Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 21922 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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21922 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9148, kappa: 0.8419, kb_relative_information_score: 0.7668, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9289, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4768, unweighted_recall: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7811, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9168, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4698, unweighted_recall: 0.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9148, kappa: 0.8419, kb_relative_information_score: 0.7668, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9072, number_of_instances: 625, precision: 0.9289, predictive_accuracy: 0.9072, prior_entropy: 1.3181, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4768, unweighted_recall: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7786, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9168, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4721, unweighted_recall: 0.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8947, kappa: 0.8167, kb_relative_information_score: 0.7744, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, weighted_recall: 0.896, number_of_instances: 625, precision: 0.8935, predictive_accuracy: 0.896, prior_entropy: 1.3181, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5388, unweighted_recall: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.792, kappa: 0.6144, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7744, number_of_instances: 625, precision: 0.8106, predictive_accuracy: 0.7744, prior_entropy: 1.3181, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903, unweighted_recall: 0.5658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8947, kappa: 0.8167, kb_relative_information_score: 0.7744, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, weighted_recall: 0.896, number_of_instances: 625, precision: 0.8935, predictive_accuracy: 0.896, prior_entropy: 1.3181, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5388, unweighted_recall: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8947, kappa: 0.8167, kb_relative_information_score: 0.7744, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, weighted_recall: 0.896, number_of_instances: 625, precision: 0.8935, predictive_accuracy: 0.896, prior_entropy: 1.3181, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5388, unweighted_recall: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8766, kappa: 0.8031, kb_relative_information_score: 0.7196, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8912, number_of_instances: 625, precision: 0.8697, predictive_accuracy: 0.8912, prior_entropy: 1.3181, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.5409, unweighted_recall: 0.6955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8624, kappa: 0.787, kb_relative_information_score: 0.6728, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8832, number_of_instances: 625, precision: 0.8525, predictive_accuracy: 0.8832, prior_entropy: 1.3181, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5578, unweighted_recall: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8645, kappa: 0.7654, kb_relative_information_score: 0.7208, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8672, number_of_instances: 625, precision: 0.8622, predictive_accuracy: 0.8672, prior_entropy: 1.3181, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5895, unweighted_recall: 0.6894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8444, kappa: 0.7704, kb_relative_information_score: 0.6038, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8752, number_of_instances: 625, precision: 0.8158, predictive_accuracy: 0.8752, prior_entropy: 1.3181, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5791, unweighted_recall: 0.6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.4684, kappa: 0.2559, kb_relative_information_score: 0.1736, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.3798, weighted_recall: 0.4672, number_of_instances: 625, precision: 0.5419, predictive_accuracy: 0.4672, prior_entropy: 1.3181, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.2552, unweighted_recall: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8947, kappa: 0.8167, kb_relative_information_score: 0.7744, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, weighted_recall: 0.896, number_of_instances: 625, precision: 0.8935, predictive_accuracy: 0.896, prior_entropy: 1.3181, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5388, unweighted_recall: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8947, kappa: 0.8167, kb_relative_information_score: 0.7744, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, weighted_recall: 0.896, number_of_instances: 625, precision: 0.8935, predictive_accuracy: 0.896, prior_entropy: 1.3181, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5388, unweighted_recall: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8308, kappa: 0.7216, kb_relative_information_score: 0.5841, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8448, number_of_instances: 625, precision: 0.8201, predictive_accuracy: 0.8448, prior_entropy: 1.3181, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6387, unweighted_recall: 0.6111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7948, kappa: 0.6214, kb_relative_information_score: 0.5608, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.8113, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, unweighted_recall: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8151, kappa: 0.6824, kb_relative_information_score: 0.6221, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8208, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.8208, prior_entropy: 1.3181, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7935, unweighted_recall: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8645, kappa: 0.7654, kb_relative_information_score: 0.7208, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8672, number_of_instances: 625, precision: 0.8622, predictive_accuracy: 0.8672, prior_entropy: 1.3181, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5895, unweighted_recall: 0.6894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8947, kappa: 0.8167, kb_relative_information_score: 0.7744, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, weighted_recall: 0.896, number_of_instances: 625, precision: 0.8935, predictive_accuracy: 0.896, prior_entropy: 1.3181, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5388, unweighted_recall: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9672, kappa: 0.9413, kb_relative_information_score: 0.904, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3798, weighted_recall: 0.9664, number_of_instances: 625, precision: 0.9682, predictive_accuracy: 0.9664, prior_entropy: 