_testing 51.581979999980376 usercpu_time_millis_testing 53.35767100001476 usercpu_time_millis_testing 52.185593999979574 usercpu_time_millis_testing 52.52919899999142 usercpu_time_millis_testing 52.40493799999513 usercpu_time_millis_training 654.2421259999855 usercpu_time_millis_training 657.0913539999879 usercpu_time_millis_training 660.2956749999862 usercpu_time_millis_training 663.5227399999621 usercpu_time_millis_training 673.6669440000469 usercpu_time_millis_training 663.9822029999891 usercpu_time_millis_training 661.7809019999754 usercpu_time_millis_training 655.5032179999785 usercpu_time_millis_training 658.7815949999936 usercpu_time_millis_training 655.2592849999996