OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kappa: -0.0038, kb_relative_information_score: 6.53, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8452, kappa: 0.8428, kb_relative_information_score: 1356.4308, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8514, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.7789, kappa: 0.7797, kb_relative_information_score: 1355.832, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7951, predictive_accuracy: 0.7819, prior_entropy: 6.6439, recall: 0.7819, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.8153, kappa: 0.8144, kb_relative_information_score: 238.6492, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8257, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.7485, kappa: 0.7449, kb_relative_information_score: 1277.0022, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7631, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.065, root_relative_squared_error: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.6784, kappa: 0.6831, kb_relative_information_score: 1167.5143, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6866, predictive_accuracy: 0.6863, prior_entropy: 6.6439, recall: 0.6863, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.072, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.846, kappa: 0.8428, kb_relative_information_score: 1383.4425, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8516, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7595, kappa: 0.7576, kb_relative_information_score: 1346.3779, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.772, predictive_accuracy: 0.76, prior_entropy: 6.6439, recall: 0.76, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8464, kappa: 0.8428, kb_relative_information_score: 1373.3548, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.855, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.4794, kappa: 0.4729, kb_relative_information_score: 802.9828, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4907, predictive_accuracy: 0.4781, prior_entropy: 6.6439, recall: 0.4781, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.4128, kappa: 0.4198, kb_relative_information_score: 957.1863, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4325, predictive_accuracy: 0.4256, prior_entropy: 6.6439, recall: 0.4256, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, f_measure: 0.0281, kappa: 0.0303, kb_relative_information_score: 60.6478, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0274, predictive_accuracy: 0.04, prior_entropy: 6.6439, recall: 0.04, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1386, root_relative_squared_error: 1.3926, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8156, kappa: 0.8106, kb_relative_information_score: 1348.3405, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8258, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.772, kappa: 0.7708, kb_relative_information_score: 711.8713, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7864, predictive_accuracy: 0.7731, prior_entropy: 6.6439, recall: 0.7731, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8298, kappa: 0.8283, kb_relative_information_score: 1371.439, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8358, predictive_accuracy: 0.83, prior_entropy: 6.6439, recall: 0.83, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2547, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.6486, kappa: 0.6629, kb_relative_information_score: 1064.744, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6628, predictive_accuracy: 0.6663, prior_entropy: 6.6439, recall: 0.6663, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.7143, kappa: 0.7134, kb_relative_information_score: 1236.5056, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7262, predictive_accuracy: 0.7163, prior_entropy: 6.6439, recall: 0.7163, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.441, kappa: 0.4419, kb_relative_information_score: 977.333, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4586, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7455, kappa: 0.7443, kb_relative_information_score: 1311.4193, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.766, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.4331, kappa: 0.4129, kb_relative_information_score: 737.3346, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4715, predictive_accuracy: 0.4188, prior_entropy: 6.6439, recall: 0.4188, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8329, kappa: 0.8302, kb_relative_information_score: 1430.6473, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8404, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8437, kappa: 0.8415, kb_relative_information_score: 1400.5915, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8501, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.6177, kappa: 0.6136, kb_relative_information_score: 1071.4957, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.63, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8467, kappa: 0.8441, kb_relative_information_score: 1423.4493, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8576, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8502, kappa: 0.851, kb_relative_information_score: 1180.0636, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8546, predictive_accuracy: 0.8525, prior_entropy: 6.6439, recall: 0.8525, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.7544, kappa: 0.7487, kb_relative_information_score: 238.2169, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7793, predictive_accuracy: 0.7513, prior_entropy: 6.6439, recall: 0.7513, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.5556, kappa: 0.5549, kb_relative_information_score: 1091.56, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5633, predictive_accuracy: 0.5594, prior_entropy: 6.6439, recall: 0.5594, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.3457, kappa: 0.3529, kb_relative_information_score: 228.5598, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3654, predictive_accuracy: 0.3594, prior_entropy: 6.6439, recall: 0.3594, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.8128, kappa: 0.8106, kb_relative_information_score: 239.1738, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8227, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.479, kappa: 0.4729, kb_relative_information_score: 802.9934, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4906, predictive_accuracy: 0.4781, prior_entropy: 6.6439, recall: 0.4781, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.6521, kappa: 0.6534, kb_relative_information_score: 1184.6523, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6734, predictive_accuracy: 0.6569, prior_entropy: 6.6439, recall: 0.6569, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8405, kappa: 0.8384, kb_relative_information_score: 