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: 0.8302, f_measure: 0.6571, kappa: 0.6604, kb_relative_information_score: 1060.8259, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6714, predictive_accuracy: 0.6638, prior_entropy: 6.6439, recall: 0.6638, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.082, root_relative_squared_error: 0.8242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, kappa: 0.0284, kb_relative_information_score: 57.6413, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0381, prior_entropy: 6.6439, recall: 0.0381, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1387, root_relative_squared_error: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7183, 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: 0.7298, 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: 0.5, 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: 0.8621, f_measure: 0.7206, 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: 0.642, kappa: 0.2841, kb_relative_information_score: 463.5252, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2913, prior_entropy: 6.6439, recall: 0.2913, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1191, root_relative_squared_error: 1.1966,
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: 0.7891, kappa: 0.5783, kb_relative_information_score: 930.5422, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5825, prior_entropy: 6.6439, recall: 0.5825, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.5409, kappa: 0.5543, kb_relative_information_score: 892.4592, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5809, 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: 0.8491, f_measure: 0.6965, 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: 0.714, 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: 0.7917, kappa: 0.5833, kb_relative_information_score: 938.5596, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5875, prior_entropy: 6.6439, recall: 0.5875, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, kappa: 0.5063, kb_relative_information_score: 816.2934, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5113, prior_entropy: 6.6439, recall: 0.5113, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, kappa: 0.0865, kb_relative_information_score: 149.8421, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0956, prior_entropy: 6.6439, recall: 0.0956, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1345, root_relative_squared_error: 1.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7179, kappa: 0.7197, kb_relative_information_score: 1155.031, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7282, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7023, kappa: 0.7045, kb_relative_information_score: 1130.9786, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7161, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, kappa: 0.1806, kb_relative_information_score: 299.1672, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1888, prior_entropy: 6.6439, recall: 0.1888, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1274, root_relative_squared_error: 1.2802,
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: 0.8134, f_measure: 0.6288, 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: 0.6454, 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: 0.5777, 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: 0.8598, f_measure: 0.719, kappa: 0.7197, kb_relative_information_score: 1155.031, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7279, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7487,
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: 0.5354, kappa: 0.0707, kb_relative_information_score: 124.7875, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.08, prior_entropy: 6.6439, recall: 0.08, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1356, root_relative_squared_error: 1.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, kappa: 0.4463, kb_relative_information_score: 721.086, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4519, prior_entropy: 6.6439, recall: 0.4519, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1047, root_relative_squared_error: 1.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, kappa: 0.2102, kb_relative_information_score: 346.2698, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2181, prior_entropy: 6.6439, recall: 0.2181, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.125, root_relative_squared_error: 1.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.7204, kappa: 0.7222, kb_relative_information_score: 1159.0397, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7296, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7454,
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: 0.5754, kappa: 0.1509, kb_relative_information_score: 252.0647, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1594, prior_entropy: 6.6439, recall: 0.1594, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1297, root_relative_squared_error: 1.3032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7183, 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: 0.8564, f_measure: 0.708, 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: 0.8627, f_measure: 0.7205, 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: 0.7354, 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: 0.8466, f_measure: 0.6908, 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: 0.7067, 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: 0.8201, f_measure: 0.6352, kappa: 0.6402, kb_relative_information_score: 1028.756, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6561, predictive_accuracy: 0.6438, prior_entropy: 6.6439, recall: 0.6438, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8483,
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: 0.5735, 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: 0.7434, kappa: 0.4867, kb_relative_information_score: 785.2257, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4919, prior_entropy: 6.6439, recall: 0.4919, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1008, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7127, 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: 0.7257, 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: 0.8617, f_measure: 0.7222, kappa: 0.7235, kb_relative_information_score: 1161.0441, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7315, predictive_accuracy: 0.7263, prior_entropy: 6.6439, recall: 0.7263, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.6366, kappa: 0.6351, kb_relative_information_score: 1020.7386, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6566, predictive_accuracy: 0.6388, prior_entropy: 6.6439, recall: 0.6388, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.6633, kappa: 0.6648, kb_relative_information_score: 1067.8411, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6795, predictive_accuracy: 0.6681, prior_entropy: 6.6439, recall: 0.6681, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.6487, kappa: 0.6484, kb_relative_information_score: 1041.7844, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6632, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, kappa: 0.1919, kb_relative_information_score: 317.2065, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2, prior_entropy: 6.6439, recall: 0.2, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1265, root_relative_squared_error: 1.2713,
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: 0.8595, f_measure: 0.7184, 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: 0.727, 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: 0.8277, f_measure: 0.6523, kappa: 0.6553, kb_relative_information_score: 1052.8084, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6779, predictive_accuracy: 0.6588, prior_entropy: 6.6439, recall: 0.6588, relative_absolute_error: 0.3447, 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: 0.5723, 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: 0.8554, f_measure: 0.7068, kappa: 0.7109, kb_relative_information_score: 1141.0005, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7236, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7104, kappa: 0.714, kb_relative_information_score: 1146.0114, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7241, predictive_accuracy: 0.7169, prior_entropy: 6.6439, recall: 0.7169, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7181, 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: 0.7278, 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: 0.8513, f_measure: 0.7008, kappa: 0.7027, kb_relative_information_score: 1127.9721, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7182, predictive_accuracy: 0.7056, prior_entropy: 6.6439, recall: 0.7056, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, kappa: 0.1218, kb_relative_information_score: 205.9643, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1306, prior_entropy: 6.6439, recall: 0.1306, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1319, root_relative_squared_error: 1.3253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.6159, kappa: 0.5676, kb_relative_information_score: 913.5051, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7132, predictive_accuracy: 0.5719, prior_entropy: 6.6439, recall: 0.5719, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, kappa: 0.173, kb_relative_information_score: 287.1411, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1813, prior_entropy: 6.6439, recall: 0.1813, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.128, root_relative_squared_error: 1.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.6913, 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: 0.7082, 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: 0.8608, f_measure: 0.719, kappa: 0.7216, kb_relative_information_score: 1158.0376, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7286, predictive_accuracy: 0.7244, prior_entropy: 6.6439, recall: 0.7244, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, kappa: 0.0322, kb_relative_information_score: 63.6544, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0419, prior_entropy: 6.6439, recall: 0.0419, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1384, root_relative_squared_error: 1.3913,
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: 0.7885, f_measure: 0.5681, kappa: 0.577, kb_relative_information_score: 928.5378, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5984, predictive_accuracy: 0.5813, prior_entropy: 6.6439, recall: 0.5813, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7038, 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: 0.7169, 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: 0.8488, f_measure: 0.6955, kappa: 0.6976, kb_relative_information_score: 1119.9546, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7088, predictive_accuracy: 0.7006, prior_entropy: 6.6439, recall: 0.7006, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, kappa: 0.279, kb_relative_information_score: 455.5077, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2863, prior_entropy: 6.6439, recall: 0.2863, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1195, root_relative_squared_error: 1.2008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, kappa: 0.4299, kb_relative_information_score: 695.0293, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4356, prior_entropy: 6.6439, recall: 0.4356, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1062, root_relative_squared_error: 1.0678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.6916, 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: 0.7054, 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: 0.6802, kappa: 0.3605, kb_relative_information_score: 584.7892, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3669, prior_entropy: 6.6439, recall: 0.3669, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1125, root_relative_squared_error: 1.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.6203, 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: 0.6418, 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: 0.5499, kappa: 0.0997, kb_relative_information_score: 170.8879, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1088, prior_entropy: 6.6439, recall: 0.1088, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1335, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7047, kappa: 0.7077, kb_relative_information_score: 1135.9895, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7181, predictive_accuracy: 0.7106, prior_entropy: 6.6439, recall: 0.7106, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, kappa: 0.0271, kb_relative_information_score: 55.6369, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0369, prior_entropy: 6.6439, recall: 0.0369, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1388, root_relative_squared_error: 1.3949,
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: 0.5723, 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: 0.559, kappa: 0.1181, kb_relative_information_score: 199.9512, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1269, prior_entropy: 6.6439, recall: 0.1269, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1321, root_relative_squared_error: 1.3281,
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: 0.7017, f_measure: 0.3937, kappa: 0.4034, kb_relative_information_score: 652.9376, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4141, predictive_accuracy: 0.4094, prior_entropy: 6.6439, recall: 0.4094, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1087, root_relative_squared_error: 1.0923,
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: 0.5735, 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: 0.4965, 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: 0.7633, f_measure: 0.5875, kappa: 0.5265, kb_relative_information_score: 848.3632, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7248, predictive_accuracy: 0.5313, prior_entropy: 6.6439, recall: 0.5313, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7074, kappa: 0.7096, kb_relative_information_score: 1138.9961, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7227, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.6692, kappa: 0.6446, kb_relative_information_score: 1035.7713, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7141, predictive_accuracy: 0.6481, prior_entropy: 6.6439, recall: 0.6481, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, kappa: 0.125, kb_relative_information_score: 210.9752, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1338, prior_entropy: 6.6439, recall: 0.1338, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1316, root_relative_squared_error: 1.3229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, kappa: 0.2336, kb_relative_information_score: 383.3506, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2413, prior_entropy: 6.6439, recall: 0.2413, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1232, root_relative_squared_error: 1.2381,
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: 0.8497, f_measure: 0.6972, kappa: 0.6995, kb_relative_information_score: 1122.9612, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7104, predictive_accuracy: 0.7025, prior_entropy: 6.6439, recall: 0.7025, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, kappa: 0.1465, kb_relative_information_score: 245.0494, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.155, prior_entropy: 6.6439, recall: 0.155, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.13, root_relative_squared_error: 1.3065,
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: 0.4968, kappa: -0.0063, kb_relative_information_score: 2.5213, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1412, root_relative_squared_error: 1.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 11.5409, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0094, prior_entropy: 6.6439, recall: 0.0094, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, kappa: 0.1269, kb_relative_information_score: 213.9817, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1356, prior_entropy: 6.6439, recall: 0.1356, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1315, root_relative_squared_error: 1.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, kappa: 0.4394, kb_relative_information_score: 710.062, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.445, prior_entropy: 6.6439, recall: 0.445, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1054, root_relative_squared_error: 1.0589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.6553, 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: 0.6758, 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: 0.4959, kappa: -0.0082, kb_relative_information_score: -0.4853, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0019, prior_entropy: 6.6439, recall: 0.0019, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1413, root_relative_squared_error: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, kappa: 0.3939, kb_relative_information_score: 637.9049, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4, prior_entropy: 6.6439, recall: 0.4, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1095, root_relative_squared_error: 1.101,
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: 0.5069, kappa: 0.0139, kb_relative_information_score: 34.5911, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0238, prior_entropy: 6.6439, recall: 0.0238, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1397, root_relative_squared_error: 1.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.706, kappa: 0.7045, kb_relative_information_score: 1130.9786, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7214, predictive_accuracy: 0.7075, prior_entropy: 6.6439, recall: 0.7075, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7687,
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: 0.863, f_measure: 0.7216, kappa: 0.726, kb_relative_information_score: 1165.0528, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7338, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, kappa: 0.5991, kb_relative_information_score: 963.6142, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6031, prior_entropy: 6.6439, recall: 0.6031, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, kappa: 0.1635, kb_relative_information_score: 272.1083, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1719, prior_entropy: 6.6439, recall: 0.1719, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1287, root_relative_squared_error: 1.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.5632, kappa: 0.5732, kb_relative_information_score: 922.5247, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5925, predictive_accuracy: 0.5775, prior_entropy: 6.6439, recall: 0.5775, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, kappa: 0.0581, kb_relative_information_score: 104.7439, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0675, prior_entropy: 6.6439, recall: 0.0675, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1366, root_relative_squared_error: 1.3725,

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