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: 0.5723, 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: 0.5297, kappa: 0.0593, kb_relative_information_score: 106.7482, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0688, prior_entropy: 6.6439, recall: 0.0688, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1365, root_relative_squared_error: 1.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.6635, kappa: 0.666, kb_relative_information_score: 1069.8455, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6785, predictive_accuracy: 0.6694, prior_entropy: 6.6439, recall: 0.6694, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7205, 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: 0.7352, 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: 0.7538, kappa: 0.5076, kb_relative_information_score: 818.2977, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5125, prior_entropy: 6.6439, recall: 0.5125, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9924,
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: 0.8046, f_measure: 0.6035, kappa: 0.6092, kb_relative_information_score: 979.6491, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6299, predictive_accuracy: 0.6131, prior_entropy: 6.6439, recall: 0.6131, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7203, 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: 0.7302, 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: 0.5016, 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: 0.8614, f_measure: 0.7185, 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: 0.7327, 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: 0.6967, kappa: 0.3933, kb_relative_information_score: 636.9027, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3994, prior_entropy: 6.6439, recall: 0.3994, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1096, root_relative_squared_error: 1.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, kappa: 0.077, kb_relative_information_score: 134.8093, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0863, prior_entropy: 6.6439, recall: 0.0863, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1352, root_relative_squared_error: 1.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.6533, kappa: 0.6559, kb_relative_information_score: 1053.8106, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6789, predictive_accuracy: 0.6594, prior_entropy: 6.6439, recall: 0.6594, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.5692, kappa: 0.5789, kb_relative_information_score: 931.5443, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6013, predictive_accuracy: 0.5831, prior_entropy: 6.6439, recall: 0.5831, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7138, kappa: 0.7184, kb_relative_information_score: 1153.0266, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7313, predictive_accuracy: 0.7213, prior_entropy: 6.6439, recall: 0.7213, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, kappa: 0.0215, kb_relative_information_score: 46.6173, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0313, prior_entropy: 6.6439, recall: 0.0313, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1392, root_relative_squared_error: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kappa: -0.0069, kb_relative_information_score: 1.5191, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.6239, kappa: 0.6143, kb_relative_information_score: 987.6666, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6535, predictive_accuracy: 0.6181, prior_entropy: 6.6439, recall: 0.6181, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, kappa: 0.5543, kb_relative_information_score: 892.4592, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5588, prior_entropy: 6.6439, recall: 0.5588, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, kappa: 0.6061, kb_relative_information_score: 974.6382, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.61, prior_entropy: 6.6439, recall: 0.61, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, kappa: 0.149, kb_relative_information_score: 249.0581, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1575, prior_entropy: 6.6439, recall: 0.1575, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1298, root_relative_squared_error: 1.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, kappa: 0.0152, kb_relative_information_score: 36.5955, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.025, prior_entropy: 6.6439, recall: 0.025, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1396, root_relative_squared_error: 1.4035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, kappa: 0.286, kb_relative_information_score: 466.5317, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2931, prior_entropy: 6.6439, recall: 0.2931, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1189, root_relative_squared_error: 1.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.6165, kappa: 0.6162, kb_relative_information_score: 990.6731, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6528, predictive_accuracy: 0.62, prior_entropy: 6.6439, recall: 0.62, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, kappa: 0.1521, kb_relative_information_score: 254.069, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1606, prior_entropy: 6.6439, recall: 0.1606, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1296, root_relative_squared_error: 1.3022,
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: 0.5928, 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: 0.8425, f_measure: 0.6843, kappa: 0.685, kb_relative_information_score: 1099.911, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7017, predictive_accuracy: 0.6881, prior_entropy: 6.6439, recall: 0.6881, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.079, root_relative_squared_error: 0.7938,
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: 0.8589, f_measure: 0.7177, kappa: 0.7178, kb_relative_information_score: 1152.0245, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.728, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.6921, kappa: 0.6812, kb_relative_information_score: 1093.8979, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7194, predictive_accuracy: 0.6844, prior_entropy: 6.6439, recall: 0.6844, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.6519, 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: 0.6655, 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: 0.5641, kappa: 0.1282, kb_relative_information_score: 215.9861, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1369, prior_entropy: 6.6439, recall: 0.1369, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1314, root_relative_squared_error: 1.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.6092, kappa: 0.5556, kb_relative_information_score: 894.4636, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7219, predictive_accuracy: 0.56, prior_entropy: 6.6439, recall: 0.56, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5802, kappa: 0.1604, kb_relative_information_score: 267.0974, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1688, prior_entropy: 6.6439, recall: 0.1688, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1289, root_relative_squared_error: 1.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7259, kappa: 0.7304, kb_relative_information_score: 1172.0681, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7389, predictive_accuracy: 0.7331, prior_entropy: 6.6439, recall: 0.7331, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.6548, kappa: 0.6559, kb_relative_information_score: 1053.8106, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6781, predictive_accuracy: 0.6594, prior_entropy: 6.6439, recall: 0.6594, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7187, 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: 0.7304, 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: 0.5887, kappa: 0.1774, kb_relative_information_score: 294.1563, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1856, prior_entropy: 6.6439, recall: 0.1856, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1276, root_relative_squared_error: 1.2827,
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: 0.8592, f_measure: 0.7139, kappa: 0.7184, kb_relative_information_score: 1153.0266, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7325, predictive_accuracy: 0.7213, prior_entropy: 6.6439, recall: 0.7213, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, kappa: 0.339, kb_relative_information_score: 550.715, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3456, prior_entropy: 6.6439, recall: 0.3456, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1144, root_relative_squared_error: 1.1498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.655, 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: 0.6787, 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: 0.7494, kappa: 0.4987, kb_relative_information_score: 804.2672, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5038, prior_entropy: 6.6439, recall: 0.5038, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5606, kappa: 0.1212, kb_relative_information_score: 204.9621, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.13, prior_entropy: 6.6439, recall: 0.13, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1319, root_relative_squared_error: 1.3257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, kappa: 0.2405, kb_relative_information_score: 394.3746, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2481, prior_entropy: 6.6439, recall: 0.2481, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1226, root_relative_squared_error: 1.2325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, kappa: -0.0069, kb_relative_information_score: 1.5191, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, kappa: 0.5726, kb_relative_information_score: 921.5225, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5769, prior_entropy: 6.6439, recall: 0.5769, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.092, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, kappa: 0.0884, kb_relative_information_score: 152.8486, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0975, prior_entropy: 6.6439, recall: 0.0975, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1344, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.6821, kappa: 0.6635, kb_relative_information_score: 1065.8368, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7204, predictive_accuracy: 0.6669, prior_entropy: 6.6439, recall: 0.6669, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.8204,
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: 0.7541, f_measure: 0.4982, kappa: 0.5082, kb_relative_information_score: 819.2999, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5305, predictive_accuracy: 0.5131, prior_entropy: 6.6439, recall: 0.5131, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.6529, 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: 0.6743, 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: 0.8134, f_measure: 0.6582, kappa: 0.6269, kb_relative_information_score: 1007.7102, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7147, predictive_accuracy: 0.6306, prior_entropy: 6.6439, recall: 0.6306, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0019, kb_relative_information_score: 15.5496, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0119, prior_entropy: 6.6439, recall: 0.0119, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, kappa: 0.5423, kb_relative_information_score: 873.4178, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5469, prior_entropy: 6.6439, recall: 0.5469, relative_absolute_error: 0.4577, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, kappa: 0.1673, kb_relative_information_score: 278.1214, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, 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: 0.7203, kappa: 0.4407, kb_relative_information_score: 712.0664, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4463, prior_entropy: 6.6439, recall: 0.4463, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1052, root_relative_squared_error: 1.0577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7205, kappa: 0.7247, kb_relative_information_score: 1163.0485, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7336, predictive_accuracy: 0.7275, prior_entropy: 6.6439, recall: 0.7275, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, kappa: 0.4646, kb_relative_information_score: 750.1493, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.47, prior_entropy: 6.6439, recall: 0.47, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.103, root_relative_squared_error: 1.0347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, kappa: 0.1319, kb_relative_information_score: 221.9992, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1406, prior_entropy: 6.6439, recall: 0.1406, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1311, root_relative_squared_error: 1.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7051, kappa: 0.7071, kb_relative_information_score: 1134.9874, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7201, predictive_accuracy: 0.71, prior_entropy: 6.6439, recall: 0.71, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7199, kappa: 0.7254, kb_relative_information_score: 1164.0507, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7331, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0044, kb_relative_information_score: 19.5584, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0144, prior_entropy: 6.6439, recall: 0.0144, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, kappa: 0.5101, kb_relative_information_score: 822.3065, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.515, prior_entropy: 6.6439, recall: 0.515, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, kappa: 0.4729, kb_relative_information_score: 763.1777, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4781, prior_entropy: 6.6439, recall: 0.4781, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1022, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, kappa: 0.0928, kb_relative_information_score: 159.8639, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1019, prior_entropy: 6.6439, recall: 0.1019, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.134, root_relative_squared_error: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7069, kappa: 0.7102, kb_relative_information_score: 1139.9983, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.723, predictive_accuracy: 0.7131, prior_entropy: 6.6439, recall: 0.7131, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, kappa: 0.4476, kb_relative_information_score: 723.0904, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4531, prior_entropy: 6.6439, recall: 0.4531, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1046, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7079, kappa: 0.7128, kb_relative_information_score: 1144.007, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7236, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.6682, kappa: 0.6711, kb_relative_information_score: 1077.863, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6831, predictive_accuracy: 0.6744, prior_entropy: 6.6439, recall: 0.6744, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, kappa: 0.4962, kb_relative_information_score: 800.2584, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5013, prior_entropy: 6.6439, recall: 0.5013, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0999, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, kappa: 0.2494, kb_relative_information_score: 408.4051, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2569, prior_entropy: 6.6439, recall: 0.2569, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1219, root_relative_squared_error: 1.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, kappa: 0.2595, kb_relative_information_score: 424.44, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2669, prior_entropy: 6.6439, recall: 0.2669, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1211, root_relative_squared_error: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, kappa: 0.0234, kb_relative_information_score: 49.6238, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0331, prior_entropy: 6.6439, recall: 0.0331, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1391, root_relative_squared_error: 1.3976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.69, 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: 0.7067, 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: 0.5653, kappa: 0.1307, kb_relative_information_score: 219.9948, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1394, prior_entropy: 6.6439, recall: 0.1394, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1312, root_relative_squared_error: 1.3186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.701, kappa: 0.7052, kb_relative_information_score: 1131.9808, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7151, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.1793, kappa: 0.1597, kb_relative_information_score: 266.0952, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2629, predictive_accuracy: 0.1681, prior_entropy: 6.6439, recall: 0.1681, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.129, root_relative_squared_error: 1.2964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.609, kappa: 0.6168, kb_relative_information_score: 991.6753, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6318, predictive_accuracy: 0.6206, prior_entropy: 6.6439, recall: 0.6206, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.6854, 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: 0.7013, 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: 0.5729, 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: 0.8419, f_measure: 0.6805, 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: 0.6931, 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: 0.5723, 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: 0.4949, 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: 0.6263, kappa: 0.2525, kb_relative_information_score: 413.416, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.26, prior_entropy: 6.6439, recall: 0.26, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1217, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.6797, kappa: 0.6824, kb_relative_information_score: 1095.9023, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6992, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.679, kappa: 0.6824, kb_relative_information_score: 1095.9023, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6978, predictive_accuracy: 0.6856, prior_entropy: 6.6439, recall: 0.6856, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7199, 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: 0.7295, 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: 0.4984, kappa: -0.0032, kb_relative_information_score: 7.5322, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.6836, kappa: 0.6862, kb_relative_information_score: 1101.9153, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6967, predictive_accuracy: 0.6894, prior_entropy: 6.6439, recall: 0.6894, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7922,
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: 0.5003, 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: 0.5013, kappa: 0.0025, kb_relative_information_score: 16.5518, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1405, root_relative_squared_error: 1.4124,
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: 0.7481, kappa: 0.4962, kb_relative_information_score: 800.2584, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5013, prior_entropy: 6.6439, recall: 0.5013, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0999, root_relative_squared_error: 1.0038,

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