Task
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14968 Supervised Classification cylinder-bands 12489 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -3.5744, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 1.9511, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.8396, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.0197, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 7.1491, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -8.538, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -3.4283, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.3309, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.7911, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0209, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -1.4182, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -5.0352, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.4164, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7572, kappa: 0.4994, kb_relative_information_score: 179.469, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7609, predictive_accuracy: 0.7611, prior_entropy: 0.9826, recall: 0.7611, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.1268, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, f_measure: 0.5148, kappa: 0.0526, kb_relative_information_score: -2.7006, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5403, predictive_accuracy: 0.5148, prior_entropy: 0.9826, recall: 0.5148, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.2684, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0202, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6507, kappa: 0.2883, kb_relative_information_score: 88.4895, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6768, predictive_accuracy: 0.6722, prior_entropy: 0.9826, recall: 0.6722, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.6134, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -10.7079, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7045, kappa: 0.3926, kb_relative_information_score: 165.396, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.704, predictive_accuracy: 0.7056, prior_entropy: 0.9826, recall: 0.7056, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.5039, kappa: 0.0033, kb_relative_information_score: 34.5793, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5142, predictive_accuracy: 0.5481, prior_entropy: 0.9826, recall: 0.5481, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6722, root_relative_squared_error: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 9.0736, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.715, kappa: 0.4126, kb_relative_information_score: 85.5658, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7221, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6632, kappa: 0.3076, kb_relative_information_score: 74.4635, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6742, predictive_accuracy: 0.6759, prior_entropy: 0.9826, recall: 0.6759, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.2466, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1789, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.6821, kappa: 0.3449, kb_relative_information_score: 114.1513, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6886, predictive_accuracy: 0.6907, prior_entropy: 0.9826, recall: 0.6907, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.606, kappa: 0.2101, kb_relative_information_score: 74.8459, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6494, predictive_accuracy: 0.6426, prior_entropy: 0.9826, recall: 0.6426, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -1.6837, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7171, kappa: 0.4183, kb_relative_information_score: 211.6555, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7168, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -7.7587, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6836, kappa: 0.3521, kb_relative_information_score: 62.9067, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6839, predictive_accuracy: 0.6833, prior_entropy: 0.9826, recall: 0.6833, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.9701, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 6.9583, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -38.7808, mean_absolute_error: 0.5122, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0498, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 4.1197, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -9.5375, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2893, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, kb_relative_information_score: 4.3748, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.5537, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7736, kappa: 0.5353, kb_relative_information_score: 213.339, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7734, predictive_accuracy: 0.7741, prior_entropy: 0.9826, recall: 0.7741, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6128, kappa: 0.232, kb_relative_information_score: 27.1114, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6318, predictive_accuracy: 0.6111, prior_entropy: 0.9826, recall: 0.6111, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.6518, kappa: 0.2865, kb_relative_information_score: 87.1869, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6681, predictive_accuracy: 0.6685, prior_entropy: 0.9826, recall: 0.6685, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.1931, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0214, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6564, kappa: 0.2924, kb_relative_information_score: 38.2528, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6558, predictive_accuracy: 0.6593, prior_entropy: 0.9826, recall: 0.6593, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, f_measure: 0.5244, kappa: 0.0464, kb_relative_information_score: -6.7175, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5424, predictive_accuracy: 0.5685, prior_entropy: 0.9826, recall: 0.5685, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 2.9389, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6086, kappa: 0.2147, kb_relative_information_score: 48.0738, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6516, predictive_accuracy: 0.6444, prior_entropy: 0.9826, recall: 0.6444, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 4.0443, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7535, kappa: 0.4924, kb_relative_information_score: 191.6425, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7541, predictive_accuracy: 0.7556, prior_entropy: 0.9826, recall: 0.7556, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.7876, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.6962, kappa: 0.3765, kb_relative_information_score: 43.8642, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7137, predictive_accuracy: 0.7093, prior_entropy: 0.9826, recall: 0.7093, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -5.1261, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.703, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5283, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -36.9789, mean_absolute_error: 0.5109, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5697, kb_relative_information_score: 34.1408, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 9.9156, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.5853, kappa: 0.1757, kb_relative_information_score: 71.573, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6354, predictive_accuracy: 0.6296, prior_entropy: 0.9826, recall: 0.6296, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 8.1443, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.4023, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7406, kappa: 0.4658, kb_relative_information_score: 225.8455, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7409, predictive_accuracy: 0.7426, prior_entropy: 0.9826, recall: 0.7426, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.6188, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.6048, kappa: 0.1867, kb_relative_information_score: 37.9885, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6036, predictive_accuracy: 0.6074, prior_entropy: 0.9826, recall: 0.6074, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -11.0146, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.9056, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.5778, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7187, kappa: 0.4211, kb_relative_information_score: 200.6925, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7184, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.5326, kappa: 0.0448, kb_relative_information_score: 15.9393, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.534, predictive_accuracy: 0.5315, prior_entropy: 0.9826, recall: 0.5315, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6845, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.6497, kappa: 0.2778, kb_relative_information_score: 62.8965, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6524, predictive_accuracy: 0.6574, prior_entropy: 0.9826, recall: 0.6574, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -106.2559, mean_absolute_error: 0.5778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.1841, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7601, root_relative_squared_error: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.2032, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -106.2559, mean_absolute_error: 0.5778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.1841, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7601, root_relative_squared_error: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 0.9668, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.2037, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 4.8608, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.3379, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.3046, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0241, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -106.2559, mean_absolute_error: 0.5778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.1841, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7601, root_relative_squared_error: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.718, kappa: 0.421, kb_relative_information_score: 149.6267, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7176, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.7001, kappa: 0.3818, kb_relative_information_score: 200.7243, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7009, predictive_accuracy: 0.7037, prior_entropy: 0.9826, recall: 0.7037, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6608, kappa: 0.3098, kb_relative_information_score: 92.169, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6641, predictive_accuracy: 0.6593, prior_entropy: 0.9826, recall: 0.6593, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.1574, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.5508, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7213, kappa: 0.4273, kb_relative_information_score: 207.7306, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7209, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -3.255, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.574, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -1.3996, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -1.6787, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: 3.7393, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -3.7828, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -47.9578, mean_absolute_error: 0.5192, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.4222, prior_entropy: 0.9826, recall: 0.4222, relative_absolute_error: 1.064, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.6544, kappa: 0.2882, kb_relative_information_score: 84.6838, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6607, predictive_accuracy: 0.6648, prior_entropy: 0.9826, recall: 0.6648, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.5839, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -6.2568, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -0.5687, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.739, kappa: 0.4619, kb_relative_information_score: 150.1888, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7412, predictive_accuracy: 0.7426, prior_entropy: 0.9826, recall: 0.7426, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, kb_relative_information_score: -8.2803, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0019,

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