7262904 1 Jan van Rijn 59 Supervised Classification predictive_accuracy 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 5294800 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 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 true 6948 threshold 0.0 6949 C 5064.815143206371 6953 cache_size 200 6953 class_weight null 6953 coef0 -0.19493834581415714 6953 decision_function_shape null 6953 degree 5 6953 gamma 0.04665175207615768 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 55943 6953 shrinking false 6953 tol 0.00716029048157262 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 15454057 description https://api.openml.org/data/download/15454057/description.xml -1 15454058 predictions https://api.openml.org/data/download/15454058/predictions.arff area_under_roc_curve 0.8280000000000001 [0.8642,0.6858,0.934] average_cost 0 f_measure 0.6643850612922779 [0.680412,0.505051,0.807692] kappa 0.49999999999999994 kb_relative_information_score 64.82088505763397 mean_absolute_error 0.28904299506220255 mean_prior_absolute_error 0.44444444444444337 number_of_instances 150 [50,50,50] precision 0.663369839661633 [0.702128,0.510204,0.777778] predictive_accuracy 0.6666666666666667 prior_entropy 1.584962500721156 recall 0.6666666666666666 [0.66,0.5,0.84] relative_absolute_error 0.6503467388899573 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.3869220653629505 root_relative_squared_error 0.8207856486265415 total_cost 0 area_under_roc_curve 0.8600000000000001 [0.84,0.78,0.96] area_under_roc_curve 0.7066666666666667 [0.82,0.42,0.88] area_under_roc_curve 0.8733333333333334 [0.88,0.74,1] area_under_roc_curve 0.8533333333333334 [0.82,0.74,1] area_under_roc_curve 0.84 [0.96,0.66,0.9] area_under_roc_curve 0.7533333333333334 [0.9,0.52,0.84] area_under_roc_curve 0.8733333333333334 [0.86,0.8,0.96] area_under_roc_curve 0.8200000000000001 [0.82,0.78,0.86] area_under_roc_curve 0.9333333333333333 [0.96,0.9,0.94] area_under_roc_curve 0.7866666666666667 [0.86,0.58,0.92] 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 0.8027065527065527 [0.75,0.769231,0.888889] f_measure 0.4222222222222222 [0.6,0,0.666667] f_measure 0.5611111111111111 [0.6,0.25,0.833333] f_measure 0.6204906204906204 [0.666667,0.285714,0.909091] f_measure 0.65007215007215 [0.571429,0.545455,0.833333] f_measure 0.5303030303030303 [0.5,0.363636,0.727273] f_measure 0.7407407407407407 [0.666667,0.666667,0.888889] f_measure 0.7944444444444445 [0.833333,0.75,0.8] f_measure 0.7388888888888889 [0.8,0.666667,0.75] f_measure 0.6572390572390572 [0.727273,0.444444,0.8] kappa 0.7000000000000001 kappa 0.2 kappa 0.39999999999999997 kappa 0.49999999999999994 kappa 0.49999999999999994 kappa 0.3 kappa 0.5999999999999999 kappa 0.7000000000000001 kappa 0.5999999999999999 kappa 0.49999999999999994 kb_relative_information_score 6.727441208625196 kb_relative_information_score 4.836475429958466 kb_relative_information_score 8.072499939981594 kb_relative_information_score 7.590904220548149 kb_relative_information_score 6.282271159023363 kb_relative_information_score 4.664169608267245 kb_relative_information_score 6.977287848714782 kb_relative_information_score 7.094322790139623 kb_relative_information_score 6.859405022049344 kb_relative_information_score 5.716107830326203 mean_absolute_error 0.2881695349697296 mean_absolute_error 0.33230996646170574 mean_absolute_error 0.23634131857020504 mean_absolute_error 0.24907200033017576 mean_absolute_error 0.296820606169471 mean_absolute_error 0.3401362086193413 mean_absolute_error 0.2733802821481733 mean_absolute_error 0.2769573463234802 mean_absolute_error 0.2838153132740706 mean_absolute_error 0.31342737375567303 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] precision 0.875 [1,0.625,1] precision 0.3904761904761905 [0.6,0,0.571429] precision 