1.3181, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2841, unweighted_recall: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8947, kappa: 0.8167, kb_relative_information_score: 0.7744, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8935, predictive_accuracy: 0.896, prior_entropy: 1.3181, recall: 0.896, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, kappa: 0.5579, kb_relative_information_score: 0.274, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.7616, prior_entropy: 1.3181, recall: 0.7616, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7731, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.918, kappa: 0.8475, kb_relative_information_score: 0.7756, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9326, predictive_accuracy: 0.9104, prior_entropy: 1.3181, recall: 0.9104, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7713, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9467, kappa: 0.905, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9483, predictive_accuracy: 0.9456, prior_entropy: 1.3181, recall: 0.9456, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7613, kappa: 0.6093, kb_relative_information_score: 0.1409, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.744, predictive_accuracy: 0.7872, prior_entropy: 1.3181, recall: 0.7872, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.8963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, kappa: 0.6973, kb_relative_information_score: 0.5189, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8368, prior_entropy: 1.3181, recall: 0.8368, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7723, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7711, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7763, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9258, kappa: 0.8665, kb_relative_information_score: 0.7851, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9294, predictive_accuracy: 0.9232, prior_entropy: 1.3181, recall: 0.9232, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, kappa: 0.7033, kb_relative_information_score: 0.5616, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.84, prior_entropy: 1.3181, recall: 0.84, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.969, kappa: 0.9443, kb_relative_information_score: 0.888, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9711, predictive_accuracy: 0.968, prior_entropy: 1.3181, recall: 0.968, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9247, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1.3181, recall: 1, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.098, root_relative_squared_error: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7761, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9135, kappa: 0.8407, kb_relative_information_score: 0.7746, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9237, predictive_accuracy: 0.9072, prior_entropy: 1.3181, recall: 0.9072, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7795, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.775, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.948, kappa: 0.9079, kb_relative_information_score: 0.831, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9495, predictive_accuracy: 0.9472, prior_entropy: 1.3181, recall: 0.9472, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4525, kappa: -0.0742, kb_relative_information_score: 0.005, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.4208, prior_entropy: 1.3181, recall: 0.4208, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7766, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9235, kappa: 0.8652, kb_relative_information_score: 0.7966, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9238, predictive_accuracy: 0.9232, prior_entropy: 1.3181, recall: 0.9232, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9308, kappa: 0.8831, kb_relative_information_score: 0.7937, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9298, predictive_accuracy: 0.9344, prior_entropy: 1.3181, recall: 0.9344, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8485, kappa: 0.7642, kb_relative_information_score: 0.6716, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8308, predictive_accuracy: 0.8704, prior_entropy: 1.3181, recall: 0.8704, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9374, kappa: 0.8866, kb_relative_information_score: 0.7979, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9427, predictive_accuracy: 0.9344, prior_entropy: 1.3181, recall: 0.9344, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9328, kappa: 0.88, kb_relative_information_score: 0.8019, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.935, predictive_accuracy: 0.9312, prior_entropy: 1.3181, recall: 0.9312, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, kappa: 0.7389, kb_relative_information_score: 0.5669, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8592, prior_entropy: 1.3181, recall: 0.8592, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7774, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.926, kappa: 0.8633, kb_relative_information_score: 0.781, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9376, predictive_accuracy: 0.92, prior_entropy: 1.3181, recall: 0.92, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.924, kappa: 0.8636, kb_relative_information_score: 0.7821, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9273, predictive_accuracy: 0.9216, prior_entropy: 1.3181, recall: 0.9216, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9247, kappa: 0.8607, kb_relative_information_score: 0.7767, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.937, predictive_accuracy: 0.9184, prior_entropy: 1.3181, recall: 0.9184, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9921, kappa: 0.986, kb_relative_information_score: 0.9268, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9924, predictive_accuracy: 0.992, prior_entropy: 1.3181, recall: 0.992, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9861, kappa: 0.9749, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9878, predictive_accuracy: 0.9856, prior_entropy: 1.3181, recall: 0.9856, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, kappa: 0.7507, kb_relative_information_score: 0.5353, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8656, prior_entropy: 1.3181, recall: 0.8656, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8912, kappa: 0.8067, kb_relative_information_score: 0.3997, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8939, predictive_accuracy: 0.8896, prior_entropy: 1.3181, recall: 0.8896, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.7105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9572, kappa: 0.9222, kb_relative_information_score: 0.8689, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9605, predictive_accuracy: 0.9552, prior_entropy: 1.3181, recall: 0.9552, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9953, kappa: 0.9916, kb_relative_information_score: 