OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19089 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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19089 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7879, kappa: 0.2543, kb_relative_information_score: 855.8788, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7916, predictive_accuracy: 0.8206, prior_entropy: 0.7088, recall: 0.8206, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7689, kappa: 0.1779, kb_relative_information_score: 621.3918, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7812, predictive_accuracy: 0.8154, prior_entropy: 0.7088, recall: 0.8154, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7833, kappa: 0.2528, kb_relative_information_score: 641.974, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7763, predictive_accuracy: 0.8058, prior_entropy: 0.7088, recall: 0.8058, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7631, kappa: 0.1549, kb_relative_information_score: 572.7363, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8146, prior_entropy: 0.7088, recall: 0.8146, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7712, kappa: 0.1851, kb_relative_information_score: 720.8602, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8185, prior_entropy: 0.7088, recall: 0.8185, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5099, f_measure: 0.7292, kappa: 0.0313, kb_relative_information_score: 3027.2821, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.792, predictive_accuracy: 0.8091, prior_entropy: 0.7088, recall: 0.8091, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4369, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.747, kappa: 0.1458, kb_relative_information_score: 1152.1401, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7355, predictive_accuracy: 0.7635, prior_entropy: 0.7088, recall: 0.7635, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.7571, kappa: 0.1716, kb_relative_information_score: 1719.2194, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7454, predictive_accuracy: 0.7773, prior_entropy: 0.7088, recall: 0.7773, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.775, kappa: 0.2041, kb_relative_information_score: 670.4707, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7791, predictive_accuracy: 0.8141, prior_entropy: 0.7088, recall: 0.8141, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7774, kappa: 0.2114, kb_relative_information_score: 764.8525, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7853, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.73, kappa: 0.0341, kb_relative_information_score: 3038.6237, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7934, predictive_accuracy: 0.8094, prior_entropy: 0.7088, recall: 0.8094, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.1053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.7661, kappa: 0.1818, kb_relative_information_score: 2584.9603, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7579, predictive_accuracy: 0.7983, prior_entropy: 0.7088, recall: 0.7983, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4491, root_relative_squared_error: 1.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7848, kappa: 0.2421, kb_relative_information_score: 870.868, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8189, prior_entropy: 0.7088, recall: 0.8189, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.7662, kappa: 0.1661, kb_relative_information_score: 3341.0659, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7856, predictive_accuracy: 0.8167, prior_entropy: 0.7088, 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: 0.7514, f_measure: 0.7575, kappa: 0.1333, kb_relative_information_score: 526.9881, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8147, prior_entropy: 0.7088, recall: 0.8147, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.7325, kappa: 0.0429, kb_relative_information_score: 3049.9653, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4363, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.7618, kappa: 0.1727, kb_relative_information_score: 2256.0544, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7508, predictive_accuracy: 0.7904, prior_entropy: 0.7088, recall: 0.7904, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.1591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.7679, kappa: 0.1726, kb_relative_information_score: 649.8998, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7875, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7638, kappa: 0.1567, kb_relative_information_score: 621.3355, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.817, prior_entropy: 0.7088, recall: 0.817, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7884, kappa: 0.2542, kb_relative_information_score: 930.4683, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7951, predictive_accuracy: 0.8227, prior_entropy: 0.7088, recall: 0.8227, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.7728, kappa: 0.1974, kb_relative_information_score: 3129.3563, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7745, predictive_accuracy: 0.8116, prior_entropy: 0.7088, recall: 0.8116, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.7685, kappa: 0.1769, kb_relative_information_score: 3246.5527, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7788, predictive_accuracy: 0.8144, prior_entropy: 0.7088, 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: 0.7582, f_measure: 0.784, kappa: 0.2386, kb_relative_information_score: 765.2683, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7888, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7875, kappa: 0.2519, kb_relative_information_score: 853.8178, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7918, predictive_accuracy: 0.8208, prior_entropy: 0.7088, recall: 0.8208, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7798, kappa: 0.2213, kb_relative_information_score: 687.1866, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7855, kappa: 0.2523, kb_relative_information_score: 784.099, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8133, prior_entropy: 0.7088, recall: 0.8133, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.527, f_measure: 0.7437, kappa: 0.0823, kb_relative_information_score: 3155.82, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7844, predictive_accuracy: 0.8122, prior_entropy: 0.7088, recall: 0.8122, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.759, kappa: 0.1388, kb_relative_information_score: 494.7426, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8147, prior_entropy: 0.7088, recall: 0.8147, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7648, kappa: 0.1613, kb_relative_information_score: 594.4528, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7812, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7875, kappa: 0.2544, kb_relative_information_score: 861.5025, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7892, predictive_accuracy: 0.8189, prior_entropy: 0.7088, recall: 0.8189, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.7438, kappa: 0.1177, kb_relative_information_score: 1409.2161, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7288, predictive_accuracy: 0.7698, prior_entropy: 0.7088, recall: 0.7698, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7757, kappa: 0.2194, kb_relative_information_score: 418.0912, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7689, predictive_accuracy: 0.8038, prior_entropy: 0.7088, recall: 0.8038, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7738, kappa: 0.1984, kb_relative_information_score: 678.2579, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7808, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.7702, kappa: 0.182, kb_relative_information_score: 640.0164, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8169, prior_entropy: 0.7088, recall: 0.8169, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.7333, kappa: 0.0454, kb_relative_information_score: 3046.1847, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7807, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7742, kappa: 0.1978, kb_relative_information_score: 658.4903, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7868, predictive_accuracy: 0.818, prior_entropy: 0.7088, recall: 0.818, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.7219, kappa: 0.0061, kb_relative_information_score: 2951.6715, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.439, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7769, kappa: 0.211, kb_relative_information_score: 723.3555, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8155, prior_entropy: 0.7088, recall: 0.8155, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.7662, kappa: 0.1661, kb_relative_information_score: 3341.0659, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7856, predictive_accuracy: 0.8167, prior_entropy: 0.7088, 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: 0.5735, f_measure: 0.7565, kappa: 0.1703, kb_relative_information_score: 1681.4141, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7448, predictive_accuracy: 0.7764, prior_entropy: 0.7088, recall: 0.7764, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7822, kappa: 0.2301, kb_relative_information_score: 659.1481, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7894, predictive_accuracy: 0.8196, prior_entropy: 0.7088, recall: 0.8196, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7826, kappa: 0.2339, kb_relative_information_score: 793.9435, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7864, kappa: 0.2511, kb_relative_information_score: 812.5339, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7868, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7619, kappa: 0.1504, kb_relative_information_score: 569.6333, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7789, predictive_accuracy: 0.8141, prior_entropy: 0.7088, recall: 0.8141, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.7312, kappa: 0.0383, kb_relative_information_score: 3046.1847, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7897, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.7756, kappa: 0.209, kb_relative_information_score: 3140.6979, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7759, predictive_accuracy: 0.8119, prior_entropy: 0.7088, recall: 0.8119, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4338, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7579, kappa: 0.1346, kb_relative_information_score: 527.7758, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7835, predictive_accuracy: 0.8149, prior_entropy: 0.7088, recall: 0.8149, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.7286, kappa: 0.0291, kb_relative_information_score: 3027.2821, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7979, predictive_accuracy: 0.8091, prior_entropy: 0.7088, recall: 0.8091, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4369, root_relative_squared_error: 1.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.744, kappa: 0.0835, kb_relative_information_score: 3159.6006, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.8123, prior_entropy: 0.7088, 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: 0.5143, f_measure: 0.7331, kappa: 0.0449, kb_relative_information_score: 3057.5263, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7857, predictive_accuracy: 0.8098, prior_entropy: 0.7088, recall: 0.8098, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7736, kappa: 0.2058, kb_relative_information_score: 549.7667, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7696, predictive_accuracy: 0.8069, prior_entropy: 0.7088, recall: 0.8069, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.741, kappa: 0.1212, kb_relative_information_score: 1012.2606, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7279, predictive_accuracy: 0.7601, prior_entropy: 0.7088, recall: 0.7601, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.2398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7832, kappa: 0.2479, kb_relative_information_score: 663.5788, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7776, predictive_accuracy: 0.8087, prior_entropy: 0.7088, recall: 0.8087, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7657, kappa: 0.1657, kb_relative_information_score: 597.6146, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7776, predictive_accuracy: 0.8139, prior_entropy: 0.7088, recall: 0.8139, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7571, kappa: 0.1315, kb_relative_information_score: 493.3947, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7833, predictive_accuracy: 0.8147, prior_entropy: 0.7088, recall: 0.8147, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.7416, kappa: 0.1234, kb_relative_information_score: 1031.1632, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7286, predictive_accuracy: 0.7606, prior_entropy: 0.7088, recall: 0.7606, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.2387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.7606, kappa: 0.1446, kb_relative_information_score: 3299.4801, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8157, prior_entropy: 0.7088, recall: 0.8157, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4293, root_relative_squared_error: 1.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7834, kappa: 0.2344, kb_relative_information_score: 743.9162, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7912, predictive_accuracy: 0.8205, prior_entropy: 0.7088, recall: 0.8205, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7746, kappa: 0.1996, kb_relative_information_score: 644.1698, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.786, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.7728, kappa: 0.192, kb_relative_information_score: 682.3452, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7878, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7713, kappa: 0.1859, kb_relative_information_score: 686.013, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7872, predictive_accuracy: 0.8179, prior_entropy: 0.7088, recall: 0.8179, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7784, kappa: 0.2131, kb_relative_information_score: 872.5753, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.793, predictive_accuracy: 0.8209, prior_entropy: 0.7088, recall: 0.8209, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.7453, kappa: 0.0884, kb_relative_information_score: 3136.9174, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8118, prior_entropy: 0.7088, recall: 0.8118, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4339, root_relative_squared_error: 1.0983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7696, kappa: 0.1804, kb_relative_information_score: 635.5358, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.782, predictive_accuracy: 0.8158, prior_entropy: 0.7088, recall: 0.8158, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.7288, kappa: 0.0299, kb_relative_information_score: 3031.0626, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7988, predictive_accuracy: 0.8092, prior_entropy: 0.7088, recall: 0.8092, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4368, root_relative_squared_error: 1.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.7494, kappa: 0.1034, kb_relative_information_score: 3170.9422, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7793, predictive_accuracy: 0.8126, prior_entropy: 0.7088, 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: 0.574, f_measure: 0.7608, kappa: 0.1767, kb_relative_information_score: 2025.4421, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7492, predictive_accuracy: 0.7847, prior_entropy: 0.7088, recall: 0.7847, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.464, root_relative_squared_error: 1.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.7742, kappa: 0.2042, kb_relative_information_score: 3091.5511, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7739, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4351, root_relative_squared_error: 1.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.7747, kappa: 0.2119, kb_relative_information_score: 507.1996, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7696, predictive_accuracy: 0.806, prior_entropy: 0.7088, recall: 0.806, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.7512, kappa: 0.1573, kb_relative_information_score: 1367.6302, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7396, predictive_accuracy: 0.7688, prior_entropy: 0.7088, recall: 0.7688, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.7481, kappa: 0.1483, kb_relative_information_score: 1220.1897, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7364, predictive_accuracy: 0.7652, prior_entropy: 0.7088, recall: 0.7652, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, f_measure: 0.7403, kappa: 0.0703, kb_relative_information_score: 3140.6979, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8119, prior_entropy: 0.7088, recall: 0.8119, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4338, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.7789, kappa: 0.2167, kb_relative_information_score: 687.1479, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.7762, kappa: 0.2046, kb_relative_information_score: 721.298, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7916, predictive_accuracy: 0.8201, prior_entropy: 0.7088, recall: 0.8201, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7754, kappa: 0.2106, kb_relative_information_score: 602.7467, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7733, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.7217, kappa: 0.0054, kb_relative_information_score: 2947.891, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8072, prior_entropy: 0.7088, recall: 0.8072, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.7448, kappa: 0.1158, kb_relative_information_score: 1579.3398, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7294, predictive_accuracy: 0.7739, prior_entropy: 0.7088, recall: 0.7739, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.2037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7677, kappa: 0.1722, kb_relative_information_score: 618.5011, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7847, predictive_accuracy: 0.8166, prior_entropy: 0.7088, recall: 0.8166, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.7763, kappa: 0.2048, kb_relative_information_score: 768.662, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7923, predictive_accuracy: 0.8204, prior_entropy: 0.7088, recall: 0.8204, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7664, kappa: 0.168, kb_relative_information_score: 610.6867, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7796, predictive_accuracy: 0.8147, prior_entropy: 0.7088, recall: 0.8147, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7918, kappa: 0.2692, kb_relative_information_score: 939.4881, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7956, predictive_accuracy: 0.8229, prior_entropy: 0.7088, recall: 0.8229, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.785, kappa: 0.2409, kb_relative_information_score: 685.75, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.792, predictive_accuracy: 0.8209, prior_entropy: 0.7088, recall: 0.8209, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7549, kappa: 0.1236, kb_relative_information_score: 475.5976, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8136, prior_entropy: 0.7088, recall: 0.8136, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.77, kappa: 0.1818, kb_relative_information_score: 632.3525, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7822, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.7664, kappa: 0.1677, kb_relative_information_score: 601.9057, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7664, kappa: 0.1666, kb_relative_information_score: 701.0221, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.7599, kappa: 0.1422, kb_relative_information_score: 3288.1385, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7844, predictive_accuracy: 0.8154, prior_entropy: 0.7088, recall: 0.8154, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7754, kappa: 0.2045, kb_relative_information_score: 710.1602, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7822, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.7237, kappa: 0.0122, kb_relative_information_score: 2970.5742, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8081, predictive_accuracy: 0.8077, prior_entropy: 0.7088, recall: 0.8077, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.7418, kappa: 0.1237, kb_relative_information_score: 1046.2854, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7288, predictive_accuracy: 0.761, prior_entropy: 0.7088, recall: 0.761, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.2377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7683, kappa: 0.1748, kb_relative_information_score: 609.5859, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8161, prior_entropy: 0.7088, recall: 0.8161, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, f_measure: 0.7489, kappa: 0.1015, kb_relative_information_score: 3163.3811, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8124, prior_entropy: 0.7088, 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: 0.5019, f_measure: 0.7219, kappa: 0.0061, kb_relative_information_score: 2951.6715, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.439, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.7457, kappa: 0.0898, kb_relative_information_score: 3125.5758, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8115, prior_entropy: 0.7088, recall: 0.8115, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.7327, kappa: 0.0432, kb_relative_information_score: 3046.1847, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7666, kappa: 0.1688, kb_relative_information_score: 607.5064, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7811, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9255,

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