Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 16045 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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16045 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.7635, kappa: 0.1576, kb_relative_information_score: 0.2917, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7747, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, f_measure: 0.7635, kappa: 0.1568, kb_relative_information_score: 0.2969, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7783, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.7797, kappa: 0.222, kb_relative_information_score: 0.3084, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8171, prior_entropy: 0.7087, recall: 0.8171, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.7623, kappa: 0.152, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7791, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.7663, kappa: 0.1682, kb_relative_information_score: 0.2969, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.778, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.7765, kappa: 0.2085, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7837, predictive_accuracy: 0.8166, prior_entropy: 0.7087, recall: 0.8166, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.7788, kappa: 0.2183, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8166, prior_entropy: 0.7087, recall: 0.8166, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.5662, kappa: 0.0449, kb_relative_information_score: -0.8282, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7109, predictive_accuracy: 0.5165, prior_entropy: 0.7087, recall: 0.5165, relative_absolute_error: 1.5491, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6953, root_relative_squared_error: 1.7603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, f_measure: 0.7363, kappa: 0.1098, kb_relative_information_score: 0.068, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7237, predictive_accuracy: 0.7535, prior_entropy: 0.7087, recall: 0.7535, relative_absolute_error: 0.7897, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.7761, kappa: 0.2064, kb_relative_information_score: 0.3091, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8173, prior_entropy: 0.7087, recall: 0.8173, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.7784, kappa: 0.2165, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8166, prior_entropy: 0.7087, recall: 0.8166, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.7593, kappa: 0.1411, kb_relative_information_score: 0.2917, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.775, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.7635, kappa: 0.1578, kb_relative_information_score: 0.2914, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7745, predictive_accuracy: 0.8126, prior_entropy: 0.7087, recall: 0.8126, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4329, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.7598, kappa: 0.1428, kb_relative_information_score: 0.2917, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7749, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.6316, kappa: 0.0604, kb_relative_information_score: -0.5475, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7119, predictive_accuracy: 0.5907, prior_entropy: 0.7087, recall: 0.5907, relative_absolute_error: 1.3113, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.7409, kappa: 0.1167, kb_relative_information_score: 0.101, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.727, predictive_accuracy: 0.7622, prior_entropy: 0.7087, recall: 0.7622, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.7819, kappa: 0.2309, kb_relative_information_score: 0.3098, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7858, predictive_accuracy: 0.8175, prior_entropy: 0.7087, recall: 0.8175, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.7677, kappa: 0.1736, kb_relative_information_score: 0.2983, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7789, predictive_accuracy: 0.8144, prior_entropy: 0.7087, recall: 0.8144, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.6858, kappa: 0.1038, kb_relative_information_score: -0.2822, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7232, predictive_accuracy: 0.6609, prior_entropy: 0.7087, recall: 0.6609, relative_absolute_error: 1.0864, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.7673, kappa: 0.1715, kb_relative_information_score: 0.2997, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7798, predictive_accuracy: 0.8148, prior_entropy: 0.7087, recall: 0.8148, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4304, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7777, kappa: 0.2141, kb_relative_information_score: 0.3046, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7828, predictive_accuracy: 0.8161, prior_entropy: 0.7087, recall: 0.8161, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.7802, kappa: 0.2242, kb_relative_information_score: 0.3077, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.8169, prior_entropy: 0.7087, recall: 0.8169, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.7757, kappa: 0.2048, kb_relative_information_score: 0.3077, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7842, predictive_accuracy: 0.8169, prior_entropy: 0.7087, recall: 0.8169, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.7062, kappa: 0.113, kb_relative_information_score: -0.1647, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7242, predictive_accuracy: 0.692, prior_entropy: 0.7087, recall: 0.692, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.555, root_relative_squared_error: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.7624, kappa: 0.1534, kb_relative_information_score: 0.2903, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7738, predictive_accuracy: 0.8123, prior_entropy: 0.7087, recall: 0.8123, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4332, root_relative_squared_error: 1.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.7645, kappa: 0.1611, kb_relative_information_score: 0.2948, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7767, predictive_accuracy: 0.8135, prior_entropy: 0.7087, recall: 0.8135, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.0932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.7645, kappa: 0.1613, kb_relative_information_score: 0.2945, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8134, prior_entropy: 0.7087, recall: 0.8134, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.432, root_relative_squared_error: 1.0935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.4443, kappa: -0.0231, kb_relative_information_score: -1.2729, mean_absolute_error: 0.6011, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6706, predictive_accuracy: 0.3989, prior_entropy: 0.7087, recall: 0.3989, relative_absolute_error: 1.9259, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7753, root_relative_squared_error: 1.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.7637, kappa: 0.1582, kb_relative_information_score: 0.2941, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7763, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.0938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.7694, kappa: 0.1798, kb_relative_information_score: 0.3025, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8155, prior_entropy: 0.7087, recall: 0.8155, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.0873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.7618, kappa: 0.151, kb_relative_information_score: 0.2907, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.774, predictive_accuracy: 0.8124, prior_entropy: 0.7087, recall: 0.8124, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4331, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.7776, kappa: 0.2129, kb_relative_information_score: 0.3084, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.8171, prior_entropy: 0.7087, recall: 0.8171, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.7687, kappa: 0.1769, kb_relative_information_score: 0.3018, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.781, predictive_accuracy: 0.8153, prior_entropy: 0.7087, recall: 0.8153, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4297, root_relative_squared_error: 1.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.6651, kappa: 0.0815, kb_relative_information_score: -0.385, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.717, predictive_accuracy: 0.6337, prior_entropy: 0.7087, recall: 0.6337, relative_absolute_error: 1.1735, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6052, root_relative_squared_error: 1.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.7769, kappa: 0.2105, kb_relative_information_score: 0.3056, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7832, predictive_accuracy: 0.8164, prior_entropy: 0.7087, recall: 0.8164, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, f_measure: 0.6363, kappa: 0.073, kb_relative_information_score: -0.5277, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7169, predictive_accuracy: 0.596, prior_entropy: 0.7087, recall: 0.596, relative_absolute_error: 1.2945, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.764, kappa: 0.159, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.7647, kappa: 0.1612, kb_relative_information_score: 0.2987, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.782, kappa: 0.2295, kb_relative_information_score: 0.3167, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8193, prior_entropy: 0.7087, recall: 0.8193, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4251, root_relative_squared_error: 1.0761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.7796, kappa: 0.2215, kb_relative_information_score: 0.307, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7842, predictive_accuracy: 0.8167, prior_entropy: 0.7087, recall: 0.8167, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4281, root_relative_squared_error: 1.0838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.7632, kappa: 0.1551, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7803, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.7652, kappa: 0.1639, kb_relative_information_score: 0.2945, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8134, prior_entropy: 0.7087, recall: 0.8134, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.432, root_relative_squared_error: 1.0935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.7633, kappa: 0.1567, kb_relative_information_score: 0.2924, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7751, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.0951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.7655, kappa: 0.1656, kb_relative_information_score: 0.2924, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7752, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.0951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.5944, kappa: 0.0611, kb_relative_information_score: -0.7136, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7165, predictive_accuracy: 0.5468, prior_entropy: 0.7087, recall: 0.5468, relative_absolute_error: 1.452, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6732, root_relative_squared_error: 1.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.7623, kappa: 0.1524, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7762, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.7657, kappa: 0.1657, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7771, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.7656, kappa: 0.166, kb_relative_information_score: 0.2924, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7752, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.0951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.7659, kappa: 0.166, kb_relative_information_score: 0.3004, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, predictive_accuracy: 0.815, prior_entropy: 0.7087, recall: 0.815, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.6651, kappa: 0.0815, kb_relative_information_score: -0.385, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.717, predictive_accuracy: 0.6337, prior_entropy: 0.7087, recall: 0.6337, relative_absolute_error: 1.1735, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6052, root_relative_squared_error: 1.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.7819, kappa: 0.2302, kb_relative_information_score: 0.3129, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7871, predictive_accuracy: 0.8183, prior_entropy: 0.7087, recall: 0.8183, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.779, kappa: 0.2172, kb_relative_information_score: 0.3143, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8186, prior_entropy: 0.7087, recall: 0.8186, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.7654, kappa: 0.1642, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7798, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.257, kappa: -0.0104, kb_relative_information_score: -1.7307, mean_absolute_error: 0.7222, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.667, predictive_accuracy: 0.2778, prior_entropy: 0.7087, recall: 0.2778, relative_absolute_error: 2.3138, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.8498, root_relative_squared_error: 2.1513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.7788, kappa: 0.219, kb_relative_information_score: 0.3046, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8161, prior_entropy: 0.7087, recall: 0.8161, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7774, kappa: 0.2139, kb_relative_information_score: 0.2997, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7807, predictive_accuracy: 0.8148, prior_entropy: 0.7087, recall: 0.8148, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4304, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.7802, kappa: 0.2231, kb_relative_information_score: 0.3115, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7863, predictive_accuracy: 0.8179, prior_entropy: 0.7087, recall: 0.8179, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.7815, kappa: 0.2303, kb_relative_information_score: 0.3063, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8165, prior_entropy: 0.7087, recall: 0.8165, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5596, kappa: 0.046, kb_relative_information_score: -0.8536, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7122, predictive_accuracy: 0.5098, prior_entropy: 0.7087, recall: 0.5098, relative_absolute_error: 1.5706, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.78, kappa: 0.2232, kb_relative_information_score: 0.3073, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7844, predictive_accuracy: 0.8168, prior_entropy: 0.7087, recall: 0.8168, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.428, root_relative_squared_error: 1.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.6144, kappa: 0.0446, kb_relative_information_score: -0.625, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7065, predictive_accuracy: 0.5702, prior_entropy: 0.7087, recall: 0.5702, relative_absolute_error: 1.3769, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6556, root_relative_squared_error: 1.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.7615, kappa: 0.1493, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7763, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.7649, kappa: 0.1629, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7758, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.7675, kappa: 0.1726, kb_relative_information_score: 0.2987, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7791, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.5172, kappa: 0.0398, kb_relative_information_score: -1.0078, mean_absolute_error: 0.531, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.713, predictive_accuracy: 0.469, prior_entropy: 0.7087, recall: 0.469, relative_absolute_error: 1.7013, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7287, root_relative_squared_error: 1.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.695, kappa: 0.1119, kb_relative_information_score: -0.2328, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.725, predictive_accuracy: 0.674, prior_entropy: 0.7087, recall: 0.674, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.571, root_relative_squared_error: 1.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.5033, kappa: 0.0217, kb_relative_information_score: -1.062, mean_absolute_error: 0.5453, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7019, predictive_accuracy: 0.4547, prior_entropy: 0.7087, recall: 0.4547, relative_absolute_error: 1.7472, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7385, root_relative_squared_error: 1.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7782, kappa: 0.2157, kb_relative_information_score: 0.3073, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7842, predictive_accuracy: 0.8168, prior_entropy: 0.7087, recall: 0.8168, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.428, root_relative_squared_error: 1.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.6614, kappa: 0.0829, kb_relative_information_score: -0.4051, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.718, predictive_accuracy: 0.6284, prior_entropy: 0.7087, recall: 0.6284, relative_absolute_error: 1.1906, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.6139, kappa: 0.065, kb_relative_information_score: -0.6299, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.716, predictive_accuracy: 0.5689, prior_entropy: 0.7087, recall: 0.5689, relative_absolute_error: 1.381, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6565, root_relative_squared_error: 1.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.7769, kappa: 0.2105, kb_relative_information_score: 0.3056, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7832, predictive_accuracy: 0.8164, prior_entropy: 0.7087, recall: 0.8164, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.7784, kappa: 0.2181, kb_relative_information_score: 0.3011, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7815, predictive_accuracy: 0.8152, prior_entropy: 0.7087, recall: 0.8152, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, f_measure: 0.6363, kappa: 0.073, kb_relative_information_score: -0.5277, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7169, predictive_accuracy: 0.596, prior_entropy: 0.7087, recall: 0.596, relative_absolute_error: 1.2945, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.7816, kappa: 0.2289, kb_relative_information_score: 0.3126, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8182, prior_entropy: 0.7087, recall: 0.8182, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.7783, kappa: 0.2163, kb_relative_information_score: 0.307, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.784, predictive_accuracy: 0.8167, prior_entropy: 0.7087, recall: 0.8167, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4281, root_relative_squared_error: 1.0838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.764, kappa: 0.1592, kb_relative_information_score: 0.2952, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.777, predictive_accuracy: 0.8136, prior_entropy: 0.7087, recall: 0.8136, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.7781, kappa: 0.2143, kb_relative_information_score: 0.3101, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7855, predictive_accuracy: 0.8175, prior_entropy: 0.7087, recall: 0.8175, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.7659, kappa: 0.166, kb_relative_information_score: 0.3004, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, predictive_accuracy: 0.815, prior_entropy: 0.7087, recall: 0.815, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.782, kappa: 0.2295, kb_relative_information_score: 0.3167, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8193, prior_entropy: 0.7087, recall: 0.8193, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4251, root_relative_squared_error: 1.0761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.764, kappa: 0.159, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.7647, kappa: 0.1612, kb_relative_information_score: 0.2987, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.4209, kappa: 0.0109, kb_relative_information_score: -1.3198, mean_absolute_error: 0.6135, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6978, predictive_accuracy: 0.3865, prior_entropy: 0.7087, recall: 0.3865, relative_absolute_error: 1.9656, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7833, root_relative_squared_error: 1.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.7786, kappa: 0.2181, kb_relative_information_score: 0.3049, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7831, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.7277, kappa: 0.1434, kb_relative_information_score: -0.047, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7328, predictive_accuracy: 0.7231, prior_entropy: 0.7087, recall: 0.7231, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.7793, kappa: 0.2198, kb_relative_information_score: 0.3091, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8173, prior_entropy: 0.7087, recall: 0.8173, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7697, kappa: 0.1818, kb_relative_information_score: 0.2969, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7781, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.7777, kappa: 0.2138, kb_relative_information_score: 0.306, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7835, predictive_accuracy: 0.8164, prior_entropy: 0.7087, recall: 0.8164, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.7786, kappa: 0.2176, kb_relative_information_score: 0.306, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7836, predictive_accuracy: 0.8164, prior_entropy: 0.7087, recall: 0.8164, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.7667, kappa: 0.1692, kb_relative_information_score: 0.3, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7801, predictive_accuracy: 0.8149, prior_entropy: 0.7087, recall: 0.8149, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4303, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.7671, kappa: 0.1704, kb_relative_information_score: 0.3014, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.781, predictive_accuracy: 0.8153, prior_entropy: 0.7087, recall: 0.8153, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.7661, kappa: 0.1674, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7771, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.7773, kappa: 0.2134, kb_relative_information_score: 0.3007, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7811, predictive_accuracy: 0.8151, prior_entropy: 0.7087, recall: 0.8151, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.43, root_relative_squared_error: 1.0886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.5589, kappa: 0.0379, kb_relative_information_score: -0.8577, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7077, predictive_accuracy: 0.5087, prior_entropy: 0.7087, recall: 0.5087, relative_absolute_error: 1.5741, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7009, root_relative_squared_error: 1.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.7486, kappa: 0.166, kb_relative_information_score: 0.0875, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7406, predictive_accuracy: 0.7587, prior_entropy: 0.7087, recall: 0.7587, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4913, root_relative_squared_error: 1.2436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.7669, kappa: 0.1712, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7759, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.7788, kappa: 0.219, kb_relative_information_score: 0.3046, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8161, prior_entropy: 0.7087, recall: 0.8161, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.7632, kappa: 0.1551, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7803, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.761, kappa: 0.1476, kb_relative_information_score: 0.2931, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7758, predictive_accuracy: 0.813, prior_entropy: 0.7087, recall: 0.813, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4324, root_relative_squared_error: 1.0946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.7652, kappa: 0.1639, kb_relative_information_score: 0.2945, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8134, prior_entropy: 0.7087, recall: 0.8134, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.432, root_relative_squared_error: 1.0935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.7657, kappa: 0.1657, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7771, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,

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

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

OpenML APIs