8906722 1935 Hilde Weerts 14 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) 6844158 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 3.8159898931766802 7650 cache_size 200 7650 class_weight null 7650 coef0 0.3466028675152426 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.002304790948731819 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.0002434509480165194 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 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18729176 description https://api.openml.org/data/download/18729176/description.xml -1 18729177 predictions https://api.openml.org/data/download/18729177/predictions.arff area_under_roc_curve 0.9102777777777776 [0.995,0.881944,0.9775,0.940278,0.898333,0.969167,0.7325,0.968611,0.986667,0.752778] average_cost 0 f_measure 0.8378066548309584 [0.994975,0.780247,0.957606,0.901266,0.839378,0.942643,0.532637,0.903073,0.979899,0.546341] kappa 0.8205555555555556 kb_relative_information_score 1662.2203305488524 mean_absolute_error 0.03230000000000019 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8382103459647385 [1,0.770732,0.955224,0.912821,0.870968,0.940299,0.557377,0.856502,0.984848,0.533333] predictive_accuracy 0.8384999999999999 prior_entropy 3.321928094887362 recall 0.8385 [0.99,0.79,0.96,0.89,0.81,0.945,0.51,0.955,0.975,0.56] relative_absolute_error 0.17944444444444 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1797220075561148 root_relative_squared_error 0.5990733585203736 total_cost 0 area_under_roc_curve 0.9055555555555554 [0.975,0.922222,0.972222,0.925,0.919444,1,0.675,0.944444,0.997222,0.725] area_under_roc_curve 0.9083333333333333 [1,0.886111,0.972222,0.894444,0.891667,0.944444,0.711111,0.963889,0.975,0.844444] area_under_roc_curve 0.9138888888888889 [1,0.883333,1,0.916667,0.961111,0.947222,0.777778,0.919444,1,0.733333] area_under_roc_curve 0.925 [0.975,0.863889,0.975,0.994444,0.938889,0.944444,0.813889,0.919444,0.972222,0.852778] area_under_roc_curve 0.8944444444444446 [1,0.813889,0.975,0.916667,0.891667,0.969444,0.677778,0.983333,1,0.716667] area_under_roc_curve 0.9194444444444444 [1,0.894444,0.994444,0.919444,0.872222,0.994444,0.819444,0.994444,1,0.705556] area_under_roc_curve 0.9055555555555556 [1,0.891667,0.95,0.969444,0.869444,0.969444,0.747222,0.983333,1,0.675] area_under_roc_curve 0.9277777777777777 [1,0.886111,0.997222,0.944444,0.872222,0.972222,0.852778,0.991667,0.972222,0.788889] area_under_roc_curve 0.913888888888889 [1,0.866667,0.997222,0.997222,0.894444,0.975,0.608333,0.994444,1,0.805556] area_under_roc_curve 0.8888888888888888 [1,0.911111,0.941667,0.925,0.872222,0.975,0.641667,0.991667,0.95,0.680556] 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 f_measure 0.828593546642327 [0.974359,0.75,0.95,0.918919,0.871795,1,0.432432,0.9,0.97561,0.512821] f_measure 0.8332771470889658 [1,0.780488,0.95,0.842105,0.820513,0.9,0.529412,0.883721,0.974359,0.652174] f_measure 0.8425968475968476 [1,0.761905,1,0.85,0.863636,0.923077,0.6,0.871795,1,0.555556] f_measure 0.8649644520574753 [0.974359,0.769231,0.974359,0.952381,0.857143,0.9,0.702703,0.871795,0.95,0.697674] f_measure 0.8064603903893405 [1,0.702703,0.974359,0.85,0.820513,0.926829,0.444444,0.869565,1,0.47619] f_measure 0.852659854765118 [1,0.842105,0.952381,0.871795,0.833333,0.952381,0.622222,0.952381,1,0.5] f_measure 0.8270933604639024 [1,0.820513,0.947368,0.926829,0.810811,0.926829,0.536585,0.869565,1,0.432432] f_measure 0.8684004537719797 [1,0.780488,0.97561,0.9,0.833333,0.95,0.697674,0.930233,0.95,0.666667] f_measure 0.8392119031464759 [1,0.789474,0.97561,0.97561,0.842105,0.974359,0.322581,0.952381,1,0.56] f_measure 0.8050759154789366 [1,0.809524,0.878049,0.918919,0.833333,0.974359,0.358974,0.930233,0.947368,0.4] kappa 0.8111111111111111 kappa 0.8166666666666667 kappa 0.8277777777777777 kappa 0.85 kappa 0.788888888888889 kappa 0.8388888888888889 kappa 0.8111111111111111 kappa 0.8555555555555555 kappa 0.8277777777777777 kappa 0.7777777777777778 kb_relative_information_score 164.4442453209372 kb_relative_information_score 165.49000281149785 kb_relative_information_score 167.58151779261917 kb_relative_information_score 171.7645477548618 