1336.7624, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8465, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7927, kappa: 0.7992, kb_relative_information_score: 1105.5874, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8038, predictive_accuracy: 0.8013, prior_entropy: 6.6439, recall: 0.8013, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.6559, kappa: 0.6736, kb_relative_information_score: 1058.7474, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6782, predictive_accuracy: 0.6769, prior_entropy: 6.6439, recall: 0.6769, relative_absolute_error: 0.747, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7804, kappa: 0.7885, kb_relative_information_score: 1163.7759, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.792, predictive_accuracy: 0.7906, prior_entropy: 6.6439, recall: 0.7906, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, kappa: -0.0025, kb_relative_information_score: 28.3881, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, kappa: 0.2569, kb_relative_information_score: 43.2329, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2644, prior_entropy: 6.6439, recall: 0.2644, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8334, kappa: 0.8295, kb_relative_information_score: 988.3449, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8406, predictive_accuracy: 0.8313, prior_entropy: 6.6439, recall: 0.8313, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.8441, kappa: 0.8441, kb_relative_information_score: 0.3972, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8493, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8354, kappa: 0.8314, kb_relative_information_score: 989.2362, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8434, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4472, kappa: 0.0025, kb_relative_information_score: 21.3334, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.4708, kappa: 0.4691, kb_relative_information_score: 757.1646, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4768, predictive_accuracy: 0.4744, prior_entropy: 6.6439, recall: 0.4744, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1025, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4719, kappa: 0.0025, kb_relative_information_score: 40.5588, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.7221, kappa: 0.7039, kb_relative_information_score: 1244.1263, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7678, predictive_accuracy: 0.7069, prior_entropy: 6.6439, recall: 0.7069, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8305, kappa: 0.827, kb_relative_information_score: 987.1754, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8375, predictive_accuracy: 0.8288, prior_entropy: 6.6439, recall: 0.8288, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8424, kappa: 0.839, kb_relative_information_score: 948.9088, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8474, predictive_accuracy: 0.8406, prior_entropy: 6.6439, recall: 0.8406, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.6626, kappa: 0.678, kb_relative_information_score: 968.1077, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7032, predictive_accuracy: 0.6813, prior_entropy: 6.6439, recall: 0.6813, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4676, kappa: -0.0025, kb_relative_information_score: 12.0287, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.7386, kappa: 0.7393, kb_relative_information_score: 1235.4428, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7477, predictive_accuracy: 0.7419, prior_entropy: 6.6439, recall: 0.7419, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, kappa: -0.0032, kb_relative_information_score: 22.9786, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.7065, kappa: 0.7109, kb_relative_information_score: 1160.0899, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7125, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.7207, kappa: 0.7336, kb_relative_information_score: 1025.9177, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.744, predictive_accuracy: 0.7363, prior_entropy: 6.6439, recall: 0.7363, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7412, kappa: 0.7513, kb_relative_information_score: 1129.0359, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.753, predictive_accuracy: 0.7538, prior_entropy: 6.6439, recall: 0.7538, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, kappa: -0.0025, kb_relative_information_score: 51.7074, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8367, kappa: 0.8333, kb_relative_information_score: 986.5639, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8439, predictive_accuracy: 0.835, prior_entropy: 6.6439, recall: 0.835, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7942, kappa: 0.7866, kb_relative_information_score: 1359.1788, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8123, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.7445, kappa: 0.7481, kb_relative_information_score: 1203.6174, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7523, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, kappa: 0.0025, kb_relative_information_score: 31.9906, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4639, kappa: 0.0025, kb_relative_information_score: 32.2836, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, kappa: 0.06, kb_relative_information_score: 107.7504, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0694, prior_entropy: 6.6439, recall: 0.0694, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1364, root_relative_squared_error: 1.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, kappa: 0.3561, kb_relative_information_score: 528.4275, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3625, prior_entropy: 6.6439, recall: 0.3625, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.096, root_relative_squared_error: 0.9652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, kappa: 0.0076, kb_relative_information_score: 52.3365, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0175, prior_entropy: 6.6439, recall: 0.0175, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7088, kappa: 0.721, kb_relative_information_score: 1040.4699, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7333, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.8154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8236, kappa: 0.8201, kb_relative_information_score: 978.1231, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8305, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8181, kappa: 0.8138, kb_relative_information_score: 981.3547, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8266, predictive_accuracy: 0.8156, prior_entropy: 6.6439, recall: 0.8156, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, kappa: 0.0758, kb_relative_information_score: 132.805, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.085, prior_entropy: 6.6439, recall: 0.085, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1353, root_relative_squared_error: 1.