OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23584 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: 0.9601, f_measure: 0.8927, kappa: 0.8444, kb_relative_information_score: 692.445, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8946, predictive_accuracy: 0.893, prior_entropy: 1.7898, recall: 0.893, relative_absolute_error: 0.2012, 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: 0.9279, 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: 0.9501, f_measure: 0.8995, kappa: 0.8546, kb_relative_information_score: 693.8514, mean_absolute_error: 0.0691, 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: 0.2009, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.5083,
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: 0.9615, 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: 0.9637, f_measure: 0.8974, kappa: 0.8511, kb_relative_information_score: 689.6899, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8986, predictive_accuracy: 0.8977, prior_entropy: 1.7898, recall: 0.8977, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.5038,
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: 0.957, 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: 0.9692, 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: 0.9613, f_measure: 0.9258, kappa: 0.8926, kb_relative_information_score: 734.9272, mean_absolute_error: 0.046, 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: 0.1336, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.452,
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: 0.9553, 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: 0.9553, 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: 0.9566, 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: 0.9553, 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: 0.9279, 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: 0.9539, f_measure: 0.8879, kappa: 0.8374, kb_relative_information_score: 676.3296, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8895, predictive_accuracy: 0.8882, prior_entropy: 1.7898, recall: 0.8882, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8947, kappa: 0.8472, kb_relative_information_score: 673.8165, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8951, predictive_accuracy: 0.8954, prior_entropy: 1.7898, recall: 0.8954, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9286, kappa: 0.8962, kb_relative_information_score: 757.9231, mean_absolute_error: 0.0349, 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: 0.1016, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4458,
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: 0.8945, 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: 0.9601, f_measure: 0.8936, kappa: 0.8455, kb_relative_information_score: 681.3082, mean_absolute_error: 0.0743, 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: 0.2159, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5156,
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: 0.9713, 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: 0.9613, f_measure: 0.9258, kappa: 0.8926, kb_relative_information_score: 734.9272, mean_absolute_error: 0.046, 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: 0.1336, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8936, kappa: 0.8457, kb_relative_information_score: 683.2843, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8942, predictive_accuracy: 0.8942, prior_entropy: 1.7898, recall: 0.8942, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.5159,
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: 0.9194, 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: 0.9017, f_measure: 0.7756, kappa: 0.6981, kb_relative_information_score: 526.6709, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7663, predictive_accuracy: 0.7967, prior_entropy: 1.7898, recall: 0.7967, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9122, kappa: 0.8722, kb_relative_information_score: 725.8832, mean_absolute_error: 0.053, 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: 0.154, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4536,
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: 0.9531, f_measure: 0.8881, kappa: 0.838, kb_relative_information_score: 655.1266, mean_absolute_error: 0.0893, 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: 0.2596, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.5359,
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: 0.9622, 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: 0.9438, f_measure: 0.8883, kappa: 0.8383, kb_relative_information_score: 664.8228, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8888, predictive_accuracy: 0.8894, prior_entropy: 1.7898, recall: 0.8894, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.5349,
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: 0.965, f_measure: 0.8809, kappa: 0.826, kb_relative_information_score: 680.0365, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.883, predictive_accuracy: 0.8799, prior_entropy: 1.7898, recall: 0.8799, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.212, root_relative_squared_error: 0.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.887, kappa: 0.8346, kb_relative_information_score: 695.4517, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8896, predictive_accuracy: 0.8859, prior_entropy: 1.7898, recall: 0.8859, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8908, kappa: 0.8399, kb_relative_information_score: 701.136, mean_absolute_error: 0.0636, 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: 0.1849, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8834, kappa: 0.831, kb_relative_information_score: 654.6362, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8843, predictive_accuracy: 0.8847, prior_entropy: 1.7898, recall: 0.8847, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5459,
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: 0.9674, 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: 0.964, f_measure: 0.8977, kappa: 0.8514, kb_relative_information_score: 693.4647, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.899, predictive_accuracy: 0.8977, prior_entropy: 1.7898, recall: 0.8977, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4977,
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: 0.9601, f_measure: 0.8936, kappa: 0.8455, kb_relative_information_score: 681.3082, mean_absolute_error: 0.0743, 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: 0.2159, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8894, kappa: 0.84, kb_relative_information_score: 664.9224, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8902, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9263, kappa: 0.8928, kb_relative_information_score: 750.8071, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9265, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.182, root_relative_squared_error: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9263, kappa: 0.8928, kb_relative_information_score: 750.8071, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9265, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.182, root_relative_squared_error: 0.439,