kb_relative_information_score 160.26121535869456 kb_relative_information_score 169.67303277374046 kb_relative_information_score 164.4442453209372 kb_relative_information_score 172.81030524542246 kb_relative_information_score 167.58151779261917 kb_relative_information_score 158.16970037757324 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.02600000000000001 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.040000000000000015 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.8336878962111158 [1,0.642857,0.95,1,0.894737,1,0.470588,0.9,0.952381,0.526316] precision 0.8388766090253504 [1,0.761905,0.95,0.888889,0.842105,0.9,0.642857,0.826087,1,0.576923] precision 0.8436044657097288 [1,0.727273,1,0.85,0.791667,0.947368,0.6,0.894737,1,0.625] precision 0.8678363048984936 [1,0.789474,1,0.909091,0.818182,0.9,0.764706,0.894737,0.95,0.652174] precision 0.8085349274048964 [1,0.764706,1,0.85,0.842105,0.904762,0.5,0.769231,1,0.454545] precision 0.8570898458266879 [1,0.888889,0.909091,0.894737,0.9375,0.909091,0.56,0.909091,1,0.5625] precision 0.8297610542192586 [1,0.842105,1,0.904762,0.882353,0.904762,0.52381,0.769231,1,0.470588] precision 0.8723524844720497 [1,0.761905,0.952381,0.9,0.9375,0.95,0.652174,0.869565,0.95,0.75] precision 0.8457287157287159 [1,0.833333,0.952381,0.952381,0.888889,1,0.454545,0.909091,1,0.466667] precision 0.8165356399893012 [1,0.772727,0.857143,1,0.9375,1,0.368421,0.869565,1,0.36] predictive_accuracy 0.83 predictive_accuracy 0.835 predictive_accuracy 0.845 predictive_accuracy 0.865 predictive_accuracy 0.81 predictive_accuracy 0.855 predictive_accuracy 0.83 predictive_accuracy 0.87 predictive_accuracy 0.845 predictive_accuracy 0.8 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.83 [0.95,0.9,0.95,0.85,0.85,1,0.4,0.9,1,0.5] recall 0.835 [1,0.8,0.95,0.8,0.8,0.9,0.45,0.95,0.95,0.75] recall 0.845 [1,0.8,1,0.85,0.95,0.9,0.6,0.85,1,0.5] recall 0.865 [0.95,0.75,0.95,1,0.9,0.9,0.65,0.85,0.95,0.75] recall 0.81 [1,0.65,0.95,0.85,0.8,0.95,0.4,1,1,0.5] recall 0.855 [1,0.8,1,0.85,0.75,1,0.7,1,1,0.45] recall 0.83 [1,0.8,0.9,0.95,0.75,0.95,0.55,1,1,0.4] recall 0.87 [1,0.8,1,0.9,0.75,0.95,0.75,1,0.95,0.6] recall 0.845 [1,0.75,1,1,0.8,0.95,0.25,1,1,0.7] recall 0.8 [1,0.85,0.9,0.85,0.75,0.95,0.35,1,0.9,0.45] relative_absolute_error 0.1888888888888892 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.15000000000000024 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.14444444444444465 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.22222222222222257 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.16431676725154987 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.20000000000000004 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5374838498865704 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6666666666666672 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 3197.0557770000596 usercpu_time_millis 3461.726047000411 usercpu_time_millis 3165.3695570003038 usercpu_time_millis 3082.006523000018 usercpu_time_millis 2841.5954860001875 usercpu_time_millis 2976.8345749998844 usercpu_time_millis 2939.7693169994454 usercpu_time_millis 2866.247836999719 usercpu_time_millis 3565.837900000588 usercpu_time_millis 3280.3846699998758 usercpu_time_millis_testing 35.625294000055874 usercpu_time_millis_testing 34.419376000187185 usercpu_time_millis_testing 35.97869100030948 usercpu_time_millis_testing 35.20781400038686 usercpu_time_millis_testing 30.53024600012577 usercpu_time_millis_testing 29.7990219996791 usercpu_time_millis_testing 30.142390000037267 usercpu_time_millis_testing 36.34335100014141 usercpu_time_millis_testing 39.55297300035454 usercpu_time_millis_testing 38.247471999966365 usercpu_time_millis_training 3161.4304830000037 usercpu_time_millis_training 3427.306671000224 usercpu_time_millis_training 3129.3908659999943 usercpu_time_millis_training 3046.7987089996313 usercpu_time_millis_training 2811.0652400000617 usercpu_time_millis_training 2947.0355530002053 usercpu_time_millis_training 2909.626926999408 usercpu_time_millis_training 2829.9044859995774 usercpu_time_millis_training 3526.2849270002334 usercpu_time_millis_training 3242.1371979999094