0.9224, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9955, predictive_accuracy: 0.9952, prior_entropy: 1.3181, recall: 0.9952, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9224, kappa: 0.8589, kb_relative_information_score: 0.7796, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9284, predictive_accuracy: 0.9184, prior_entropy: 1.3181, recall: 0.9184, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9275, kappa: 0.8694, kb_relative_information_score: 0.794, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9316, predictive_accuracy: 0.9248, prior_entropy: 1.3181, recall: 0.9248, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7764, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9574, kappa: 0.9223, kb_relative_information_score: 0.8648, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9612, predictive_accuracy: 0.9552, prior_entropy: 1.3181, recall: 0.9552, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8661, kappa: 0.7848, kb_relative_information_score: 0.373, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8657, predictive_accuracy: 0.8816, prior_entropy: 1.3181, recall: 0.8816, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.771, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, kappa: 0.4006, kb_relative_information_score: 0.2158, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.6768, prior_entropy: 1.3181, recall: 0.6768, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7765, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9713, kappa: 0.9495, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9715, predictive_accuracy: 0.9712, prior_entropy: 1.3181, recall: 0.9712, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9275, kappa: 0.8676, kb_relative_information_score: 0.7793, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9347, predictive_accuracy: 0.9232, prior_entropy: 1.3181, recall: 0.9232, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9413, kappa: 0.8928, kb_relative_information_score: 0.8006, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9493, predictive_accuracy: 0.9376, prior_entropy: 1.3181, recall: 0.9376, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7781, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.964, kappa: 0.9337, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9693, predictive_accuracy: 0.9616, prior_entropy: 1.3181, recall: 0.9616, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, kappa: 0.7418, kb_relative_information_score: 0.5678, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8608, prior_entropy: 1.3181, recall: 0.8608, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7768, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9811, kappa: 0.9664, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9817, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8575, kappa: 0.7766, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8425, predictive_accuracy: 0.8768, prior_entropy: 1.3181, recall: 0.8768, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.783, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8476, kappa: 0.7528, kb_relative_information_score: 0.7095, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8426, predictive_accuracy: 0.864, prior_entropy: 1.3181, recall: 0.864, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9224, kappa: 0.8589, kb_relative_information_score: 0.7813, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9284, predictive_accuracy: 0.9184, prior_entropy: 1.3181, recall: 0.9184, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.873, kappa: 0.7833, kb_relative_information_score: 0.6334, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8697, predictive_accuracy: 0.8784, prior_entropy: 1.3181, recall: 0.8784, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7766, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9223, kappa: 0.8646, kb_relative_information_score: 0.7814, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9215, predictive_accuracy: 0.9232, prior_entropy: 1.3181, recall: 0.9232, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7755, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9697, kappa: 0.9467, kb_relative_information_score: 0.8957, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9699, predictive_accuracy: 0.9696, prior_entropy: 1.3181, recall: 0.9696, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9808, kappa: 0.9663, kb_relative_information_score: 0.9059, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 1.3181, recall: 0.9808, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, kappa: 0.8012, kb_relative_information_score: 0.6009, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8928, prior_entropy: 1.3181, recall: 0.8928, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7759, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9221, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1.3181, recall: 1, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9944, kb_relative_information_score: 0.9301, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 1.3181, recall: 0.9968, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.2152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7788, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9409, kappa: 0.8941, kb_relative_information_score: 0.8211, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9433, predictive_accuracy: 0.9392, prior_entropy: 1.3181, recall: 0.9392, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9191, kappa: 0.859, kb_relative_information_score: 0.783, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9183, predictive_accuracy: 0.92, prior_entropy: 1.3181, recall: 0.92, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9244, kappa: 0.859, kb_relative_information_score: 0.7806, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9411, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.779, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7723, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9529, kappa: 0.9162, kb_relative_information_score: 0.845, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9542, predictive_accuracy: 0.952, prior_entropy: 1.3181, recall: 0.952, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9826, kappa: 0.9692, kb_relative_information_score: 0.9129, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.983, predictive_accuracy: 0.9824, prior_entropy: 1.3181, recall: 0.9824, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7764, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 0.7782, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3181, recall: 0.9168, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9138, kappa: 0.8504, kb_relative_information_score: 0.7888, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9126, predictive_accuracy: 0.9152, prior_entropy: 1.3181, recall: 0.9152, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4557,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs