OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 16645 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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16645 Runs

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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.7663, kappa: 0.1678, 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: 0.5597, 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: 0.521, f_measure: 0.4775, kappa: 0.0226, kb_relative_information_score: -1.1454, mean_absolute_error: 0.5674, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7043, predictive_accuracy: 0.4326, prior_entropy: 0.7087, recall: 0.4326, relative_absolute_error: 1.8178, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7533, root_relative_squared_error: 1.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.7774, kappa: 0.2118, 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: 0.5337, f_measure: 0.4851, kappa: 0.0362, kb_relative_information_score: -1.1145, mean_absolute_error: 0.5592, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7141, predictive_accuracy: 0.4408, prior_entropy: 0.7087, recall: 0.4408, relative_absolute_error: 1.7916, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7478, root_relative_squared_error: 1.8931,
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: 0.5836, 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: 0.5353, 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: 0.5298, f_measure: 0.5747, kappa: 0.0377, kb_relative_information_score: -0.7956, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7063, predictive_accuracy: 0.5251, prior_entropy: 0.7087, recall: 0.5251, relative_absolute_error: 1.5214, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6891, root_relative_squared_error: 1.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.7791, kappa: 0.219, 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: 0.5284, f_measure: 0.5567, kappa: 0.0347, kb_relative_information_score: -0.8668, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7061, predictive_accuracy: 0.5063, prior_entropy: 0.7087, recall: 0.5063, relative_absolute_error: 1.5818, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7026, root_relative_squared_error: 1.7787,
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: 0.555, f_measure: 0.763, kappa: 0.1554, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, 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: 0.5597, f_measure: 0.7083, kappa: 0.1094, kb_relative_information_score: -0.1477, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7227, predictive_accuracy: 0.6965, prior_entropy: 0.7087, recall: 0.6965, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5509, root_relative_squared_error: 1.3947,
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: 0.5108, 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: 0.5538, 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: 0.5838, 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: 0.5807, 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: 0.5802, f_measure: 0.7772, kappa: 0.213, 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: 0.5808, f_measure: 0.7786, kappa: 0.2166, 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: 0.5806, f_measure: 0.7788, kappa: 0.2167, kb_relative_information_score: 0.3129, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, 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: 0.5645, f_measure: 0.7691, kappa: 0.179, kb_relative_information_score: 0.3011, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, 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: 0.5848, f_measure: 0.7799, kappa: 0.2236, kb_relative_information_score: 0.3049, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7834, 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: 0.5784, f_measure: 0.7771, kappa: 0.2108, kb_relative_information_score: 0.3073, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, 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: 0.5801, f_measure: 0.7786, kappa: 0.2158, kb_relative_information_score: 0.3132, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7871, predictive_accuracy: 0.8184, prior_entropy: 0.7087, recall: 0.8184, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.7793, kappa: 0.2213, kb_relative_information_score: 0.3028, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8156, prior_entropy: 0.7087, recall: 0.8156, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4294, root_relative_squared_error: 1.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.4447, kappa: 0.0193, kb_relative_information_score: -1.2465, mean_absolute_error: 0.5941, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.704, predictive_accuracy: 0.4059, prior_entropy: 0.7087, recall: 0.4059, relative_absolute_error: 1.9035, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7708, root_relative_squared_error: 1.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.7594, kappa: 0.1409, kb_relative_information_score: 0.2945, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, 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: 0.5607, f_measure: 0.7665, kappa: 0.1691, kb_relative_information_score: 0.2962, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7776, predictive_accuracy: 0.8139, prior_entropy: 0.7087, recall: 0.8139, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.7782, kappa: 0.2154, 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: 0.5707, f_measure: 0.6995, kappa: 0.1209, kb_relative_information_score: -0.212, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7279, predictive_accuracy: 0.6795, prior_entropy: 0.7087, recall: 0.6795, relative_absolute_error: 1.0269, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5587, kappa: 0.0393, kb_relative_information_score: -0.8581, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7085, predictive_accuracy: 0.5086, prior_entropy: 0.7087, recall: 0.5086, relative_absolute_error: 1.5744, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.701, root_relative_squared_error: 1.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.776, kappa: 0.2077, kb_relative_information_score: 0.3014, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7811, 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: 0.5804, f_measure: 0.7784, kappa: 0.2156, kb_relative_information_score: 0.3098, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7854, 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: 0.5811, f_measure: 0.7785, kappa: 0.2167, kb_relative_information_score: 0.3084, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7847, 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: 0.5546, f_measure: 0.7628, kappa: 0.1543, kb_relative_information_score: 0.2941, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7764, 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: 0.5597, f_measure: 0.7661, kappa: 0.1672, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.775, kappa: 0.2024, kb_relative_information_score: 0.3049, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, 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: 0.5559, f_measure: 0.7638, kappa: 0.158, 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: 0.5472, 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: 0.5606, f_measure: 0.7023, kappa: 0.1077, kb_relative_information_score: -0.1852, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7227, predictive_accuracy: 0.6865, prior_entropy: 0.7087, recall: 0.6865, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.4173,
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: 0.5547, f_measure: 0.7042, kappa: 0.0996, kb_relative_information_score: -0.1665, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7197, predictive_accuracy: 0.6915, prior_entropy: 0.7087, recall: 0.6915, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.7808, kappa: 0.2269, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, 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: 0.5828, f_measure: 0.7799, kappa: 0.2215, kb_relative_information_score: 0.3132, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7872, predictive_accuracy: 0.8184, prior_entropy: 0.7087, recall: 0.8184, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0789,
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: 0.5378, 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: 0.5562, f_measure: 0.764, kappa: 0.1589, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, 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: 0.516, f_measure: 0.4906, kappa: 0.0176, kb_relative_information_score: -1.1058, mean_absolute_error: 0.5569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6998, predictive_accuracy: 0.4431, prior_entropy: 0.7087, recall: 0.4431, relative_absolute_error: 1.7843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7463, root_relative_squared_error: 1.8892,
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: 0.556, f_measure: 0.7051, kappa: 0.1021, kb_relative_information_score: -0.1627, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7205, predictive_accuracy: 0.6925, prior_entropy: 0.7087, recall: 0.6925, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5545, root_relative_squared_error: 1.4038,
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: 0.5595, 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: 0.5584, f_measure: 0.7651, kappa: 0.1636, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7772, 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: 0.5859, f_measure: 0.7812, kappa: 0.2275, kb_relative_information_score: 0.3115, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7864, 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: 0.5534, f_measure: 0.7625, kappa: 0.1525, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, 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: 0.5658, 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: 0.5362, f_measure: 0.5724, kappa: 0.0453, kb_relative_information_score: -0.8039, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7105, predictive_accuracy: 0.5229, prior_entropy: 0.7087, recall: 0.5229, relative_absolute_error: 1.5285, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6907, root_relative_squared_error: 1.7485,
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: 0.5912, f_measure: 0.7834, kappa: 0.2378, kb_relative_information_score: 0.3098, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, 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: 0.5749, f_measure: 0.7744, kappa: 0.2013, kb_relative_information_score: 0.299, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7797, predictive_accuracy: 0.8146, prior_entropy: 0.7087, recall: 0.8146, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7657, kappa: 0.1657, 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: 0.5836, f_measure: 0.7794, kappa: 0.2213, kb_relative_information_score: 0.306, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7837, 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: 0.5806, 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: 0.5834, f_measure: 0.7811, kappa: 0.2247, kb_relative_information_score: 0.3212, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7913, predictive_accuracy: 0.8205, prior_entropy: 0.7087, recall: 0.8205, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.7794, kappa: 0.22, kb_relative_information_score: 0.3101, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7856, 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: 0.5672, f_measure: 0.7036, kappa: 0.118, kb_relative_information_score: -0.1849, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7262, predictive_accuracy: 0.6866, prior_entropy: 0.7087, recall: 0.6866, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5598, root_relative_squared_error: 1.4171,
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: 0.5845, f_measure: 0.7802, kappa: 0.2238, kb_relative_information_score: 0.3084, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, 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: 0.5862, f_measure: 0.7809, kappa: 0.2271, kb_relative_information_score: 0.3077, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7847, 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: 0.5534, f_measure: 0.7617, kappa: 0.1506, kb_relative_information_score: 0.2893, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.773, predictive_accuracy: 0.812, prior_entropy: 0.7087, recall: 0.812, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4335, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.7832, kappa: 0.2349, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7892, predictive_accuracy: 0.8194, prior_entropy: 0.7087, recall: 0.8194, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.425, root_relative_squared_error: 1.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.7685, kappa: 0.1765, kb_relative_information_score: 0.3004, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7801, 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: 0.554, f_measure: 0.7625, kappa: 0.153, kb_relative_information_score: 0.2948, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7769, 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: 0.5886, f_measure: 0.7827, kappa: 0.2333, kb_relative_information_score: 0.3132, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7874, predictive_accuracy: 0.8184, prior_entropy: 0.7087, recall: 0.8184, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.7674, kappa: 0.1722, 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: 0.5194, 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: 0.5821, 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: 0.5783, f_measure: 0.7767, kappa: 0.2099, kb_relative_information_score: 0.3046, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, 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: 0.5613, f_measure: 0.7663, kappa: 0.1694, kb_relative_information_score: 0.2903, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7741, 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: 0.5813, f_measure: 0.7795, kappa: 0.219, kb_relative_information_score: 0.316, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8191, prior_entropy: 0.7087, recall: 0.8191, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.777, kappa: 0.211, kb_relative_information_score: 0.3039, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8159, prior_entropy: 0.7087, recall: 0.8159, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.0862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.7826, kappa: 0.234, kb_relative_information_score: 0.3094, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7858, predictive_accuracy: 0.8174, prior_entropy: 0.7087, recall: 0.8174, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.7621, kappa: 0.1513, kb_relative_information_score: 0.2987, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, 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: 0.5581, f_measure: 0.7656, kappa: 0.1643, kb_relative_information_score: 0.3025, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, 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: 0.5807, f_measure: 0.778, kappa: 0.2153, kb_relative_information_score: 0.3053, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7832, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0851,
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: 0.5574, f_measure: 0.7647, kappa: 0.1616, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7789, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
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: 0.5555, f_measure: 0.7628, kappa: 0.1554, kb_relative_information_score: 0.2879, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7722, predictive_accuracy: 0.8117, prior_entropy: 0.7087, recall: 0.8117, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.7815, kappa: 0.227, kb_relative_information_score: 0.3181, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7896, predictive_accuracy: 0.8197, prior_entropy: 0.7087, recall: 0.8197, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4247, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.7661, kappa: 0.1677, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, 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: 0.5653, f_measure: 0.769, kappa: 0.1794, kb_relative_information_score: 0.2948, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7769, 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: 0.5772, f_measure: 0.7467, kappa: 0.1644, kb_relative_information_score: 0.0736, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7398, predictive_accuracy: 0.755, prior_entropy: 0.7087, recall: 0.755, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.495, root_relative_squared_error: 1.2531,
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: 0.5781, f_measure: 0.7769, kappa: 0.21, 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: 0.5586, f_measure: 0.7652, kappa: 0.1641, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7772, 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