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: 0.9153, 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: 0.9334, f_measure: 0.8602, kappa: 0.7969, kb_relative_information_score: 633.46, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8607, predictive_accuracy: 0.8609, prior_entropy: 1.7898, recall: 0.8609, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8939, kappa: 0.846, kb_relative_information_score: 685.0392, mean_absolute_error: 0.0731, 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: 0.2125, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.7953, kappa: 0.7139, kb_relative_information_score: 549.6276, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.7918, predictive_accuracy: 0.8062, prior_entropy: 1.7898, recall: 0.8062, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.281, root_relative_squared_error: 0.6779,
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: 0.9566, 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: 0.9553, 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: 0.965, 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: 0.9622, 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: 0.9576, f_measure: 0.8927, kappa: 0.8444, kb_relative_information_score: 690.9447, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8946, predictive_accuracy: 0.893, prior_entropy: 1.7898, recall: 0.893, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.5079,
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: 0.965, 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: 0.9135, f_measure: 0.8109, kappa: 0.7295, kb_relative_information_score: 570.8107, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8084, predictive_accuracy: 0.8157, prior_entropy: 1.7898, recall: 0.8157, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.6574,
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: 0.9553, 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: 0.9675, f_measure: 0.8833, kappa: 0.8294, kb_relative_information_score: 686.2645, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8855, predictive_accuracy: 0.8823, prior_entropy: 1.7898, recall: 0.8823, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8995, kappa: 0.8545, kb_relative_information_score: 704.9993, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9004, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.5037,
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: 0.9589, f_measure: 0.8745, kappa: 0.8171, kb_relative_information_score: 664.7058, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.876, predictive_accuracy: 0.874, prior_entropy: 1.7898, recall: 0.874, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.5293,
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: 0.9334, f_measure: 0.8602, kappa: 0.7969, kb_relative_information_score: 633.46, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8607, predictive_accuracy: 0.8609, prior_entropy: 1.7898, recall: 0.8609, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8936, kappa: 0.8455, kb_relative_information_score: 681.3082, mean_absolute_error: 0.0743, 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: 0.2159, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5156,
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: 0.9627, f_measure: 0.9046, kappa: 0.8616, kb_relative_information_score: 707.5146, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9069, predictive_accuracy: 0.9049, prior_entropy: 1.7898, recall: 0.9049, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8977, kappa: 0.8514, kb_relative_information_score: 693.4647, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.899, predictive_accuracy: 0.8977, prior_entropy: 1.7898, recall: 0.8977, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4977,
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: 0.9184, 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: 0.9539, f_measure: 0.8879, kappa: 0.8374, kb_relative_information_score: 676.3296, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8895, predictive_accuracy: 0.8882, prior_entropy: 1.7898, recall: 0.8882, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.5204,
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: 0.9512, 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: 0.9615, f_measure: 0.901, kappa: 0.8564, kb_relative_information_score: 700.1893, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.903, predictive_accuracy: 0.9013, prior_entropy: 1.7898, recall: 0.9013, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4953,
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: 0.9542, 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: 0.9498, f_measure: 0.9152, kappa: 0.8771, kb_relative_information_score: 717.9983, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9163, predictive_accuracy: 0.9156, prior_entropy: 1.7898, recall: 0.9156, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8649, kappa: 0.8039, kb_relative_information_score: 640.672, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8654, predictive_accuracy: 0.8656, prior_entropy: 1.7898, recall: 0.8656, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.566,
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: 0.9589, f_measure: 0.8745, kappa: 0.8171, kb_relative_information_score: 664.7058, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.876, predictive_accuracy: 0.874, prior_entropy: 1.7898, recall: 0.874, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.5293,
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: 0.9401, 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: 0.9273, kappa: 0.8943, kb_relative_information_score: 752.6864, mean_absolute_error: 0.0384, 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: 0.1118, 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: 0.9571, 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: 0.8881, kappa: 0.838, kb_relative_information_score: 655.1266, mean_absolute_error: 0.0893, 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: 0.2596, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9286, kappa: 0.8962, kb_relative_information_score: 757.7567, mean_absolute_error: 0.0351, 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: 0.102, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4458,
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: 0.9459, f_measure: 0.8894, kappa: 0.84, kb_relative_information_score: 664.9224, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8902, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.5316,

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