OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

129575 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6747, kappa: 0.2635, kb_relative_information_score: 106.1715, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6719, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.6959, kappa: 0.312, kb_relative_information_score: 143.3229, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6941, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8758, kappa: 0.7259, kb_relative_information_score: 426.1757, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8769, predictive_accuracy: 0.8752, prior_entropy: 0.9279, recall: 0.8752, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7475, kappa: 0.4342, kb_relative_information_score: 239.5662, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.746, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6741, kappa: 0.2617, kb_relative_information_score: 108.5269, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6715, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9269, kappa: 0.8379, kb_relative_information_score: 492.4617, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.927, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.842, kappa: 0.6496, kb_relative_information_score: 384.5953, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8421, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7111, kappa: 0.3512, kb_relative_information_score: 172.2493, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7089, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7111, kappa: 0.3512, kb_relative_information_score: 173.4376, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7089, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7305, kappa: 0.3938, kb_relative_information_score: 228.1515, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7288, predictive_accuracy: 0.7354, prior_entropy: 0.9279, recall: 0.7354, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 192.8488, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9405, kappa: 0.8689, kb_relative_information_score: 513.35, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7475, kappa: 0.4342, kb_relative_information_score: 239.5662, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.746, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.6959, kappa: 0.312, kb_relative_information_score: 144.5926, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6941, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9571, kappa: 0.9055, kb_relative_information_score: 537.493, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9585, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7073, kappa: 0.3403, kb_relative_information_score: 168.8511, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7051, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7893, kappa: 0.5337, kb_relative_information_score: 289.9572, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.79, predictive_accuracy: 0.7887, prior_entropy: 0.9279, recall: 0.7887, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7097, kappa: 0.3465, kb_relative_information_score: 162.6313, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7075, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7335, kappa: 0.4, kb_relative_information_score: 229.117, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7319, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8938, kappa: 0.7647, kb_relative_information_score: 448.6331, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8941, predictive_accuracy: 0.8935, prior_entropy: 0.9279, recall: 0.8935, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7263, kappa: 0.3832, kb_relative_information_score: 208.0598, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7246, predictive_accuracy: 0.7321, prior_entropy: 0.9279, recall: 0.7321, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7475, kappa: 0.4342, kb_relative_information_score: 238.7564, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.746, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7282, kappa: 0.3878, kb_relative_information_score: 209.3056, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7265, predictive_accuracy: 0.7338, prior_entropy: 0.9279, recall: 0.7338, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 473.2618, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.719, kappa: 0.3664, kb_relative_information_score: 190.7688, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7172, predictive_accuracy: 0.7255, prior_entropy: 0.9279, recall: 0.7255, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7078, kappa: 0.3419, kb_relative_information_score: 162.4812, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7055, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.413, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8216, kappa: 0.6075, kb_relative_information_score: 343.8987, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8239, predictive_accuracy: 0.8203, prior_entropy: 0.9279, recall: 0.8203, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 473.0663, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7111, kappa: 0.3512, kb_relative_information_score: 172.7091, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7089, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7078, kappa: 0.3419, kb_relative_information_score: 162.72, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7055, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7263, kappa: 0.3832, kb_relative_information_score: 207.2345, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7246, predictive_accuracy: 0.7321, prior_entropy: 0.9279, recall: 0.7321, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.6965, kappa: 0.3137, kb_relative_information_score: 148.5268, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6944, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7527, kappa: 0.4462, kb_relative_information_score: 236.7218, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7513, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.845, kappa: 0.6553, kb_relative_information_score: 386.5494, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8448, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8032, kappa: 0.5622, kb_relative_information_score: 307.4648, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8028, predictive_accuracy: 0.8037, prior_entropy: 0.9279, recall: 0.8037, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8235, kappa: 0.6125, kb_relative_information_score: 344.29, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8265, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9537, kappa: 0.8978, kb_relative_information_score: 536.1735, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9545, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8003, kappa: 0.5568, kb_relative_information_score: 306.6187, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8003, predictive_accuracy: 0.8003, prior_entropy: 0.9279, recall: 0.8003, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.7249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9075, kappa: 0.7965, kb_relative_information_score: 474.3456, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9092, predictive_accuracy: 0.9068, prior_entropy: 0.9279, recall: 0.9068, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.6945, kappa: 0.3089, kb_relative_information_score: 148.5368, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6924, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.915, kappa: 0.811, kb_relative_information_score: 483.773, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9149, predictive_accuracy: 0.9151, prior_entropy: 0.9279, recall: 0.9151, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8474, kappa: 0.6626, kb_relative_information_score: 390.1695, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8481, predictive_accuracy: 0.8469, prior_entropy: 0.9279, recall: 0.8469, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7083, kappa: 0.3417, kb_relative_information_score: 158.7993, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7063, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7083, kappa: 0.3417, kb_relative_information_score: 159.8301, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7063, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6871, kappa: 0.2917, kb_relative_information_score: 122.8007, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6848, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9075, kappa: 0.7965, kb_relative_information_score: 474.2698, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9092, predictive_accuracy: 0.9068, prior_entropy: 0.9279, recall: 0.9068, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9251, kappa: 0.8336, kb_relative_information_score: 485.5946, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.925, predictive_accuracy: 0.9251, prior_entropy: 0.9279, recall: 0.9251, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.216, root_relative_squared_error: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6865, kappa: 0.2899, kb_relative_information_score: 119.0784, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.695, kappa: 0.3106, kb_relative_information_score: 147.4251, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6928, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7603, kappa: 0.4618, kb_relative_information_score: 250.5207, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.759, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9075, kappa: 0.7965, kb_relative_information_score: 474.5094, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9092, predictive_accuracy: 0.9068, prior_entropy: 0.9279, recall: 0.9068, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8547, kappa: 0.6802, kb_relative_information_score: 388.5958, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8567, predictive_accuracy: 0.8536, prior_entropy: 0.9279, recall: 0.8536, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.842, kappa: 0.6496, kb_relative_information_score: 382.9855, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8421, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9203, kappa: 0.8236, kb_relative_information_score: 483.4615, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9206, predictive_accuracy: 0.9201, prior_entropy: 0.9279, recall: 0.9201, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8704, kappa: 0.7126, kb_relative_information_score: 413.3031, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8705, predictive_accuracy: 0.8702, prior_entropy: 0.9279, recall: 0.8702, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7083, kappa: 0.3417, kb_relative_information_score: 160.1325, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7063, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.7737, kappa: 0.4978, kb_relative_information_score: 277.8223, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7737, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8001, kappa: 0.5558, kb_relative_information_score: 303.9688, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7999, predictive_accuracy: 0.8003, prior_entropy: 0.9279, recall: 0.8003, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 473.6652, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.906, kappa: 0.7936, kb_relative_information_score: 467.9642, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9084, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7955, kappa: 0.5463, kb_relative_information_score: 293.5548, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7956, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.902, kappa: 0.7829, kb_relative_information_score: 458.7472, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9022, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7103, kappa: 0.3464, kb_relative_information_score: 169.8954, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7082, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8284, kappa: 0.6229, kb_relative_information_score: 348.44, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8311, predictive_accuracy: 0.827, prior_entropy: 0.9279, recall: 0.827, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7346, kappa: 0.4017, kb_relative_information_score: 211.9231, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7332, predictive_accuracy: 0.7404, prior_entropy: 0.9279, recall: 0.7404, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.389, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9115, kappa: 0.8031, kb_relative_information_score: 473.5029, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9114, predictive_accuracy: 0.9118, prior_entropy: 0.9279, recall: 0.9118, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7957, kappa: 0.5473, kb_relative_information_score: 295.1133, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7961, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8518, kappa: 0.6709, kb_relative_information_score: 391.0394, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8517, predictive_accuracy: 0.8519, prior_entropy: 0.9279, recall: 0.8519, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7798, kappa: 0.5102, kb_relative_information_score: 275.6791, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7794, predictive_accuracy: 0.7804, prior_entropy: 0.9279, recall: 0.7804, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7877, kappa: 0.5306, kb_relative_information_score: 289.0022, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7886, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9603, kappa: 0.9126, kb_relative_information_score: 537.8823, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9614, predictive_accuracy: 0.9601, prior_entropy: 0.9279, recall: 0.9601, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9051, kappa: 0.7893, kb_relative_information_score: 466.9052, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.6845, kappa: 0.2852, kb_relative_information_score: 117.7932, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6824, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 193.0358, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8924, kappa: 0.7624, kb_relative_information_score: 443.8538, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8933, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7576, kappa: 0.4569, kb_relative_information_score: 254.7706, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7562, predictive_accuracy: 0.7604, prior_entropy: 0.9279, recall: 0.7604, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8014, kappa: 0.558, kb_relative_information_score: 305.4625, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8009, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.719, kappa: 0.3664, kb_relative_information_score: 190.7056, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7172, predictive_accuracy: 0.7255, prior_entropy: 0.9279, recall: 0.7255, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7377, kappa: 0.4105, kb_relative_information_score: 231.3623, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7361, predictive_accuracy: 0.7421, prior_entropy: 0.9279, recall: 0.7421, relative_absolute_error: 0.5927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7347, kappa: 0.4043, kb_relative_information_score: 227.6338, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.733, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7078, kappa: 0.3419, kb_relative_information_score: 161.5291, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7055, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.6845, kappa: 0.2852, kb_relative_information_score: 119.0629, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6824, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8756, kappa: 0.7246, kb_relative_information_score: 423.9516, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.876, predictive_accuracy: 0.8752, prior_entropy: 0.9279, recall: 0.8752, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7737, kappa: 0.4978, kb_relative_information_score: 277.8861, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7737, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.932, kappa: 0.8495, kb_relative_information_score: 503.256, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9323, predictive_accuracy: 0.9318, prior_entropy: 0.9279, recall: 0.9318, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.6931, kappa: 0.3059, kb_relative_information_score: 146.6253, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.7022, prior_entropy: 0.9279, recall: 0.7022, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7798, kappa: 0.5102, kb_relative_information_score: 275.7794, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7794, predictive_accuracy: 0.7804, prior_entropy: 0.9279, recall: 0.7804, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7335, kappa: 0.4, kb_relative_information_score: 228.7359, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7319, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7097, kappa: 0.3465, kb_relative_information_score: 162.2502, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7075, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7347, kappa: 0.4043, kb_relative_information_score: 227.5707, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.733, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8347, kappa: 0.6358, kb_relative_information_score: 349.0818, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8364, predictive_accuracy: 0.8336, prior_entropy: 0.9279, recall: 0.8336, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.6945, kappa: 0.3089, kb_relative_information_score: 143.2197, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6924, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.83, kappa: 0.6261, kb_relative_information_score: 349.3163, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8324, predictive_accuracy: 0.8286, prior_entropy: 0.9279, recall: 0.8286, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.906, kappa: 0.7936, kb_relative_information_score: 467.9642, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9084, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.6931, kappa: 0.3059, kb_relative_information_score: 145.5919, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.7022, prior_entropy: 0.9279, recall: 0.7022, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9034, kappa: 0.7853, kb_relative_information_score: 457.9049, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9033, predictive_accuracy: 0.9035, prior_entropy: 0.9279, recall: 0.9035, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.7986, kappa: 0.5526, kb_relative_information_score: 302.3511, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.7987, prior_entropy: 0.9279, recall: 0.7987, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6747, kappa: 0.2635, kb_relative_information_score: 106.1715, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6719, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8425, kappa: 0.652, kb_relative_information_score: 375.1425, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8434, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 173.2936, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8568,

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

OpenML bootcamp

From your own software

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

OpenML APIs