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, kappa: 0.4596, kb_relative_information_score: 752.5731, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7576, kappa: 0.7658, kb_relative_information_score: 1035.3706, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7802, predictive_accuracy: 0.7681, prior_entropy: 6.6439, recall: 0.7681, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.7708, kappa: 0.7311, kb_relative_information_score: 905.4572, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8305, predictive_accuracy: 0.7338, prior_entropy: 6.6439, recall: 0.7338, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, kappa: 0.3169, kb_relative_information_score: 734.4678, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3238, prior_entropy: 6.6439, recall: 0.3238, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8377, kappa: 0.834, kb_relative_information_score: 990.1287, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8453, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.701, kappa: 0.7008, kb_relative_information_score: 1208.3112, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7094, predictive_accuracy: 0.7038, prior_entropy: 6.6439, recall: 0.7038, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, kappa: 0.0095, kb_relative_information_score: 23.5591, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0194, prior_entropy: 6.6439, recall: 0.0194, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.262, kappa: -0.0057, kb_relative_information_score: 12.538, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0044, prior_entropy: 6.6439, recall: 0.0044, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7194, kappa: 0.7304, kb_relative_information_score: 1063.3962, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7401, predictive_accuracy: 0.7331, prior_entropy: 6.6439, recall: 0.7331, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7283, kappa: 0.7405, kb_relative_information_score: 986.7637, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7569, predictive_accuracy: 0.7431, prior_entropy: 6.6439, recall: 0.7431, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8342, kappa: 0.8308, kb_relative_information_score: 982.2196, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8405, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4699, kappa: 0.0025, kb_relative_information_score: 22.6854, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2354, kappa: -0.0063, kb_relative_information_score: 2.869, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.8021, kappa: 0.8005, kb_relative_information_score: 0.2618, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8117, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7741, kappa: 0.7759, kb_relative_information_score: 0.7347, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.779, predictive_accuracy: 0.7781, prior_entropy: 6.6439, recall: 0.7781, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8255, kappa: 0.8213, kb_relative_information_score: 988.9394, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8343, predictive_accuracy: 0.8231, prior_entropy: 6.6439, recall: 0.8231, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8281, kappa: 0.8239, kb_relative_information_score: 954.1779, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8368, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, kappa: 0.5271, kb_relative_information_score: 994.045, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5319, prior_entropy: 6.6439, recall: 0.5319, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8078, kappa: 0.8144, kb_relative_information_score: 1048.589, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8228, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7406, kappa: 0.7254, kb_relative_information_score: 1174.1014, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7766, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0695, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.6984, kappa: 0.7109, kb_relative_information_score: 1137.3652, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7142, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.4979, kappa: 0.5038, kb_relative_information_score: 1060.2947, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.506, predictive_accuracy: 0.5088, prior_entropy: 6.6439, recall: 0.5088, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.7925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.396, kappa: -0.0095, kb_relative_information_score: 21.8873, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0006, prior_entropy: 6.6439, recall: 0.0006, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8304, kappa: 0.827, kb_relative_information_score: 987.0043, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8378, predictive_accuracy: 0.8288, prior_entropy: 6.6439, recall: 0.8288, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7912, kappa: 0.786, kb_relative_information_score: 956.3752, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8039, predictive_accuracy: 0.7881, prior_entropy: 6.6439, recall: 0.7881, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.6993, kappa: 0.7027, kb_relative_information_score: 1150.8905, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.701, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.073, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.821, kappa: 0.8169, kb_relative_information_score: 982.369, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8295, predictive_accuracy: 0.8188, prior_entropy: 6.6439, recall: 0.8188, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, kappa: 0.2601, kb_relative_information_score: 322.7784, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2675, prior_entropy: 6.6439, recall: 0.2675, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.098, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.8491, kappa: 0.8472, kb_relative_information_score: 1430.5594, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.856, predictive_accuracy: 0.8488, prior_entropy: 6.6439, recall: 0.8488, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3258, kappa: -0.0101, kb_relative_information_score: 23.4043, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3876, kappa: -0.0101, kb_relative_information_score: 34.2116, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.328, kappa: -0.0101, kb_relative_information_score: 17.9854, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.6688, kappa: 0.6705, kb_relative_information_score: 1157.8074, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6734, predictive_accuracy: 0.6738, prior_entropy: 6.6439, recall: 0.6738, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7274,

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