0.5492063492063491 [0.6,0.333333,0.714286] precision 0.6349206349206349 [0.571429,0.5,0.833333] precision 0.738095238095238 [1,0.5,0.714286] precision 0.5555555555555555 [0.666667,0.333333,0.666667] precision 0.7738095238095238 [0.75,0.571429,1] precision 0.8380952380952381 [0.714286,1,0.8] precision 0.7904761904761906 [0.8,0.571429,1] precision 0.6555555555555554 [0.666667,0.5,0.8] predictive_accuracy 0.8 predictive_accuracy 0.4666666666666666 predictive_accuracy 0.6 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.5333333333333333 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.8 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.6666666666666667 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 recall 0.8 [0.6,1,0.8] recall 0.4666666666666667 [0.6,0,0.8] recall 0.6 [0.6,0.2,1] recall 0.6666666666666666 [0.8,0.2,1] recall 0.6666666666666666 [0.4,0.6,1] recall 0.5333333333333333 [0.4,0.4,0.8] recall 0.7333333333333333 [0.6,0.8,0.8] recall 0.8 [1,0.6,0.8] recall 0.7333333333333333 [0.8,0.8,0.6] recall 0.6666666666666666 [0.8,0.4,0.8] relative_absolute_error 0.6483814536818913 relative_absolute_error 0.7476974245388377 relative_absolute_error 0.5317679667829612 relative_absolute_error 0.5604120007428953 relative_absolute_error 0.6678463638813095 relative_absolute_error 0.7653064693935177 relative_absolute_error 0.6151056348333896 relative_absolute_error 0.6231540292278303 relative_absolute_error 0.6385844548666586 relative_absolute_error 0.7052115909502641 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_squared_error 0.36989134688857944 root_mean_squared_error 0.4333886627830707 root_mean_squared_error 0.3495909189264296 root_mean_squared_error 0.37258237944829015 root_mean_squared_error 0.39423113179236047 root_mean_squared_error 0.4293571388067734 root_mean_squared_error 0.3580452614231104 root_mean_squared_error 0.39140930650290945 root_mean_squared_error 0.35539729978177387 root_mean_squared_error 0.40489434669893803 root_relative_squared_error 0.7846580390614202 root_relative_squared_error 0.9193561870298376 root_relative_squared_error 0.7415943282423447 root_relative_squared_error 0.7903665811755158 root_relative_squared_error 0.8362905199356767 root_relative_squared_error 0.9108040332033696 root_relative_squared_error 0.7595286969719746 root_relative_squared_error 0.8303045245431933 root_relative_squared_error 0.7539115220732416 root_relative_squared_error 0.8589106146447482 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 15.946161999977448 usercpu_time_millis 13.87309999995523 usercpu_time_millis 12.61858000009397 usercpu_time_millis 12.312876000009965 usercpu_time_millis 11.172247999979845 usercpu_time_millis 11.24179299995376 usercpu_time_millis 11.046516999954292 usercpu_time_millis 11.106825999945613 usercpu_time_millis 11.468464999893513 usercpu_time_millis 11.363289000087207 usercpu_time_millis_testing 1.4830579999625115 usercpu_time_millis_testing 1.3954710000234627 usercpu_time_millis_testing 1.2660900000582842 usercpu_time_millis_testing 1.2182010000287846 usercpu_time_millis_testing 1.1683699999593955 usercpu_time_millis_testing 1.1729919999652338 usercpu_time_millis_testing 1.1553460000186533 usercpu_time_millis_testing 1.1565329999712048 usercpu_time_millis_testing 1.1631699999270495 usercpu_time_millis_testing 1.1630669999931342 usercpu_time_millis_training 14.463104000014937 usercpu_time_millis_training 12.477628999931767 usercpu_time_millis_training 11.352490000035687 usercpu_time_millis_training 11.09467499998118 usercpu_time_millis_training 10.00387800002045 usercpu_time_millis_training 10.068800999988525 usercpu_time_millis_training 9.891170999935639 usercpu_time_millis_training 9.950292999974408 usercpu_time_millis_training 10.305294999966463 usercpu_time_millis_training 10.200222000094072