Task
Supervised Classification on texture

Supervised Classification on texture

Task 125922 Supervised Classification texture 20390 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_98 study_99
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20390 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9169, kappa: 0.9084, kb_relative_information_score: 5072.2441, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9174, predictive_accuracy: 0.9167, prior_entropy: 3.4594, recall: 0.9167, relative_absolute_error: 0.1027, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9246, kappa: 0.9172, kb_relative_information_score: 5101.0845, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9246, predictive_accuracy: 0.9247, prior_entropy: 3.4594, recall: 0.9247, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9053, kappa: 0.8958, kb_relative_information_score: 5019.6344, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9054, predictive_accuracy: 0.9053, prior_entropy: 3.4594, recall: 0.9053, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9217, kappa: 0.914, kb_relative_information_score: 5087.1633, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9218, predictive_accuracy: 0.9218, prior_entropy: 3.4594, recall: 0.9218, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9126, kappa: 0.9036, kb_relative_information_score: 5044.6052, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.913, predictive_accuracy: 0.9124, prior_entropy: 3.4594, recall: 0.9124, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9166, kappa: 0.9082, kb_relative_information_score: 5069.126, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.917, predictive_accuracy: 0.9165, prior_entropy: 3.4594, recall: 0.9165, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8956, kappa: 0.885, kb_relative_information_score: 4948.2804, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.896, predictive_accuracy: 0.8955, prior_entropy: 3.4594, recall: 0.8955, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9132, kappa: 0.9048, kb_relative_information_score: 5053.381, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.913, predictive_accuracy: 0.9135, prior_entropy: 3.4594, recall: 0.9135, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.3811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8987, kappa: 0.8886, kb_relative_information_score: 4970.3956, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8988, predictive_accuracy: 0.8987, prior_entropy: 3.4594, recall: 0.8987, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9013, kappa: 0.8914, kb_relative_information_score: 4985.5352, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9015, predictive_accuracy: 0.9013, prior_entropy: 3.4594, recall: 0.9013, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.115, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.896, kappa: 0.8854, kb_relative_information_score: 4919.695, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8965, predictive_accuracy: 0.8958, prior_entropy: 3.4594, recall: 0.8958, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.907, kappa: 0.8976, kb_relative_information_score: 5000.7773, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9073, predictive_accuracy: 0.9069, prior_entropy: 3.4594, recall: 0.9069, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8952, kappa: 0.8846, kb_relative_information_score: 4928.8391, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8956, predictive_accuracy: 0.8951, prior_entropy: 3.4594, recall: 0.8951, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8956, kappa: 0.8852, kb_relative_information_score: 4948.5312, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8959, predictive_accuracy: 0.8956, prior_entropy: 3.4594, recall: 0.8956, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9028, kappa: 0.893, kb_relative_information_score: 4984.1661, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.903, predictive_accuracy: 0.9027, prior_entropy: 3.4594, recall: 0.9027, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9109, kappa: 0.9018, kb_relative_information_score: 5046.116, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9114, predictive_accuracy: 0.9107, prior_entropy: 3.4594, recall: 0.9107, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9079, kappa: 0.8988, kb_relative_information_score: 5029.9761, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 3.4594, recall: 0.908, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9037, kappa: 0.894, kb_relative_information_score: 5000.0872, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9039, predictive_accuracy: 0.9036, prior_entropy: 3.4594, recall: 0.9036, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9026, kappa: 0.8928, kb_relative_information_score: 4983.6477, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9028, predictive_accuracy: 0.9025, prior_entropy: 3.4594, recall: 0.9025, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9076, kappa: 0.8982, kb_relative_information_score: 5012.3294, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.908, predictive_accuracy: 0.9075, prior_entropy: 3.4594, recall: 0.9075, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9246, kappa: 0.9172, kb_relative_information_score: 5091.6436, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9247, predictive_accuracy: 0.9247, prior_entropy: 3.4594, recall: 0.9247, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9296, kappa: 0.9226, kb_relative_information_score: 5118.655, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9297, predictive_accuracy: 0.9296, prior_entropy: 3.4594, recall: 0.9296, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9035, kappa: 0.8938, kb_relative_information_score: 4984.2006, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9038, predictive_accuracy: 0.9035, prior_entropy: 3.4594, recall: 0.9035, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.925, kappa: 0.9174, kb_relative_information_score: 5096.0643, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9256, predictive_accuracy: 0.9249, prior_entropy: 3.4594, recall: 0.9249, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8961, kappa: 0.8854, kb_relative_information_score: 4918.8009, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8966, predictive_accuracy: 0.8958, prior_entropy: 3.4594, recall: 0.8958, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8947, kappa: 0.884, kb_relative_information_score: 4899.2786, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8951, predictive_accuracy: 0.8945, prior_entropy: 3.4594, recall: 0.8945, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9059, kappa: 0.8966, kb_relative_information_score: 5023.6927, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 3.4594, recall: 0.906, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9234, kappa: 0.9158, kb_relative_information_score: 5102.4029, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9237, predictive_accuracy: 0.9235, prior_entropy: 3.4594, recall: 0.9235, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9095, kappa: 0.9006, kb_relative_information_score: 5030.8673, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9094, predictive_accuracy: 0.9096, prior_entropy: 3.4594, recall: 0.9096, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9201, kappa: 0.9122, kb_relative_information_score: 5078.8549, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 3.4594, recall: 0.9202, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8938, kappa: 0.883, kb_relative_information_score: 4931.2673, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 3.4594, recall: 0.8936, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9085, kappa: 0.8994, kb_relative_information_score: 5032.1778, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9086, predictive_accuracy: 0.9085, prior_entropy: 3.4594, recall: 0.9085, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9074, kappa: 0.8982, kb_relative_information_score: 5027.7256, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9075, predictive_accuracy: 0.9075, prior_entropy: 3.4594, recall: 0.9075, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9072, kappa: 0.898, kb_relative_information_score: 5026.9831, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9072, predictive_accuracy: 0.9073, prior_entropy: 3.4594, recall: 0.9073, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9061, kappa: 0.8968, kb_relative_information_score: 5023.1297, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9062, predictive_accuracy: 0.9062, prior_entropy: 3.4594, recall: 0.9062, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9077, kappa: 0.8982, kb_relative_information_score: 5011.3192, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9081, predictive_accuracy: 0.9075, prior_entropy: 3.4594, recall: 0.9075, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8944, kappa: 0.8836, kb_relative_information_score: 4904.1029, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8948, predictive_accuracy: 0.8942, prior_entropy: 3.4594, recall: 0.8942, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9025, kappa: 0.8926, kb_relative_information_score: 4996.3009, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9026, predictive_accuracy: 0.9024, prior_entropy: 3.4594, recall: 0.9024, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8969, kappa: 0.8864, kb_relative_information_score: 4913.6451, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8972, predictive_accuracy: 0.8967, prior_entropy: 3.4594, recall: 0.8967, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9086, kappa: 0.8992, kb_relative_information_score: 5015.7446, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.909, predictive_accuracy: 0.9084, prior_entropy: 3.4594, recall: 0.9084, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8948, kappa: 0.884, kb_relative_information_score: 4906.0938, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8952, predictive_accuracy: 0.8945, prior_entropy: 3.4594, recall: 0.8945, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8992, kappa: 0.8892, kb_relative_information_score: 4976.0321, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8994, predictive_accuracy: 0.8993, prior_entropy: 3.4594, recall: 0.8993, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8964, kappa: 0.886, kb_relative_information_score: 4957.6257, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8969, predictive_accuracy: 0.8964, prior_entropy: 3.4594, recall: 0.8964, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.91, kappa: 0.9012, kb_relative_information_score: 5035.5321, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9099, predictive_accuracy: 0.9102, prior_entropy: 3.4594, recall: 0.9102, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.111, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9339, kappa: 0.9272, kb_relative_information_score: 5136.7911, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9341, predictive_accuracy: 0.9338, prior_entropy: 3.4594, recall: 0.9338, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.3599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9115, kappa: 0.9028, kb_relative_information_score: 5037.6107, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9114, predictive_accuracy: 0.9116, prior_entropy: 3.4594, recall: 0.9116, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9142, kappa: 0.9054, kb_relative_information_score: 5063.829, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9148, predictive_accuracy: 0.914, prior_entropy: 3.4594, recall: 0.914, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9244, kappa: 0.917, kb_relative_information_score: 5092.6093, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9245, predictive_accuracy: 0.9245, prior_entropy: 3.4594, recall: 0.9245, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.914, kappa: 0.9054, kb_relative_information_score: 5045.3637, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9143, predictive_accuracy: 0.914, prior_entropy: 3.4594, recall: 0.914, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.916, kappa: 0.9074, kb_relative_information_score: 5064.4712, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9164, predictive_accuracy: 0.9158, prior_entropy: 3.4594, recall: 0.9158, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8978, kappa: 0.8876, kb_relative_information_score: 4966.1137, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8981, predictive_accuracy: 0.8978, prior_entropy: 3.4594, recall: 0.8978, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9127, kappa: 0.9038, kb_relative_information_score: 5031.0532, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9131, predictive_accuracy: 0.9125, prior_entropy: 3.4594, recall: 0.9125, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9001, kappa: 0.89, kb_relative_information_score: 4982.4706, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9003, predictive_accuracy: 0.9, prior_entropy: 3.4594, recall: 0.9, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9028, kappa: 0.893, kb_relative_information_score: 4979.8767, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9031, predictive_accuracy: 0.9027, prior_entropy: 3.4594, recall: 0.9027, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.3997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9264, kappa: 0.9192, kb_relative_information_score: 5106.9034, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9265, predictive_accuracy: 0.9265, prior_entropy: 3.4594, recall: 0.9265, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9111, kappa: 0.9024, kb_relative_information_score: 5037.6812, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.911, predictive_accuracy: 0.9113, prior_entropy: 3.4594, recall: 0.9113, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9047, kappa: 0.8952, kb_relative_information_score: 5020.6675, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9048, predictive_accuracy: 0.9047, prior_entropy: 3.4594, recall: 0.9047, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.3911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.913, kappa: 0.9046, kb_relative_information_score: 5055.7729, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9128, predictive_accuracy: 0.9133, prior_entropy: 3.4594, recall: 0.9133, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9296, kappa: 0.9226, kb_relative_information_score: 5122.5319, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9298, predictive_accuracy: 0.9296, prior_entropy: 3.4594, recall: 0.9296, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9154, kappa: 0.9068, kb_relative_information_score: 5060.3001, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9159, predictive_accuracy: 0.9153, prior_entropy: 3.4594, recall: 0.9153, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.932, kappa: 0.9252, kb_relative_information_score: 5123.4804, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9322, predictive_accuracy: 0.932, prior_entropy: 3.4594, recall: 0.932, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9211, kappa: 0.9134, kb_relative_information_score: 5088.0113, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9212, predictive_accuracy: 0.9213, prior_entropy: 3.4594, recall: 0.9213, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8952, kappa: 0.8846, kb_relative_information_score: 4930.3093, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8955, predictive_accuracy: 0.8951, prior_entropy: 3.4594, recall: 0.8951, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9163, kappa: 0.9078, kb_relative_information_score: 5066.8437, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9167, predictive_accuracy: 0.9162, prior_entropy: 3.4594, recall: 0.9162, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8945, kappa: 0.8838, kb_relative_information_score: 4895.8168, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8949, predictive_accuracy: 0.8944, prior_entropy: 3.4594, recall: 0.8944, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9242, kappa: 0.9168, kb_relative_information_score: 5093.7771, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9244, predictive_accuracy: 0.9244, prior_entropy: 3.4594, recall: 0.9244, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9019, kappa: 0.892, kb_relative_information_score: 4996.6053, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9021, predictive_accuracy: 0.9018, prior_entropy: 3.4594, recall: 0.9018, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9197, kappa: 0.9118, kb_relative_information_score: 5074.1719, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9197, predictive_accuracy: 0.9198, prior_entropy: 3.4594, recall: 0.9198, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9024, kappa: 0.8926, kb_relative_information_score: 4980.3644, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9026, predictive_accuracy: 0.9024, prior_entropy: 3.4594, recall: 0.9024, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.901, kappa: 0.8912, kb_relative_information_score: 4975.876, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9012, predictive_accuracy: 0.9011, prior_entropy: 3.4594, recall: 0.9011, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9365, kappa: 0.93, kb_relative_information_score: 5152.4384, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9367, predictive_accuracy: 0.9364, prior_entropy: 3.4594, recall: 0.9364, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.3557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8949, kappa: 0.8844, kb_relative_information_score: 4945.3043, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8953, predictive_accuracy: 0.8949, prior_entropy: 3.4594, recall: 0.8949, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8965, kappa: 0.886, kb_relative_information_score: 4912.3175, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8969, predictive_accuracy: 0.8964, prior_entropy: 3.4594, recall: 0.8964, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9332, kappa: 0.9264, kb_relative_information_score: 5140.2756, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9336, predictive_accuracy: 0.9331, prior_entropy: 3.4594, recall: 0.9331, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9051, kappa: 0.8956, kb_relative_information_score: 5006.8203, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9053, predictive_accuracy: 0.9051, prior_entropy: 3.4594, recall: 0.9051, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9117, kappa: 0.9026, kb_relative_information_score: 5042.9547, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9122, predictive_accuracy: 0.9115, prior_entropy: 3.4594, recall: 0.9115, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.111, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8947, kappa: 0.884, kb_relative_information_score: 4928.6331, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.895, predictive_accuracy: 0.8945, prior_entropy: 3.4594, recall: 0.8945, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.4152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9144, kappa: 0.9056, kb_relative_information_score: 5056.0864, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9149, predictive_accuracy: 0.9142, prior_entropy: 3.4594, recall: 0.9142, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9236, kappa: 0.916, kb_relative_information_score: 5096.9696, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9237, predictive_accuracy: 0.9236, prior_entropy: 3.4594, recall: 0.9236, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8953, kappa: 0.8846, kb_relative_information_score: 4910.0976, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8957, predictive_accuracy: 0.8951, prior_entropy: 3.4594, recall: 0.8951, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9007, kappa: 0.8908, kb_relative_information_score: 4979.037, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9009, predictive_accuracy: 0.9007, prior_entropy: 3.4594, recall: 0.9007, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8953, kappa: 0.8846, kb_relative_information_score: 4906.994, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8957, predictive_accuracy: 0.8951, prior_entropy: 3.4594, recall: 0.8951, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8949, kappa: 0.8842, kb_relative_information_score: 4899.4102, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8953, predictive_accuracy: 0.8947, prior_entropy: 3.4594, recall: 0.8947, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8951, kappa: 0.8844, kb_relative_information_score: 4900.0818, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8954, predictive_accuracy: 0.8949, prior_entropy: 3.4594, recall: 0.8949, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8964, kappa: 0.8858, kb_relative_information_score: 4911.4109, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8967, predictive_accuracy: 0.8962, prior_entropy: 3.4594, recall: 0.8962, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9179, kappa: 0.9094, kb_relative_information_score: 5066.1711, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9183, predictive_accuracy: 0.9176, prior_entropy: 3.4594, recall: 0.9176, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9087, kappa: 0.8994, kb_relative_information_score: 5008.718, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9089, predictive_accuracy: 0.9085, prior_entropy: 3.4594, recall: 0.9085, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9339, kappa: 0.9272, kb_relative_information_score: 5140.8229, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9341, predictive_accuracy: 0.9338, prior_entropy: 3.4594, recall: 0.9338, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9135, kappa: 0.9046, kb_relative_information_score: 5050.9622, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9139, predictive_accuracy: 0.9133, prior_entropy: 3.4594, recall: 0.9133, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9098, kappa: 0.901, kb_relative_information_score: 5037.1559, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9097, predictive_accuracy: 0.91, prior_entropy: 3.4594, recall: 0.91, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8951, kappa: 0.8844, kb_relative_information_score: 4899.9705, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8955, predictive_accuracy: 0.8949, prior_entropy: 3.4594, recall: 0.8949, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8938, kappa: 0.883, kb_relative_information_score: 4942.1699, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.8943, predictive_accuracy: 0.8936, prior_entropy: 3.4594, recall: 0.8936, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9119, kappa: 0.9034, kb_relative_information_score: 5053.8147, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9118, predictive_accuracy: 0.9122, prior_entropy: 3.4594, recall: 0.9122, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9138, kappa: 0.9052, kb_relative_information_score: 5045.8989, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9141, predictive_accuracy: 0.9138, prior_entropy: 3.4594, recall: 0.9138, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.3821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9017, kappa: 0.8918, kb_relative_information_score: 4985.1404, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9018, predictive_accuracy: 0.9016, prior_entropy: 3.4594, recall: 0.9016, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9135, kappa: 0.9046, kb_relative_information_score: 5047.6292, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9139, predictive_accuracy: 0.9133, prior_entropy: 3.4594, recall: 0.9133, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9189, kappa: 0.9108, kb_relative_information_score: 5077.0355, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9191, predictive_accuracy: 0.9189, prior_entropy: 3.4594, recall: 0.9189, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8946, kappa: 0.8838, kb_relative_information_score: 4895.4574, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.895, predictive_accuracy: 0.8944, prior_entropy: 3.4594, recall: 0.8944, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9208, kappa: 0.9126, kb_relative_information_score: 5086.193, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9213, predictive_accuracy: 0.9205, prior_entropy: 3.4594, recall: 0.9205, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9302, kappa: 0.9232, kb_relative_information_score: 5121.2061, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9303, predictive_accuracy: 0.9302, prior_entropy: 3.4594, recall: 0.9302, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.3645,

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