Task
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: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 837.524, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 828.0261, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 827.2323, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.4482, kappa: 0.3346, kb_relative_information_score: 190.1292, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.5053, predictive_accuracy: 0.5434, prior_entropy: 1.7898, recall: 0.5434, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.2064, kb_relative_information_score: 0.4529, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.1421, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 830.1072, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 826.6935, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.1837,
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: 0.9355, 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: 0.9531, 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: 0.9443, 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: 0.9279, 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: 0.9436, 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: 0.9438, 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: 0.9553, 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: 0.9315, 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: 0.9196, 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: 0.9615, f_measure: 0.9227, kappa: 0.8876, kb_relative_information_score: 739.5839, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.923, predictive_accuracy: 0.9227, prior_entropy: 1.7898, recall: 0.9227, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4562,
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: 0.9541, 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: 0.9401, 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: 0.9539, 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: 0.9703, f_measure: 0.912, kappa: 0.8722, kb_relative_information_score: 720.0265, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9139, predictive_accuracy: 0.912, prior_entropy: 1.7898, recall: 0.912, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4633,
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: 0.9571, 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: 0.9564, f_measure: 0.9297, kappa: 0.8978, kb_relative_information_score: 748.1577, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 1.7898, recall: 0.9298, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4452,
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: 0.9279, 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: 0.8955, 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: 0.9566, 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: 0.957, 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: 0.9438, 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: 0.9507, 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: 0.9135, 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: 0.9516, 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: 0.9544, f_measure: 0.8721, kappa: 0.8145, kb_relative_information_score: 645.627, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8747, predictive_accuracy: 0.8728, prior_entropy: 1.7898, recall: 0.8728, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5477,
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: 0.9187, f_measure: 0.8344, kappa: 0.7586, kb_relative_information_score: 596.8146, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8353, predictive_accuracy: 0.8347, prior_entropy: 1.7898, recall: 0.8347, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.6276,
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: 0.9553, 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: 0.9464, f_measure: 0.8686, kappa: 0.8092, kb_relative_information_score: 647.8171, mean_absolute_error: 0.0922, 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: 0.2682, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5534,
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: 0.9523, f_measure: 0.8959, kappa: 0.8493, kb_relative_information_score: 693.4513, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8967, predictive_accuracy: 0.8966, prior_entropy: 1.7898, recall: 0.8966, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.5144,
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: 0.9274, f_measure: 0.8587, kappa: 0.7944, kb_relative_information_score: 619.4754, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 1.7898, recall: 0.8597, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.6016,
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: 0.9519, f_measure: 0.8732, kappa: 0.8161, kb_relative_information_score: 647.6487, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8746, predictive_accuracy: 0.874, prior_entropy: 1.7898, recall: 0.874, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.5437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8795, kappa: 0.8241, kb_relative_information_score: 677.3071, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8809, predictive_accuracy: 0.8787, prior_entropy: 1.7898, recall: 0.8787, relative_absolute_error: 0.2216, 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: 0.9498, 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: 0.9622, 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: 0.9279, 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: 0.9651, f_measure: 0.9085, kappa: 0.8669, kb_relative_information_score: 719.6047, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.909, predictive_accuracy: 0.9084, prior_entropy: 1.7898, recall: 0.9084, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4646,
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: 0.9541, 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: 0.9635, 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: 0.9255, 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: 0.9436, 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: 0.9515, 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: 0.9274, f_measure: 0.8587, kappa: 0.7944, kb_relative_information_score: 619.4754, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 1.7898, recall: 0.8597, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8587, kappa: 0.7944, kb_relative_information_score: 619.4754, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 1.7898, recall: 0.8597, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.6016,
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: 0.9556, 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: 0.9713, 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: 0.9571, 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: 0.9692, 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: 0.957, 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: 0.9191, 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: 0.9553, 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: 0.9545, f_measure: 0.9055, kappa: 0.8631, kb_relative_information_score: 700.7625, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9068, predictive_accuracy: 0.9061, prior_entropy: 1.7898, recall: 0.9061, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5,
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: 0.9238, f_measure: 0.8563, kappa: 0.7909, kb_relative_information_score: 615.6414, mean_absolute_error: 0.1103, 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: 0.3208, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.6065,
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: 0.9696, 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: 0.9704, f_measure: 0.9205, kappa: 0.8843, kb_relative_information_score: 741.5205, mean_absolute_error: 0.0456, 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: 0.1326, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.4331,
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: 0.9184, 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: 0.9279, 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: 0.954, f_measure: 0.8897, kappa: 0.8403, kb_relative_information_score: 672.8418, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8912, predictive_accuracy: 0.8906, prior_entropy: 1.7898, recall: 0.8906, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.5244,
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: 0.9622, 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: 0.9196, 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: 0.9345, f_measure: 0.8649, kappa: 0.8038, kb_relative_information_score: 638.3447, mean_absolute_error: 0.0982, 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: 0.2856, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5705,
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: 0.9632, f_measure: 0.9082, kappa: 0.8668, kb_relative_information_score: 712.5209, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9105, predictive_accuracy: 0.9084, prior_entropy: 1.7898, recall: 0.9084, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4729,
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: 0.9576, f_measure: 0.8974, kappa: 0.8511, kb_relative_information_score: 700.5263, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8977, predictive_accuracy: 0.8977, prior_entropy: 1.7898, recall: 0.8977, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.511,
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: 0.9344, 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: 0.9617, 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: 0.8945, 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: 0.9553, 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: 0.9556, 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,

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