OpenML
Supervised Classification on cm1_req

Supervised Classification on cm1_req

Task 3906 Supervised Classification cm1_req 494 runs submitted
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  • study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4496, f_measure: 0.6898, kappa: 0.0301, kb_relative_information_score: -5.2985, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6789, predictive_accuracy: 0.764, prior_entropy: 0.7793, recall: 0.764, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.0932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4884, kb_relative_information_score: -1.1957, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.3518, number_of_instances: 89, predictive_accuracy: 0.7753, prior_entropy: 0.7793, recall: 0.7753, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, kb_relative_information_score: 0.6876, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.3518, number_of_instances: 89, predictive_accuracy: 0.7753, prior_entropy: 0.7793, recall: 0.7753, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.6869, kappa: 0.0405, kb_relative_information_score: 7.7977, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6676, predictive_accuracy: 0.7191, prior_entropy: 0.7793, recall: 0.7191, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.53, root_relative_squared_error: 1.2696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.6716, kappa: -0.0219, kb_relative_information_score: -30.6086, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.5991, predictive_accuracy: 0.764, prior_entropy: 0.7793, recall: 0.764, relative_absolute_error: 1.1502, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4734, f_measure: 0.657, kappa: -0.0654, kb_relative_information_score: -6.0445, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6215, predictive_accuracy: 0.7079, prior_entropy: 0.7793, recall: 0.7079, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.72, kappa: 0.1374, kb_relative_information_score: 0.7111, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7082, predictive_accuracy: 0.7528, prior_entropy: 0.7794, recall: 0.7528, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4363, root_relative_squared_error: 1.0453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.7193, kappa: 0.1225, kb_relative_information_score: 3.3181, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7628, predictive_accuracy: 0.7865, prior_entropy: 0.7794, recall: 0.7865, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.6771, kb_relative_information_score: -1.0233, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.712, kappa: 0.0992, kb_relative_information_score: 3.5987, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7235, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: -0.32, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.704, kappa: 0.098, kb_relative_information_score: -0.6418, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6891, predictive_accuracy: 0.7303, prior_entropy: 0.7794, recall: 0.7303, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.438, root_relative_squared_error: 1.0491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.7454, kappa: 0.2159, kb_relative_information_score: 6.0315, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7404, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.712, kappa: 0.1173, kb_relative_information_score: -0.2051, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.698, predictive_accuracy: 0.7416, prior_entropy: 0.7794, recall: 0.7416, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.0573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3504, f_measure: 0.6771, kb_relative_information_score: -2.6137, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, f_measure: 0.6869, kappa: 0.0405, kb_relative_information_score: 0.056, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6676, predictive_accuracy: 0.7191, prior_entropy: 0.7794, recall: 0.7191, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.0352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3772, f_measure: 0.6771, kb_relative_information_score: -5.6895, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.7029, kappa: 0.0755, kb_relative_information_score: -2.5627, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.8326, predictive_accuracy: 0.7865, prior_entropy: 0.7794, recall: 0.7865, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5319, f_measure: 0.6716, kappa: -0.0219, kb_relative_information_score: 15.9851, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.5991, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.1288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: -0.32, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.712, kappa: 0.0992, kb_relative_information_score: 4.8144, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7235, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.409, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.6771, kb_relative_information_score: 0.7502, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: -0.32, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.6942, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3504, f_measure: 0.6771, kb_relative_information_score: -4.3609, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4594, f_measure: 0.6716, kappa: -0.0219, kb_relative_information_score: -3.8485, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.5991, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4348, root_relative_squared_error: 1.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.7043, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4562, f_measure: 0.6794, kappa: 0.0228, kb_relative_information_score: -22.058, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6603, predictive_accuracy: 0.7079, prior_entropy: 0.7794, recall: 0.7079, relative_absolute_error: 1.1072, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.7174, kappa: 0.1196, kb_relative_information_score: 2.0892, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7109, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4437, root_relative_squared_error: 1.0629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.6716, kappa: -0.0219, kb_relative_information_score: 20.598, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.5991, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.1636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, f_measure: 0.6869, kappa: 0.0405, kb_relative_information_score: -18.6518, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6676, predictive_accuracy: 0.7191, prior_entropy: 0.7794, recall: 0.7191, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.7712, kappa: 0.2873, kb_relative_information_score: 0.2984, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.794, predictive_accuracy: 0.809, prior_entropy: 0.7794, recall: 0.809, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4801, f_measure: 0.6833, kappa: 0.0166, kb_relative_information_score: -15.358, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6592, predictive_accuracy: 0.7303, prior_entropy: 0.7794, recall: 0.7303, relative_absolute_error: 1.059, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4495, root_relative_squared_error: 1.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.7043, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4489, f_measure: 0.6181, kappa: -0.1762, kb_relative_information_score: -13.9303, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.579, predictive_accuracy: 0.6629, prior_entropy: 0.7794, recall: 0.6629, relative_absolute_error: 1.0459, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4805, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.6716, kappa: -0.0219, kb_relative_information_score: 1.9521, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.5991, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.728, kappa: 0.1585, kb_relative_information_score: -2.3191, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7201, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4345, root_relative_squared_error: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.7361, kappa: 0.1805, kb_relative_information_score: 5.347, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7345, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0973,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, f_measure: 0.6869, kappa: 0.0405, kb_relative_information_score: -18.6518, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6676, predictive_accuracy: 0.7191, prior_entropy: 0.7794, recall: 0.7191, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.158, scimark_benchmark: 1501.5832, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.6716, kappa: -0.0219, kb_relative_information_score: 20.598, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.5991, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.1636, scimark_benchmark: 1124.9342, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.6961, kappa: 0.0794, kb_relative_information_score: -0.8003, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6812, predictive_accuracy: 0.7191, prior_entropy: 0.7794, recall: 0.7191, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4491, root_relative_squared_error: 1.0759, scimark_benchmark: 1306.594, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.7021, kappa: 0.0783, kb_relative_information_score: 5.7255, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6854, predictive_accuracy: 0.7416, prior_entropy: 0.7794, recall: 0.7416, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.06, scimark_benchmark: 1326.1242, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.7097, kappa: 0.0985, kb_relative_information_score: 2.6814, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6968, predictive_accuracy: 0.7528, prior_entropy: 0.7794, recall: 0.7528, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4658, root_relative_squared_error: 1.1158, scimark_benchmark: 1343.7631, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7021, kappa: 0.0783, kb_relative_information_score: -1.0172, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6854, predictive_accuracy: 0.7416, prior_entropy: 0.7794, recall: 0.7416, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0589, scimark_benchmark: 1308.0088, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.712, kappa: 0.0992, kb_relative_information_score: 3.0879, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7235, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.0017, scimark_benchmark: 977.8826, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.6976, kappa: 0.0559, kb_relative_information_score: 17.398, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6821, predictive_accuracy: 0.7528, prior_entropy: 0.7794, recall: 0.7528, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.191, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.7043, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.7048, kappa: 0.077, kb_relative_information_score: -1.4537, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.699, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0264, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7021, kappa: 0.0783, kb_relative_information_score: -1.0172, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6854, predictive_accuracy: 0.7416, prior_entropy: 0.7794, recall: 0.7416, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0589, scimark_benchmark: 1089.8153, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: -0.32, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0001, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.7043, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, f_measure: 0.6869, kappa: 0.0405, kb_relative_information_score: -18.6518, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6676, predictive_accuracy: 0.7191, prior_entropy: 0.7794, recall: 0.7191, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.158, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.6716, kappa: -0.0219, kb_relative_information_score: 20.598, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.5991, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.1636, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.6976, kappa: 0.0559, kb_relative_information_score: 17.398, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6821, predictive_accuracy: 0.7528, prior_entropy: 0.7794, recall: 0.7528, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.191, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.6961, kappa: 0.0794, kb_relative_information_score: -0.8003, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6812, predictive_accuracy: 0.7191, prior_entropy: 0.7794, recall: 0.7191, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4491, root_relative_squared_error: 1.0759, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.7021, kappa: 0.0783, kb_relative_information_score: 5.7255, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6854, predictive_accuracy: 0.7416, prior_entropy: 0.7794, recall: 0.7416, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.06, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.7097, kappa: 0.0985, kb_relative_information_score: 2.6814, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6968, predictive_accuracy: 0.7528, prior_entropy: 0.7794, recall: 0.7528, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4658, root_relative_squared_error: 1.1158, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.712, kappa: 0.0992, kb_relative_information_score: 3.0879, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7235, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.0017, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.7043, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.7048, kappa: 0.077, kb_relative_information_score: -1.4537, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.699, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0264, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: -0.32, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0001, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.7043, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.712, kappa: 0.0992, kb_relative_information_score: 3.5987, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7235, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.0033, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6882, kappa: 0.0616, kb_relative_information_score: -4.0144, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6741, predictive_accuracy: 0.7079, prior_entropy: 0.7794, recall: 0.7079, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.0934, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7021, kappa: 0.0783, kb_relative_information_score: -1.0172, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6854, predictive_accuracy: 0.7416, prior_entropy: 0.7794, recall: 0.7416, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0589, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7021, kappa: 0.0783, kb_relative_information_score: -1.0172, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6854, predictive_accuracy: 0.7416, prior_entropy: 0.7794, recall: 0.7416, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0589, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3504, f_measure: 0.6771, kb_relative_information_score: -4.2988, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0214, scimark_benchmark: 1788.6668,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3475, f_measure: 0.6771, kb_relative_information_score: -3.5719, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0214, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3482, f_measure: 0.6771, kb_relative_information_score: -4.2986, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0214, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.6716, kappa: -0.0219, kb_relative_information_score: 20.598, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.5991, predictive_accuracy: 0.764, prior_entropy: 0.7794, recall: 0.764, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.1636, scimark_benchmark: 925.1921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3504, f_measure: 0.6771, kb_relative_information_score: -4.3609, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0214, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.7251, kappa: 0.1418, kb_relative_information_score: 1.7374, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.7288, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.0189, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3819, f_measure: 0.6771, kb_relative_information_score: -4.1763, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0265, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3504, f_measure: 0.6771, kb_relative_information_score: -4.3609, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0214, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6771, kb_relative_information_score: 23.7981, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1356, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.6976, kappa: 0.0559, kb_relative_information_score: 17.398, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6821, predictive_accuracy: 0.7528, prior_entropy: 0.7794, recall: 0.7528, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.191, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.7043, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: 0.7043, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9999, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4775, f_measure: 0.6771, kb_relative_information_score: -0.6971, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.0023, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.6771, kb_relative_information_score: -0.32, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0001, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3772, f_measure: 0.6771, kb_relative_information_score: -5.6895, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6011, predictive_accuracy: 0.7753, prior_entropy: 0.7794, recall: 0.7753, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0186, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, f_measure: 0.6869, kappa: 0.0405, kb_relative_information_score: -18.6518, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6676, predictive_accuracy: 0.7191, prior_entropy: 0.7794, recall: 0.7191, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.158, scimark_benchmark: 1732.2066,

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

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs