OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 21035 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8928, kappa: 0.845, kb_relative_information_score: 660.9022, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8953, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8857, kappa: 0.8329, kb_relative_information_score: 689.5053, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8881, predictive_accuracy: 0.8847, prior_entropy: 1.7898, recall: 0.8847, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8917, kappa: 0.8428, kb_relative_information_score: 684.8015, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8929, predictive_accuracy: 0.8918, prior_entropy: 1.7898, recall: 0.8918, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8704, kappa: 0.8119, kb_relative_information_score: 635.7564, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8715, predictive_accuracy: 0.8716, prior_entropy: 1.7898, recall: 0.8716, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8842, kappa: 0.831, kb_relative_information_score: 686.4118, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8858, predictive_accuracy: 0.8835, prior_entropy: 1.7898, recall: 0.8835, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9258, kappa: 0.8926, kb_relative_information_score: 736.9999, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9268, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8928, kappa: 0.8449, kb_relative_information_score: 662.2771, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8943, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.894, kappa: 0.8462, kb_relative_information_score: 685.1979, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8955, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.5071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9049, kappa: 0.8618, kb_relative_information_score: 705.3609, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9067, predictive_accuracy: 0.9049, prior_entropy: 1.7898, recall: 0.9049, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8908, kappa: 0.8399, kb_relative_information_score: 701.7303, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8939, predictive_accuracy: 0.8894, prior_entropy: 1.7898, recall: 0.8894, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8775, kappa: 0.8223, kb_relative_information_score: 644.1725, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8782, predictive_accuracy: 0.8787, prior_entropy: 1.7898, recall: 0.8787, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8928, kappa: 0.8449, kb_relative_information_score: 662.2771, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8943, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9311, kappa: 0.8997, kb_relative_information_score: 758.7986, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9312, predictive_accuracy: 0.931, prior_entropy: 1.7898, recall: 0.931, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9054, kappa: 0.863, kb_relative_information_score: 698.5462, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9065, predictive_accuracy: 0.9061, prior_entropy: 1.7898, recall: 0.9061, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8708, kappa: 0.8118, kb_relative_information_score: 659.268, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8726, predictive_accuracy: 0.8704, prior_entropy: 1.7898, recall: 0.8704, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8563, kappa: 0.7909, kb_relative_information_score: 613.8103, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8573, predictive_accuracy: 0.8573, prior_entropy: 1.7898, recall: 0.8573, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8928, kappa: 0.8449, kb_relative_information_score: 662.2771, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8943, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8924, kappa: 0.8439, kb_relative_information_score: 681.5098, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8932, predictive_accuracy: 0.893, prior_entropy: 1.7898, recall: 0.893, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.216, root_relative_squared_error: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8916, kappa: 0.8426, kb_relative_information_score: 678.6655, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8932, predictive_accuracy: 0.8918, prior_entropy: 1.7898, recall: 0.8918, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9049, kappa: 0.8618, kb_relative_information_score: 705.3609, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9067, predictive_accuracy: 0.9049, prior_entropy: 1.7898, recall: 0.9049, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8822, kappa: 0.8292, kb_relative_information_score: 649.0572, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8829, predictive_accuracy: 0.8835, prior_entropy: 1.7898, recall: 0.8835, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8563, kappa: 0.7909, kb_relative_information_score: 613.8103, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8573, predictive_accuracy: 0.8573, prior_entropy: 1.7898, recall: 0.8573, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8938, kappa: 0.846, kb_relative_information_score: 682.6829, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.895, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8917, kappa: 0.8428, kb_relative_information_score: 684.8015, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8929, predictive_accuracy: 0.8918, prior_entropy: 1.7898, recall: 0.8918, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8633, kappa: 0.8015, kb_relative_information_score: 626.4472, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8646, predictive_accuracy: 0.8644, prior_entropy: 1.7898, recall: 0.8644, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9031, kappa: 0.8597, kb_relative_information_score: 697.6943, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9047, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9285, kappa: 0.8961, kb_relative_information_score: 748.463, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.77, kappa: 0.6969, kb_relative_information_score: 519.2705, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7452, predictive_accuracy: 0.7967, prior_entropy: 1.7898, recall: 0.7967, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9031, kappa: 0.8597, kb_relative_information_score: 709.2653, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9041, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9083, kappa: 0.8668, kb_relative_information_score: 714.5842, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9095, predictive_accuracy: 0.9084, prior_entropy: 1.7898, recall: 0.9084, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8633, kappa: 0.8015, kb_relative_information_score: 626.4472, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8646, predictive_accuracy: 0.8644, prior_entropy: 1.7898, recall: 0.8644, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9273, kappa: 0.8943, kb_relative_information_score: 753.0312, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9273, predictive_accuracy: 0.9275, prior_entropy: 1.7898, recall: 0.9275, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8928, kappa: 0.845, kb_relative_information_score: 660.9022, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8953, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8916, kappa: 0.8426, kb_relative_information_score: 678.6655, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8932, predictive_accuracy: 0.8918, prior_entropy: 1.7898, recall: 0.8918, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.875, kappa: 0.8189, kb_relative_information_score: 637.3363, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8777, predictive_accuracy: 0.8763, prior_entropy: 1.7898, recall: 0.8763, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8822, kappa: 0.8293, kb_relative_information_score: 651.3845, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8829, predictive_accuracy: 0.8835, prior_entropy: 1.7898, recall: 0.8835, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8928, kappa: 0.8449, kb_relative_information_score: 662.2771, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8943, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8917, kappa: 0.8428, kb_relative_information_score: 684.8015, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8929, predictive_accuracy: 0.8918, prior_entropy: 1.7898, recall: 0.8918, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8587, kappa: 0.7943, kb_relative_information_score: 616.3513, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8605, predictive_accuracy: 0.8597, prior_entropy: 1.7898, recall: 0.8597, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8908, kappa: 0.8399, kb_relative_information_score: 701.7303, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8939, predictive_accuracy: 0.8894, prior_entropy: 1.7898, recall: 0.8894, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9186, kappa: 0.882, kb_relative_information_score: 726.317, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9191, predictive_accuracy: 0.9191, prior_entropy: 1.7898, recall: 0.9191, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8822, kappa: 0.8293, kb_relative_information_score: 651.3845, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8829, predictive_accuracy: 0.8835, prior_entropy: 1.7898, recall: 0.8835, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9309, kappa: 0.8996, kb_relative_information_score: 757.9275, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9309, predictive_accuracy: 0.931, prior_entropy: 1.7898, recall: 0.931, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9011, kappa: 0.8565, kb_relative_information_score: 705.7543, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9032, predictive_accuracy: 0.9013, prior_entropy: 1.7898, recall: 0.9013, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8972, kappa: 0.8509, kb_relative_information_score: 685.9918, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8981, predictive_accuracy: 0.8977, prior_entropy: 1.7898, recall: 0.8977, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.5161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8001, kappa: 0.7218, kb_relative_information_score: 560.9952, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7942, predictive_accuracy: 0.8109, prior_entropy: 1.7898, recall: 0.8109, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.868, kappa: 0.8085, kb_relative_information_score: 631.5158, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 1.7898, recall: 0.8692, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9285, kappa: 0.896, kb_relative_information_score: 752.2002, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9284, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8928, kappa: 0.8449, kb_relative_information_score: 662.2771, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8943, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9285, kappa: 0.8961, kb_relative_information_score: 748.463, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8732, kappa: 0.816, kb_relative_information_score: 649.0235, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8737, predictive_accuracy: 0.874, prior_entropy: 1.7898, recall: 0.874, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8205, kappa: 0.7405, kb_relative_information_score: 582.0163, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8191, predictive_accuracy: 0.8228, prior_entropy: 1.7898, recall: 0.8228, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9122, kappa: 0.8722, kb_relative_information_score: 725.289, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.913, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9258, kappa: 0.8926, kb_relative_information_score: 736.9999, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9268, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8563, kappa: 0.7909, kb_relative_information_score: 613.8103, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8573, predictive_accuracy: 0.8573, prior_entropy: 1.7898, recall: 0.8573, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.793, kappa: 0.7112, kb_relative_information_score: 552.7606, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7877, predictive_accuracy: 0.8038, prior_entropy: 1.7898, recall: 0.8038, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8391, kappa: 0.7656, kb_relative_information_score: 603.0978, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8398, predictive_accuracy: 0.8395, prior_entropy: 1.7898, recall: 0.8395, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8282, kappa: 0.7482, kb_relative_information_score: 593.8671, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8406, predictive_accuracy: 0.8264, prior_entropy: 1.7898, recall: 0.8264, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9224, kappa: 0.8876, kb_relative_information_score: 732.558, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9238, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8995, kappa: 0.8546, kb_relative_information_score: 693.5044, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9006, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8908, kappa: 0.8399, kb_relative_information_score: 701.7303, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8939, predictive_accuracy: 0.8894, prior_entropy: 1.7898, recall: 0.8894, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8391, kappa: 0.7656, kb_relative_information_score: 603.0978, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8398, predictive_accuracy: 0.8395, prior_entropy: 1.7898, recall: 0.8395, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9034, kappa: 0.8599, kb_relative_information_score: 700.0837, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9052, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8972, kappa: 0.8508, kb_relative_information_score: 691.8077, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8982, predictive_accuracy: 0.8977, prior_entropy: 1.7898, recall: 0.8977, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.5074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8001, kappa: 0.7218, kb_relative_information_score: 560.9952, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7942, predictive_accuracy: 0.8109, prior_entropy: 1.7898, recall: 0.8109, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9205, kappa: 0.8843, kb_relative_information_score: 740.9262, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.921, predictive_accuracy: 0.9203, prior_entropy: 1.7898, recall: 0.9203, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8663, kappa: 0.8057, kb_relative_information_score: 644.791, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8674, predictive_accuracy: 0.8668, prior_entropy: 1.7898, recall: 0.8668, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9238, kappa: 0.8893, kb_relative_information_score: 745.2155, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 1.7898, recall: 0.9239, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8563, kappa: 0.7909, kb_relative_information_score: 613.8103, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8573, predictive_accuracy: 0.8573, prior_entropy: 1.7898, recall: 0.8573, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8886, kappa: 0.8389, kb_relative_information_score: 672.9835, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8909, predictive_accuracy: 0.8894, prior_entropy: 1.7898, recall: 0.8894, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8928, kappa: 0.8449, kb_relative_information_score: 662.2771, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8943, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8807, kappa: 0.8259, kb_relative_information_score: 678.5871, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8822, predictive_accuracy: 0.8799, prior_entropy: 1.7898, recall: 0.8799, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8493, kappa: 0.7808, kb_relative_information_score: 609.5178, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8493, predictive_accuracy: 0.8502, prior_entropy: 1.7898, recall: 0.8502, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9001, kappa: 0.8548, kb_relative_information_score: 695.6917, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9016, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.77, kappa: 0.6969, kb_relative_information_score: 519.2705, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7452, predictive_accuracy: 0.7967, prior_entropy: 1.7898, recall: 0.7967, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.7034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8704, kappa: 0.8119, kb_relative_information_score: 635.7564, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8715, predictive_accuracy: 0.8716, prior_entropy: 1.7898, recall: 0.8716, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9285, kappa: 0.8961, kb_relative_information_score: 748.463, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8822, kappa: 0.8292, kb_relative_information_score: 649.0572, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8829, predictive_accuracy: 0.8835, prior_entropy: 1.7898, recall: 0.8835, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8563, kappa: 0.7909, kb_relative_information_score: 613.8103, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8573, predictive_accuracy: 0.8573, prior_entropy: 1.7898, recall: 0.8573, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8917, kappa: 0.8428, kb_relative_information_score: 684.8015, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8929, predictive_accuracy: 0.8918, prior_entropy: 1.7898, recall: 0.8918, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8928, kappa: 0.845, kb_relative_information_score: 660.9022, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8953, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9258, kappa: 0.8926, kb_relative_information_score: 736.9999, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9268, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.868, kappa: 0.8085, kb_relative_information_score: 631.5158, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8696, predictive_accuracy: 0.8692, prior_entropy: 1.7898, recall: 0.8692, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8563, kappa: 0.7909, kb_relative_information_score: 613.8103, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8573, predictive_accuracy: 0.8573, prior_entropy: 1.7898, recall: 0.8573, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8775, kappa: 0.8223, kb_relative_information_score: 644.1725, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8782, predictive_accuracy: 0.8787, prior_entropy: 1.7898, recall: 0.8787, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9205, kappa: 0.8843, kb_relative_information_score: 740.9262, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.921, predictive_accuracy: 0.9203, prior_entropy: 1.7898, recall: 0.9203, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8917, kappa: 0.8428, kb_relative_information_score: 684.8015, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8929, predictive_accuracy: 0.8918, prior_entropy: 1.7898, recall: 0.8918, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.7676, kappa: 0.6933, kb_relative_information_score: 514.5911, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7427, predictive_accuracy: 0.7943, prior_entropy: 1.7898, recall: 0.7943, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.834, kappa: 0.7569, kb_relative_information_score: 599.9338, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8464, predictive_accuracy: 0.8323, prior_entropy: 1.7898, recall: 0.8323, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6174,

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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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs