OpenML
Supervised Classification on one-hundred-plants-shape

Supervised Classification on one-hundred-plants-shape

Task 9955 Supervised Classification one-hundred-plants-shape 13592 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: 0.6916, kappa: 0.3832, kb_relative_information_score: 620.8678, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3894, prior_entropy: 6.6439, recall: 0.3894, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1105, root_relative_squared_error: 1.1107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, kappa: 0.0795, kb_relative_information_score: 138.8181, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0888, prior_entropy: 6.6439, recall: 0.0888, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.135, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, kappa: 0.488, kb_relative_information_score: 787.2301, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4931, prior_entropy: 6.6439, recall: 0.4931, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1007, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.672, kappa: 0.6736, kb_relative_information_score: 1081.8717, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6875, predictive_accuracy: 0.6769, prior_entropy: 6.6439, recall: 0.6769, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: -0.0013, kb_relative_information_score: 10.5387, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0088, prior_entropy: 6.6439, recall: 0.0088, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, kappa: 0.1496, kb_relative_information_score: 250.0603, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1581, prior_entropy: 6.6439, recall: 0.1581, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kappa: -0.0044, kb_relative_information_score: 5.5278, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.141, root_relative_squared_error: 1.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kappa: -0.0057, kb_relative_information_score: 3.5234, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0044, prior_entropy: 6.6439, recall: 0.0044, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.719, kappa: 0.7203, kb_relative_information_score: 1156.0332, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7277, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kappa: -0.0051, kb_relative_information_score: 4.5256, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.005, prior_entropy: 6.6439, recall: 0.005, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, kappa: 0.2191, kb_relative_information_score: 360.3004, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2269, prior_entropy: 6.6439, recall: 0.2269, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1243, root_relative_squared_error: 1.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.19, kappa: 0.1673, kb_relative_information_score: 278.1214, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2787, predictive_accuracy: 0.1756, prior_entropy: 6.6439, recall: 0.1756, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1284, root_relative_squared_error: 1.2905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.6935, kappa: 0.6837, kb_relative_information_score: 1097.9066, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.72, predictive_accuracy: 0.6869, prior_entropy: 6.6439, recall: 0.6869, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: -0.0076, kb_relative_information_score: 0.5169, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, kappa: 0.1913, kb_relative_information_score: 316.2043, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1994, prior_entropy: 6.6439, recall: 0.1994, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1265, root_relative_squared_error: 1.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, kappa: 0.0404, kb_relative_information_score: 76.6827, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.05, prior_entropy: 6.6439, recall: 0.05, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1378, root_relative_squared_error: 1.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.6947, kappa: 0.6881, kb_relative_information_score: 1104.9219, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7164, predictive_accuracy: 0.6913, prior_entropy: 6.6439, recall: 0.6913, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.6896, kappa: 0.6919, kb_relative_information_score: 1110.935, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7043, predictive_accuracy: 0.695, prior_entropy: 6.6439, recall: 0.695, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, kappa: 0.1496, kb_relative_information_score: 250.0603, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1581, prior_entropy: 6.6439, recall: 0.1581, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, kappa: 0.1452, kb_relative_information_score: 243.045, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1538, prior_entropy: 6.6439, recall: 0.1538, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.5571, kappa: 0.5694, kb_relative_information_score: 916.5116, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5914, predictive_accuracy: 0.5738, prior_entropy: 6.6439, recall: 0.5738, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.677, kappa: 0.6547, kb_relative_information_score: 1051.8062, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7187, predictive_accuracy: 0.6581, prior_entropy: 6.6439, recall: 0.6581, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, kappa: 0.3018, kb_relative_information_score: 491.5863, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3088, prior_entropy: 6.6439, recall: 0.3088, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1176, root_relative_squared_error: 1.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, kappa: 0.1471, kb_relative_information_score: 246.0516, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1556, prior_entropy: 6.6439, recall: 0.1556, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.5913, kappa: 0.5316, kb_relative_information_score: 856.3807, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.723, predictive_accuracy: 0.5363, prior_entropy: 6.6439, recall: 0.5363, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.723, kappa: 0.7266, kb_relative_information_score: 1166.055, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7328, predictive_accuracy: 0.7294, prior_entropy: 6.6439, recall: 0.7294, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, kappa: 0.1458, kb_relative_information_score: 244.0472, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1544, prior_entropy: 6.6439, recall: 0.1544, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, kappa: 0.1471, kb_relative_information_score: 246.0516, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1556, prior_entropy: 6.6439, recall: 0.1556, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, kappa: 0.476, kb_relative_information_score: 768.1886, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4813, prior_entropy: 6.6439, recall: 0.4813, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1019, root_relative_squared_error: 1.0237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, kappa: 0.0644, kb_relative_information_score: 114.7657, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0738, prior_entropy: 6.6439, recall: 0.0738, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1361, root_relative_squared_error: 1.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.5294, kappa: 0.5183, kb_relative_information_score: 835.3348, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5714, predictive_accuracy: 0.5231, prior_entropy: 6.6439, recall: 0.5231, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.659, kappa: 0.6282, kb_relative_information_score: 1009.7146, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7153, predictive_accuracy: 0.6319, prior_entropy: 6.6439, recall: 0.6319, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, kappa: 0.5821, kb_relative_information_score: 936.5552, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5863, prior_entropy: 6.6439, recall: 0.5863, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.6912, kappa: 0.6938, kb_relative_information_score: 1113.9415, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7078, predictive_accuracy: 0.6969, prior_entropy: 6.6439, recall: 0.6969, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, kappa: 0.2393, kb_relative_information_score: 392.3702, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2469, prior_entropy: 6.6439, recall: 0.2469, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1227, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, kappa: 0.036, kb_relative_information_score: 69.6675, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0456, prior_entropy: 6.6439, recall: 0.0456, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1382, root_relative_squared_error: 1.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7086, kappa: 0.7134, kb_relative_information_score: 1145.0092, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7251, predictive_accuracy: 0.7163, prior_entropy: 6.6439, recall: 0.7163, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, kappa: 0.1856, kb_relative_information_score: 307.1847, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1938, prior_entropy: 6.6439, recall: 0.1938, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.127, root_relative_squared_error: 1.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, kappa: 0.0814, kb_relative_information_score: 141.8246, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0906, prior_entropy: 6.6439, recall: 0.0906, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1349, root_relative_squared_error: 1.3554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.4984, kappa: 0.517, kb_relative_information_score: 833.3305, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5267, predictive_accuracy: 0.5219, prior_entropy: 6.6439, recall: 0.5219, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.5814, kappa: 0.5202, kb_relative_information_score: 838.3414, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7142, predictive_accuracy: 0.525, prior_entropy: 6.6439, recall: 0.525, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, kappa: 0.1717, kb_relative_information_score: 285.1367, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.18, prior_entropy: 6.6439, recall: 0.18, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1281, root_relative_squared_error: 1.2871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6783, kappa: 0.6799, kb_relative_information_score: 1091.8935, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6952, predictive_accuracy: 0.6831, prior_entropy: 6.6439, recall: 0.6831, relative_absolute_error: 0.3201, 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: 0.7939, f_measure: 0.6315, kappa: 0.5878, kb_relative_information_score: 945.5749, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7154, predictive_accuracy: 0.5919, prior_entropy: 6.6439, recall: 0.5919, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, kappa: 0.2064, kb_relative_information_score: 340.2567, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2144, prior_entropy: 6.6439, recall: 0.2144, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1253, root_relative_squared_error: 1.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, kappa: 0.1452, kb_relative_information_score: 243.045, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1538, prior_entropy: 6.6439, recall: 0.1538, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7204, kappa: 0.7241, kb_relative_information_score: 1162.0463, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7347, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.6909, kappa: 0.6932, kb_relative_information_score: 1112.9394, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7059, predictive_accuracy: 0.6963, prior_entropy: 6.6439, recall: 0.6963, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.7833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.629, kappa: 0.6237, kb_relative_information_score: 1002.6993, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6525, predictive_accuracy: 0.6275, prior_entropy: 6.6439, recall: 0.6275, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7189, kappa: 0.7191, kb_relative_information_score: 1154.0288, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7279, predictive_accuracy: 0.7219, prior_entropy: 6.6439, recall: 0.7219, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6613, kappa: 0.6616, kb_relative_information_score: 1062.8302, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6796, predictive_accuracy: 0.665, prior_entropy: 6.6439, recall: 0.665, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kappa: 0.0032, kb_relative_information_score: 17.554, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0131, prior_entropy: 6.6439, recall: 0.0131, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, kappa: 0.024, kb_relative_information_score: 50.626, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0338, prior_entropy: 6.6439, recall: 0.0338, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.139, root_relative_squared_error: 1.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, kappa: 0.5139, kb_relative_information_score: 828.3195, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5188, prior_entropy: 6.6439, recall: 0.5188, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, kappa: 0.2254, kb_relative_information_score: 370.3222, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2331, prior_entropy: 6.6439, recall: 0.2331, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1238, root_relative_squared_error: 1.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kappa: 0.0038, kb_relative_information_score: 18.5562, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.6419, kappa: 0.6389, kb_relative_information_score: 1026.7517, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6625, predictive_accuracy: 0.6425, prior_entropy: 6.6439, recall: 0.6425, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, kappa: 0.3106, kb_relative_information_score: 505.6168, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3175, prior_entropy: 6.6439, recall: 0.3175, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1168, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, kappa: 0.459, kb_relative_information_score: 741.1297, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4644, prior_entropy: 6.6439, recall: 0.4644, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1035, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.6537, kappa: 0.6566, kb_relative_information_score: 1054.8128, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6784, predictive_accuracy: 0.66, prior_entropy: 6.6439, recall: 0.66, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7025, kappa: 0.6982, kb_relative_information_score: 1120.9568, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7222, predictive_accuracy: 0.7013, prior_entropy: 6.6439, recall: 0.7013, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, kappa: 0.1471, kb_relative_information_score: 246.0516, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1556, prior_entropy: 6.6439, recall: 0.1556, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kappa: -0.0057, kb_relative_information_score: 3.5234, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0044, prior_entropy: 6.6439, recall: 0.0044, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1411, root_relative_squared_error: 1.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.3359, kappa: 0.3081, kb_relative_information_score: 501.6081, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4366, predictive_accuracy: 0.315, prior_entropy: 6.6439, recall: 0.315, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.117, root_relative_squared_error: 1.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, kappa: 0.5069, kb_relative_information_score: 817.2955, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5119, prior_entropy: 6.6439, recall: 0.5119, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, kappa: -0.0101, kb_relative_information_score: -3.4918, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1414, root_relative_squared_error: 1.4213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, kappa: 0.1553, kb_relative_information_score: 259.0799, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1638, prior_entropy: 6.6439, recall: 0.1638, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1293, root_relative_squared_error: 1.2998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.6996, kappa: 0.7014, kb_relative_information_score: 1125.9677, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7143, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, kappa: 0.1439, kb_relative_information_score: 241.0407, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1525, prior_entropy: 6.6439, recall: 0.1525, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1302, root_relative_squared_error: 1.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.72, kappa: 0.7229, kb_relative_information_score: 1160.0419, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7292, predictive_accuracy: 0.7256, prior_entropy: 6.6439, recall: 0.7256, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.6912, kappa: 0.6938, kb_relative_information_score: 1113.9415, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7078, predictive_accuracy: 0.6969, prior_entropy: 6.6439, recall: 0.6969, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, kappa: 0.4792, kb_relative_information_score: 773.1995, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4844, prior_entropy: 6.6439, recall: 0.4844, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1016, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, kappa: 0.1446, kb_relative_information_score: 242.0428, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1531, prior_entropy: 6.6439, recall: 0.1531, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, kappa: 0.0859, kb_relative_information_score: 148.8399, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.095, prior_entropy: 6.6439, recall: 0.095, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1345, root_relative_squared_error: 1.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7166, kappa: 0.7203, kb_relative_information_score: 1156.0332, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7277, predictive_accuracy: 0.7231, prior_entropy: 6.6439, recall: 0.7231, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6749, kappa: 0.6787, kb_relative_information_score: 1089.8892, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6904, predictive_accuracy: 0.6819, prior_entropy: 6.6439, recall: 0.6819, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, kappa: 0.5713, kb_relative_information_score: 919.5181, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5756, prior_entropy: 6.6439, recall: 0.5756, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.6956, kappa: 0.6982, kb_relative_information_score: 1120.9568, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7103, predictive_accuracy: 0.7013, prior_entropy: 6.6439, recall: 0.7013, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0106, prior_entropy: 6.6439, recall: 0.0106, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, kappa: 0.1452, kb_relative_information_score: 243.045, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1538, prior_entropy: 6.6439, recall: 0.1538, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, kappa: 0.1187, kb_relative_information_score: 200.9534, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1275, prior_entropy: 6.6439, recall: 0.1275, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1321, root_relative_squared_error: 1.3276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, kappa: 0.1503, kb_relative_information_score: 251.0625, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1588, prior_entropy: 6.6439, recall: 0.1588, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1297, root_relative_squared_error: 1.3036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.6371, kappa: 0.5934, kb_relative_information_score: 954.5945, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7183, predictive_accuracy: 0.5975, prior_entropy: 6.6439, recall: 0.5975, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7243, kappa: 0.7285, kb_relative_information_score: 1169.0616, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7372, predictive_accuracy: 0.7313, prior_entropy: 6.6439, recall: 0.7313, relative_absolute_error: 0.2715, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7086, kappa: 0.7134, kb_relative_information_score: 1145.0092, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7246, predictive_accuracy: 0.7163, prior_entropy: 6.6439, recall: 0.7163, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kappa: -0.0019, kb_relative_information_score: 9.5365, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, kappa: 0.6048, kb_relative_information_score: 972.6338, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6088, prior_entropy: 6.6439, recall: 0.6088, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, kappa: 0.4066, kb_relative_information_score: 657.9485, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4125, prior_entropy: 6.6439, recall: 0.4125, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1084, root_relative_squared_error: 1.0894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, kappa: 0.3176, kb_relative_information_score: 516.6408, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3244, prior_entropy: 6.6439, recall: 0.3244, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1162, root_relative_squared_error: 1.1683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, kappa: 0.1452, kb_relative_information_score: 243.045, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1538, prior_entropy: 6.6439, recall: 0.1538, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1301, root_relative_squared_error: 1.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0316, kb_relative_information_score: 62.6522, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0413, prior_entropy: 6.6439, recall: 0.0413, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1385, root_relative_squared_error: 1.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.4805, kappa: 0.4949, kb_relative_information_score: 798.2541, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5202, predictive_accuracy: 0.5, prior_entropy: 6.6439, recall: 0.5, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 13.5453, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0106, prior_entropy: 6.6439, recall: 0.0106, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4138,

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