Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 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_7 study_98 study_99 under100k under1m
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112802 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.9044, kappa: 0.5377, kb_relative_information_score: 0.3977, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9022, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.857, kappa: 0.3044, kb_relative_information_score: 0.1229, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8519, predictive_accuracy: 0.8635, prior_entropy: 0.5353, recall: 0.8635, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.906, kappa: 0.5494, kb_relative_information_score: 0.4472, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9041, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.877, kappa: 0.3396, kb_relative_information_score: 0.1578, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8966, predictive_accuracy: 0.9019, prior_entropy: 0.5353, recall: 0.9019, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8618, kappa: 0.2461, kb_relative_information_score: 0.098, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8934, predictive_accuracy: 0.8951, prior_entropy: 0.5353, recall: 0.8951, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.89, kappa: 0.4616, kb_relative_information_score: 0.3827, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8866, predictive_accuracy: 0.8957, prior_entropy: 0.5353, recall: 0.8957, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9161, kappa: 0.595, kb_relative_information_score: 0.4765, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9144, predictive_accuracy: 0.9191, prior_entropy: 0.5353, recall: 0.9191, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.909, kappa: 0.5584, kb_relative_information_score: 0.3733, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9069, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9127, kappa: 0.5769, kb_relative_information_score: 0.4812, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9108, predictive_accuracy: 0.9163, prior_entropy: 0.5353, recall: 0.9163, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8833, kappa: 0.3884, kb_relative_information_score: 0.2299, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8881, predictive_accuracy: 0.9012, prior_entropy: 0.5353, recall: 0.9012, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.905, kappa: 0.54, kb_relative_information_score: 0.4013, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9027, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.8604, kappa: 0.3201, kb_relative_information_score: 0.176, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8554, predictive_accuracy: 0.8669, prior_entropy: 0.5353, recall: 0.8669, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3395, root_relative_squared_error: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9157, kappa: 0.5889, kb_relative_information_score: 0.4915, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.914, predictive_accuracy: 0.9198, prior_entropy: 0.5353, recall: 0.9198, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.8671, kappa: 0.3059, kb_relative_information_score: 0.3227, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.865, predictive_accuracy: 0.8868, prior_entropy: 0.5353, recall: 0.8868, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9033, kappa: 0.5306, kb_relative_information_score: 0.3921, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9009, predictive_accuracy: 0.9074, prior_entropy: 0.5353, recall: 0.9074, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9087, kappa: 0.5561, kb_relative_information_score: 0.4188, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8558, kappa: 0.3051, kb_relative_information_score: 0.105, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8516, predictive_accuracy: 0.8608, prior_entropy: 0.5353, recall: 0.8608, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.337, root_relative_squared_error: 1.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8784, kappa: 0.3571, kb_relative_information_score: 0.1935, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8858, predictive_accuracy: 0.8992, prior_entropy: 0.5353, recall: 0.8992, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9117, kappa: 0.5678, kb_relative_information_score: 0.4719, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9099, predictive_accuracy: 0.9163, prior_entropy: 0.5353, recall: 0.9163, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8989, kappa: 0.4933, kb_relative_information_score: 0.2866, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8972, predictive_accuracy: 0.9074, prior_entropy: 0.5353, recall: 0.9074, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.246, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8998, kappa: 0.5085, kb_relative_information_score: 0.3345, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8971, predictive_accuracy: 0.9053, prior_entropy: 0.5353, recall: 0.9053, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5405, f_measure: 0.8483, kappa: 0.1709, kb_relative_information_score: 0.3005, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.864, predictive_accuracy: 0.8855, prior_entropy: 0.5353, recall: 0.8855, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3384, root_relative_squared_error: 1.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8947, kappa: 0.4781, kb_relative_information_score: 0.3164, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8918, predictive_accuracy: 0.9019, prior_entropy: 0.5353, recall: 0.9019, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9003, kappa: 0.4974, kb_relative_information_score: 0.316, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8995, predictive_accuracy: 0.9095, prior_entropy: 0.5353, recall: 0.9095, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8679, kappa: 0.2848, kb_relative_information_score: 0.0839, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.891, predictive_accuracy: 0.8971, prior_entropy: 0.5353, recall: 0.8971, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.8055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9041, kappa: 0.5326, kb_relative_information_score: 0.3549, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9018, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9035, kappa: 0.5248, kb_relative_information_score: 0.3387, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9013, predictive_accuracy: 0.9095, prior_entropy: 0.5353, recall: 0.9095, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9044, kappa: 0.5297, kb_relative_information_score: 0.4173, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9022, predictive_accuracy: 