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: 0.4949, 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: 0.5682, kappa: 0.1364, kb_relative_information_score: 229.0145, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.145, prior_entropy: 6.6439, recall: 0.145, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1308, root_relative_squared_error: 1.3143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, kappa: 0.2184, kb_relative_information_score: 359.2982, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2263, prior_entropy: 6.6439, recall: 0.2263, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1244, root_relative_squared_error: 1.2503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7181, 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: 0.7322, 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: 0.7487, kappa: 0.4975, kb_relative_information_score: 802.2628, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5025, prior_entropy: 6.6439, recall: 0.5025, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0997, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.683, 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: 0.6994, 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: 0.7617, f_measure: 0.5343, kappa: 0.5234, kb_relative_information_score: 843.3523, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5761, predictive_accuracy: 0.5281, prior_entropy: 6.6439, recall: 0.5281, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.6194, kappa: 0.6256, kb_relative_information_score: 1005.7058, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6396, predictive_accuracy: 0.6294, prior_entropy: 6.6439, recall: 0.6294, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6042, kappa: 0.6098, kb_relative_information_score: 980.6513, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6297, predictive_accuracy: 0.6138, prior_entropy: 6.6439, recall: 0.6138, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.8833,
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: 0.7405, kappa: 0.4811, kb_relative_information_score: 776.2061, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4863, prior_entropy: 6.6439, recall: 0.4863, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1014, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, kappa: 0.4104, kb_relative_information_score: 663.9616, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4163, prior_entropy: 6.6439, recall: 0.4163, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1081, root_relative_squared_error: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, kappa: 0.0758, kb_relative_information_score: 132.805, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.085, prior_entropy: 6.6439, recall: 0.085, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1353, root_relative_squared_error: 1.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, kappa: 0.1364, kb_relative_information_score: 229.0145, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.145, prior_entropy: 6.6439, recall: 0.145, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1308, root_relative_squared_error: 1.3143,
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: 0.8595, f_measure: 0.7166, 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: 0.726, 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: 0.5735, 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: 0.8362, f_measure: 0.6702, kappa: 0.6723, kb_relative_information_score: 1079.8673, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6861, predictive_accuracy: 0.6756, prior_entropy: 6.6439, recall: 0.6756, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.8095,
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: 0.857, f_measure: 0.7092, 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: 0.7247, 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: 0.5019, 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: 0.4962, 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: 0.5003, 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: 0.583, kappa: 0.166, kb_relative_information_score: 276.117, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1744, prior_entropy: 6.6439, recall: 0.1744, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1285, root_relative_squared_error: 1.2915,
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: 0.7633, f_measure: 0.5097, 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: 0.5389, 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: 0.5448, kappa: 0.0896, kb_relative_information_score: 154.853, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0988, prior_entropy: 6.6439, recall: 0.0988, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1343, root_relative_squared_error: 1.3493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.6932, kappa: 0.6957, kb_relative_information_score: 1116.9481, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7117, predictive_accuracy: 0.6988, prior_entropy: 6.6439, recall: 0.6988, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, kappa: 0.5006, kb_relative_information_score: 807.2737, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5056, prior_entropy: 6.6439, recall: 0.5056, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9994,
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: 0.5379, kappa: 0.0758, kb_relative_information_score: 132.805, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.085, prior_entropy: 6.6439, recall: 0.085, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1353, root_relative_squared_error: 1.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, kappa: 0.1225, kb_relative_information_score: 206.9665, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1313, prior_entropy: 6.6439, recall: 0.1313, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1318, root_relative_squared_error: 1.3248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, kappa: 0.2708, kb_relative_information_score: 442.4793, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2781, prior_entropy: 6.6439, recall: 0.2781, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1202, root_relative_squared_error: 1.2076,
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: 0.7468, kappa: 0.4937, kb_relative_information_score: 796.2497, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4988, prior_entropy: 6.6439, recall: 0.4988, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1001, root_relative_squared_error: 1.0063,
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: 0.5489, kappa: 0.0979, kb_relative_information_score: 167.8813, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1069, prior_entropy: 6.6439, recall: 0.1069, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1337, root_relative_squared_error: 1.3432,
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: 0.5783, kappa: 0.1566, kb_relative_information_score: 261.0843, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.165, prior_entropy: 6.6439, recall: 0.165, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1292, root_relative_squared_error: 1.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, kappa: 0.3845, kb_relative_information_score: 622.8722, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3906, prior_entropy: 6.6439, recall: 0.3906, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1104, root_relative_squared_error: 1.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, kappa: 0.4949, kb_relative_information_score: 798.2541, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, 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: 0.8621, f_measure: 0.7182, 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: 0.7302, 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: 0.7352, f_measure: 0.4882, kappa: 0.4703, kb_relative_information_score: 759.169, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5561, predictive_accuracy: 0.4756, prior_entropy: 6.6439, recall: 0.4756, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1024, root_relative_squared_error: 1.0292,
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: 0.6042, kappa: 0.2083, kb_relative_information_score: 343.2633, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2163, prior_entropy: 6.6439, recall: 0.2163, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1252, root_relative_squared_error: 1.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.5775, kappa: 0.5808, kb_relative_information_score: 934.5509, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6039, predictive_accuracy: 0.585, prior_entropy: 6.6439, recall: 0.585, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7032, kappa: 0.7058, kb_relative_information_score: 1132.983, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7201, predictive_accuracy: 0.7088, prior_entropy: 6.6439, recall: 0.7088, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.71, kappa: 0.7146, kb_relative_information_score: 1147.0136, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7211, predictive_accuracy: 0.7175, prior_entropy: 6.6439, recall: 0.7175, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, kappa: 0.2121, kb_relative_information_score: 349.2764, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.22, prior_entropy: 6.6439, recall: 0.22, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1249, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, kappa: 0.1578, kb_relative_information_score: 263.0887, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1663, prior_entropy: 6.6439, recall: 0.1663, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1291, root_relative_squared_error: 1.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, kappa: 0.5972, kb_relative_information_score: 960.6076, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6013, prior_entropy: 6.6439, recall: 0.6013, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8975,
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: 0.5568, kappa: 0.1136, kb_relative_information_score: 192.9359, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1225, prior_entropy: 6.6439, recall: 0.1225, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1325, root_relative_squared_error: 1.3314,
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: 0.7364, 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: 0.6133, kappa: 0.2266, kb_relative_information_score: 372.3266, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2344, prior_entropy: 6.6439, recall: 0.2344, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1237, root_relative_squared_error: 1.2437,
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: 0.8627, f_measure: 0.7202, 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: 0.7329, 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: 0.8643, f_measure: 0.7261, 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: 0.7358, 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: 0.4978, 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: 0.8194, f_measure: 0.6304, 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: 0.646, 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: 0.7636, f_measure: 0.588, kappa: 0.5271, kb_relative_information_score: 849.3654, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7248, predictive_accuracy: 0.5319, prior_entropy: 6.6439, recall: 0.5319, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.9725,
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: 0.6982, kappa: 0.3965, kb_relative_information_score: 641.9136, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4025, prior_entropy: 6.6439, recall: 0.4025, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1093, root_relative_squared_error: 1.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.2889, kappa: 0.2778, kb_relative_information_score: 453.5033, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3273, predictive_accuracy: 0.285, prior_entropy: 6.6439, recall: 0.285, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1196, root_relative_squared_error: 1.2019,
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: 0.5928, 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: 0.8539, f_measure: 0.7053, 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: 0.7191, 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: 0.5537, kappa: 0.1073, kb_relative_information_score: 182.9141, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1163, prior_entropy: 6.6439, recall: 0.1163, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1329, root_relative_squared_error: 1.3362,
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: 0.7402, kappa: 0.4804, kb_relative_information_score: 775.2039, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4856, prior_entropy: 6.6439, recall: 0.4856, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1014, root_relative_squared_error: 1.0194,
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: 0.8153, f_measure: 0.6285, kappa: 0.6307, kb_relative_information_score: 1013.7233, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6481, predictive_accuracy: 0.6344, prior_entropy: 6.6439, recall: 0.6344, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.6336, 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: 0.6551, 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: 0.6547, kappa: 0.3093, kb_relative_information_score: 503.6125, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3163, prior_entropy: 6.6439, recall: 0.3163, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1169, root_relative_squared_error: 1.1753,
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: 0.5723, 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: 0.7759, f_measure: 0.5397, kappa: 0.5518, kb_relative_information_score: 888.4505, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5773, predictive_accuracy: 0.5563, prior_entropy: 6.6439, recall: 0.5563, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.9468,
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: 0.4949, 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: 0.5903, f_measure: 0.1997, kappa: 0.1806, kb_relative_information_score: 299.1672, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2661, 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: 0.8554, f_measure: 0.7086, 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: 0.7255, 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: 0.6812, kappa: 0.3624, kb_relative_information_score: 587.7958, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3688, prior_entropy: 6.6439, recall: 0.3688, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1124, root_relative_squared_error: 1.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.6973, kappa: 0.7001, kb_relative_information_score: 1123.9634, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7115, predictive_accuracy: 0.7031, prior_entropy: 6.6439, recall: 0.7031, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, kappa: 0.4009, kb_relative_information_score: 648.9289, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4069, prior_entropy: 6.6439, recall: 0.4069, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1089, root_relative_squared_error: 1.0946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, kappa: 0.0713, kb_relative_information_score: 125.7897, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0806, prior_entropy: 6.6439, recall: 0.0806, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1356, root_relative_squared_error: 1.3628,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, kappa: 0.185, kb_relative_information_score: 306.1825, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1931, prior_entropy: 6.6439, recall: 0.1931, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.127, root_relative_squared_error: 1.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7112, kappa: 0.7153, kb_relative_information_score: 1148.0157, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7227, predictive_accuracy: 0.7181, prior_entropy: 6.6439, recall: 0.7181, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.6077, kappa: 0.6149, kb_relative_information_score: 988.6687, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6288, predictive_accuracy: 0.6188, prior_entropy: 6.6439, recall: 0.6188, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.8776,
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: 0.7033, 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: 0.5808, f_measure: 0.1824, kappa: 0.1616, kb_relative_information_score: 269.1018, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2717, predictive_accuracy: 0.17, prior_entropy: 6.6439, recall: 0.17, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1288, root_relative_squared_error: 1.2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6262, kappa: 0.6181, kb_relative_information_score: 993.6796, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6593, predictive_accuracy: 0.6219, prior_entropy: 6.6439, recall: 0.6219, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.6555, 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: 0.6739, 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: 0.7074, kappa: 0.4148, kb_relative_information_score: 670.9769, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4206, prior_entropy: 6.6439, recall: 0.4206, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1076, root_relative_squared_error: 1.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7255, kappa: 0.7298, kb_relative_information_score: 1171.0659, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7389, predictive_accuracy: 0.7325, prior_entropy: 6.6439, recall: 0.7325, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7351,
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: 0.7592, f_measure: 0.579, 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: 0.7096, 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: 0.8548, f_measure: 0.7069, 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: 0.8576, f_measure: 0.7109, kappa: 0.7153, kb_relative_information_score: 1148.0157, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7274, predictive_accuracy: 0.7181, prior_entropy: 6.6439, recall: 0.7181, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.7546,

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