0.9102, prior_entropy: 0.5353, recall: 0.9102, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.8333, kappa: 0.2873, kb_relative_information_score: -0.0712, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8496, predictive_accuracy: 0.821, prior_entropy: 0.5353, recall: 0.821, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8935, kappa: 0.4846, kb_relative_information_score: 0.3232, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8907, predictive_accuracy: 0.8978, prior_entropy: 0.5353, recall: 0.8978, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.279, root_relative_squared_error: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9111, kappa: 0.5655, kb_relative_information_score: 0.4684, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9092, predictive_accuracy: 0.9156, prior_entropy: 0.5353, recall: 0.9156, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.7649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9181, kappa: 0.6043, kb_relative_information_score: 0.5037, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9165, predictive_accuracy: 0.9211, prior_entropy: 0.5353, recall: 0.9211, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9084, kappa: 0.5561, kb_relative_information_score: 0.4037, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9063, predictive_accuracy: 0.9122, prior_entropy: 0.5353, recall: 0.9122, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8432, kappa: 0.1717, kb_relative_information_score: 0.2182, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8334, predictive_accuracy: 0.8697, prior_entropy: 0.5353, recall: 0.8697, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3572, root_relative_squared_error: 1.0912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8922, kappa: 0.4619, kb_relative_information_score: 0.3293, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8893, predictive_accuracy: 0.9005, prior_entropy: 0.5353, recall: 0.9005, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9262, kappa: 0.6419, kb_relative_information_score: 0.5334, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9251, predictive_accuracy: 0.9294, prior_entropy: 0.5353, recall: 0.9294, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9142, kappa: 0.5818, kb_relative_information_score: 0.5075, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9125, predictive_accuracy: 0.9184, prior_entropy: 0.5353, recall: 0.9184, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.9026, kappa: 0.5362, kb_relative_information_score: 0.4086, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9009, predictive_accuracy: 0.9047, prior_entropy: 0.5353, recall: 0.9047, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.8772, kappa: 0.3659, kb_relative_information_score: 0.3545, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8756, predictive_accuracy: 0.893, prior_entropy: 0.5353, recall: 0.893, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9132, kappa: 0.5813, kb_relative_information_score: 0.4743, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9114, predictive_accuracy: 0.9163, prior_entropy: 0.5353, recall: 0.9163, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.8106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.911, kappa: 0.5677, kb_relative_information_score: 0.473, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9091, predictive_accuracy: 0.915, prior_entropy: 0.5353, recall: 0.915, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9139, kappa: 0.5816, kb_relative_information_score: 0.4934, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9121, predictive_accuracy: 0.9177, prior_entropy: 0.5353, recall: 0.9177, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9038, kappa: 0.538, kb_relative_information_score: 0.4366, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9017, predictive_accuracy: 0.9067, prior_entropy: 0.5353, recall: 0.9067, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.8007, kappa: 0.05, kb_relative_information_score: -0.1735, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7964, predictive_accuracy: 0.8052, prior_entropy: 0.5353, recall: 0.8052, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.3476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9144, kappa: 0.586, kb_relative_information_score: 0.47, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9126, predictive_accuracy: 0.9177, prior_entropy: 0.5353, recall: 0.9177, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.8016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8854, kappa: 0.4413, kb_relative_information_score: 0.2972, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8819, predictive_accuracy: 0.8909, prior_entropy: 0.5353, recall: 0.8909, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.7939, kappa: 0.0012, kb_relative_information_score: -0.1869, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7859, predictive_accuracy: 0.8025, prior_entropy: 0.5353, recall: 0.8025, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9085, kappa: 0.5513, kb_relative_information_score: 0.3917, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9065, predictive_accuracy: 0.9136, prior_entropy: 0.5353, recall: 0.9136, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9058, kappa: 0.5471, kb_relative_information_score: 0.4423, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9088, prior_entropy: 0.5353, recall: 0.9088, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9076, kappa: 0.5465, kb_relative_information_score: 0.4226, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9056, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8857, kappa: 0.4442, kb_relative_information_score: 0.2598, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8823, predictive_accuracy: 0.8909, prior_entropy: 0.5353, recall: 0.8909, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9171, kappa: 0.6016, kb_relative_information_score: 0.49, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9155, predictive_accuracy: 0.9198, prior_entropy: 0.5353, recall: 0.9198, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9093, kappa: 0.5607, kb_relative_information_score: 0.4702, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9072, predictive_accuracy: 0.9129, prior_entropy: 0.5353, recall: 0.9129, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9133, kappa: 0.5793, kb_relative_information_score: 0.4383, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9115, predictive_accuracy: 0.917, prior_entropy: 0.5353, recall: 0.917, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8571, kappa: 0.3139, kb_relative_information_score: 0.1111, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8534, predictive_accuracy: 0.8615, prior_entropy: 0.5353, recall: 0.8615, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.34, root_relative_squared_error: 1.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9146, kappa: 0.5799, kb_relative_information_score: 0.5246, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9133, predictive_accuracy: 0.9198, prior_entropy: 0.5353, recall: 0.9198, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.7967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9085, kappa: 0.5513, kb_relative_information_score: 0.4556, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9065, predictive_accuracy: 0.9136, prior_entropy: 0.5353, recall: 0.9136, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.7985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8705, kappa: 0.3105, kb_relative_information_score: 0.138, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.878, predictive_accuracy: 0.8944, prior_entropy: 0.5353, recall: 0.8944, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8766, kappa: 0.4004, kb_relative_information_score: 0.1488, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8727, predictive_accuracy: 0.882, prior_entropy: 0.5353, recall: 0.882, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8844, kappa: 0.3946, kb_relative_information_score: 0.2343, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8891, predictive_accuracy: 0.9019, prior_entropy: 0.5353, recall: 0.9019, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.8688, kappa: 0.3233, kb_relative_information_score: 0.3249, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8648, predictive_accuracy: 0.8855, prior_entropy: 0.5353, recall: 0.8855, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9152, kappa: 0.5905, kb_relative_information_score: 0.4911, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9135, predictive_accuracy: 0.9184, prior_entropy: 0.5353, recall: 0.9184, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.8087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.914, kappa: 0.5796, kb_relative_information_score: 0.4621, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9123, predictive_accuracy: 0.9184, prior_entropy: 0.5353, recall: 0.9184, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.257, root_relative_squared_error: 0.7849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.912, kappa: 0.5679, kb_relative_information_score: 0.3728, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9103, predictive_accuracy: 0.917, prior_entropy: 0.5353, recall: 0.917, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.8548, kappa: 0.2124, kb_relative_information_score: 0.3153, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8668, predictive_accuracy: 0.8875, prior_entropy: 0.5353, recall: 0.8875, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9177, kappa: 0.5983, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9162, predictive_accuracy: 0.9218, prior_entropy: 0.5353, recall: 0.9218, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9177, kappa: 0.5983, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9162, predictive_accuracy: 0.9218, prior_entropy: 0.5353, recall: 0.9218, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9177, kappa: 0.5983, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9162, predictive_accuracy: 0.9218, prior_entropy: 0.5353, recall: 0.9218, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9177, kappa: 0.5983, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9162, predictive_accuracy: 0.9218, prior_entropy: 0.5353, recall: 0.9218, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9177, kappa: 0.5983, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9162, predictive_accuracy: 0.9218, prior_entropy: 0.5353, recall: 0.9218, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9177, kappa: 0.5983, kb_relative_information_score: 0.4766, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9162, predictive_accuracy: 0.9218, prior_entropy: 0.5353, recall: 0.9218, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.8464, kappa: 0.311, kb_relative_information_score: 0.0439, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8529, predictive_accuracy: 0.8409, prior_entropy: 0.5353, recall: 0.8409, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9014, kappa: 0.4904, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9067, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.9026, kappa: 0.4996, kb_relative_information_score: 0.4848, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.906, predictive_accuracy: 0.9143, prior_entropy: 0.5353, recall: 0.9143, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, kb_relative_information_score: 0.0012, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, kb_relative_information_score: 0.0012, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.8935, kappa: 0.4737, kb_relative_information_score: 0.3894, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8905, predictive_accuracy: 0.9005, prior_entropy: 0.5353, recall: 0.9005, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, kb_relative_information_score: 0.0095, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, kb_relative_information_score: 0.0011, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, predictive_accuracy: 0.8779, prior_entropy: 0.5353, recall: 0.8779, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.8914, kappa: 0.4687, kb_relative_information_score: 0.3818, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8882, predictive_accuracy: 0.8971, prior_entropy: 0.5353, recall: 0.8971, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9024, kappa: 0.5202, kb_relative_information_score: 0.3405, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9, predictive_accuracy: 0.9081, prior_entropy: 0.5353, recall: 0.9081, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8995, kappa: 0.5148, kb_relative_information_score: 0.3982, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8971, predictive_accuracy: 0.9033, prior_entropy: 0.5353, recall: 0.9033, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.283, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8987, kappa: 0.5071, kb_relative_information_score: 0.3371, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.896, predictive_accuracy: 0.9033, prior_entropy: 0.5353, recall: 0.9033, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9019, kappa: 0.5083, kb_relative_information_score: 0.3144, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9006, predictive_accuracy: 0.9102, prior_entropy: 0.5353, recall: 0.9102, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.7353,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs