OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.685, kappa: 0.2869, kb_relative_information_score: 122.8894, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6828, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8333, kappa: 0.6334, kb_relative_information_score: 365.3321, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8357, predictive_accuracy: 0.8319, prior_entropy: 0.9279, recall: 0.8319, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7218, kappa: 0.374, kb_relative_information_score: 193.7989, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7199, predictive_accuracy: 0.7271, prior_entropy: 0.9279, recall: 0.7271, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7986, kappa: 0.5526, kb_relative_information_score: 304.0579, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.7987, prior_entropy: 0.9279, recall: 0.7987, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7112, kappa: 0.3495, kb_relative_information_score: 173.0825, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.709, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.683, kappa: 0.2821, kb_relative_information_score: 120.5709, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6808, predictive_accuracy: 0.6938, prior_entropy: 0.9279, recall: 0.6938, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9036, kappa: 0.7863, kb_relative_information_score: 460.3085, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9037, predictive_accuracy: 0.9035, prior_entropy: 0.9279, recall: 0.9035, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8453, kappa: 0.6569, kb_relative_information_score: 385.5122, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8454, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6865, kappa: 0.2899, kb_relative_information_score: 120.1905, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6965, kappa: 0.3137, kb_relative_information_score: 148.448, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6944, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7263, kappa: 0.3832, kb_relative_information_score: 206.8689, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7246, predictive_accuracy: 0.7321, prior_entropy: 0.9279, recall: 0.7321, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8758, kappa: 0.7259, kb_relative_information_score: 426.1515, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8769, predictive_accuracy: 0.8752, prior_entropy: 0.9279, recall: 0.8752, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7103, kappa: 0.3464, kb_relative_information_score: 169.8954, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7082, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7603, kappa: 0.4618, kb_relative_information_score: 249.524, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.759, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.6865, kappa: 0.2899, kb_relative_information_score: 120.1118, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9537, kappa: 0.8978, kb_relative_information_score: 536.5204, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9545, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.7937, kappa: 0.5421, kb_relative_information_score: 299.9803, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7937, predictive_accuracy: 0.7937, prior_entropy: 0.9279, recall: 0.7937, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.6741, kappa: 0.2617, kb_relative_information_score: 107.5584, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6715, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 473.6966, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.6747, kappa: 0.2635, kb_relative_information_score: 105.1776, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6719, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9051, kappa: 0.7893, kb_relative_information_score: 466.9052, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7576, kappa: 0.4569, kb_relative_information_score: 254.2572, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7562, predictive_accuracy: 0.7604, prior_entropy: 0.9279, recall: 0.7604, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7305, kappa: 0.3938, kb_relative_information_score: 227.7221, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7288, predictive_accuracy: 0.7354, prior_entropy: 0.9279, recall: 0.7354, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.7955, kappa: 0.5463, kb_relative_information_score: 301.2789, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7956, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8218, kappa: 0.6084, kb_relative_information_score: 341.8609, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8245, predictive_accuracy: 0.8203, prior_entropy: 0.9279, recall: 0.8203, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7527, kappa: 0.4462, kb_relative_information_score: 237.9127, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7513, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7505, kappa: 0.4404, kb_relative_information_score: 241.7227, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.749, predictive_accuracy: 0.7537, prior_entropy: 0.9279, recall: 0.7537, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9586, kappa: 0.9088, kb_relative_information_score: 543.5468, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9596, predictive_accuracy: 0.9584, prior_entropy: 0.9279, recall: 0.9584, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 188.3656, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8823, kappa: 0.7399, kb_relative_information_score: 436.4229, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.883, predictive_accuracy: 0.8819, prior_entropy: 0.9279, recall: 0.8819, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.932, kappa: 0.8495, kb_relative_information_score: 502.985, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9323, predictive_accuracy: 0.9318, prior_entropy: 0.9279, recall: 0.9318, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 189.5565, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9472, kappa: 0.884, kb_relative_information_score: 516.881, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9491, predictive_accuracy: 0.9468, prior_entropy: 0.9279, recall: 0.9468, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7603, kappa: 0.4618, kb_relative_information_score: 249.524, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.759, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.83, kappa: 0.6261, kb_relative_information_score: 348.0426, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8324, predictive_accuracy: 0.8286, prior_entropy: 0.9279, recall: 0.8286, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7941, kappa: 0.5442, kb_relative_information_score: 293.8005, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7947, predictive_accuracy: 0.7937, prior_entropy: 0.9279, recall: 0.7937, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 591.4194, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9075, kappa: 0.7965, kb_relative_information_score: 474.2698, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9092, predictive_accuracy: 0.9068, prior_entropy: 0.9279, recall: 0.9068, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9834, kappa: 0.9632, kb_relative_information_score: 580.2021, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8903, kappa: 0.7568, kb_relative_information_score: 444.4559, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8905, predictive_accuracy: 0.8902, prior_entropy: 0.9279, recall: 0.8902, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9373, kappa: 0.8622, kb_relative_information_score: 510.2944, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9392, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9553, kappa: 0.9013, kb_relative_information_score: 540.1119, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.956, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.719, kappa: 0.3664, kb_relative_information_score: 190.7056, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7172, predictive_accuracy: 0.7255, prior_entropy: 0.9279, recall: 0.7255, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9752, kappa: 0.9453, kb_relative_information_score: 568.0165, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.976, predictive_accuracy: 0.975, prior_entropy: 0.9279, recall: 0.975, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.7972, kappa: 0.5505, kb_relative_information_score: 304.5691, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7975, predictive_accuracy: 0.797, prior_entropy: 0.9279, recall: 0.797, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7557, kappa: 0.4524, kb_relative_information_score: 239.688, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7543, predictive_accuracy: 0.7587, prior_entropy: 0.9279, recall: 0.7587, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8315, kappa: 0.6293, kb_relative_information_score: 350.1827, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8337, predictive_accuracy: 0.8303, prior_entropy: 0.9279, recall: 0.8303, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7531, kappa: 0.4475, kb_relative_information_score: 252.1117, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7517, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.374, root_relative_squared_error: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7233, kappa: 0.3771, kb_relative_information_score: 203.9599, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7214, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9067, kappa: 0.7927, kb_relative_information_score: 473.6589, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9066, predictive_accuracy: 0.9068, prior_entropy: 0.9279, recall: 0.9068, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6741, kappa: 0.2617, kb_relative_information_score: 107.6905, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6715, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.7814, kappa: 0.5134, kb_relative_information_score: 277.0845, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7808, predictive_accuracy: 0.782, prior_entropy: 0.9279, recall: 0.782, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 589.1257, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.1652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8043, kappa: 0.5672, kb_relative_information_score: 304.7153, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8051, predictive_accuracy: 0.8037, prior_entropy: 0.9279, recall: 0.8037, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6945, kappa: 0.3089, kb_relative_information_score: 141.95, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6924, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9686, kappa: 0.9309, kb_relative_information_score: 558.4431, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9698, predictive_accuracy: 0.9684, prior_entropy: 0.9279, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.719, kappa: 0.3664, kb_relative_information_score: 194.2397, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7172, predictive_accuracy: 0.7255, prior_entropy: 0.9279, recall: 0.7255, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.915, kappa: 0.811, kb_relative_information_score: 483.773, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9149, predictive_accuracy: 0.9151, prior_entropy: 0.9279, recall: 0.9151, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8425, kappa: 0.652, kb_relative_information_score: 384.0421, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8434, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.6945, kappa: 0.3089, kb_relative_information_score: 142.7598, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6924, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8676, kappa: 0.708, kb_relative_information_score: 416.0374, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8688, predictive_accuracy: 0.8669, prior_entropy: 0.9279, recall: 0.8669, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8637, kappa: 0.6979, kb_relative_information_score: 406.2865, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8639, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8626, kappa: 0.6967, kb_relative_information_score: 406.8611, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8637, predictive_accuracy: 0.8619, prior_entropy: 0.9279, recall: 0.8619, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8438, kappa: 0.6537, kb_relative_information_score: 385.8278, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.844, predictive_accuracy: 0.8436, prior_entropy: 0.9279, recall: 0.8436, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 288.8829, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6865, kappa: 0.2899, kb_relative_information_score: 119.0784, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.6945, kappa: 0.3089, kb_relative_information_score: 142.7598, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6924, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6721, kappa: 0.2569, kb_relative_information_score: 106.5096, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6694, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8724, kappa: 0.7179, kb_relative_information_score: 416.6589, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8731, predictive_accuracy: 0.8719, prior_entropy: 0.9279, recall: 0.8719, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 587.2568, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7097, kappa: 0.3465, kb_relative_information_score: 162.2502, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7075, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8498, kappa: 0.6697, kb_relative_information_score: 383.6331, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8521, predictive_accuracy: 0.8486, prior_entropy: 0.9279, recall: 0.8486, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8392, kappa: 0.6447, kb_relative_information_score: 380.9105, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8401, predictive_accuracy: 0.8386, prior_entropy: 0.9279, recall: 0.8386, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9422, kappa: 0.873, kb_relative_information_score: 515.1201, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9439, predictive_accuracy: 0.9418, prior_entropy: 0.9279, recall: 0.9418, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8487, kappa: 0.6643, kb_relative_information_score: 384.7789, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8488, predictive_accuracy: 0.8486, prior_entropy: 0.9279, recall: 0.8486, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 288.1396, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9124, kappa: 0.8072, kb_relative_information_score: 479.4477, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9139, predictive_accuracy: 0.9118, prior_entropy: 0.9279, recall: 0.9118, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9134, kappa: 0.8075, kb_relative_information_score: 482.2117, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9133, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7957, kappa: 0.5473, kb_relative_information_score: 293.8039, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7961, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7263, kappa: 0.3832, kb_relative_information_score: 206.8631, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7246, predictive_accuracy: 0.7321, prior_entropy: 0.9279, recall: 0.7321, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7078, kappa: 0.3419, kb_relative_information_score: 162.4177, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7055, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7648, kappa: 0.4713, kb_relative_information_score: 254.1223, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7637, predictive_accuracy: 0.7687, prior_entropy: 0.9279, recall: 0.7687, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 590.3417, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.949, kappa: 0.8885, kb_relative_information_score: 522.334, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9525, predictive_accuracy: 0.9484, prior_entropy: 0.9279, recall: 0.9484, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9735, kappa: 0.9416, kb_relative_information_score: 563.2235, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9742, predictive_accuracy: 0.9734, prior_entropy: 0.9279, recall: 0.9734, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9702, kappa: 0.9344, kb_relative_information_score: 557.1666, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9713, predictive_accuracy: 0.97, prior_entropy: 0.9279, recall: 0.97, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.6761, kappa: 0.2665, kb_relative_information_score: 109.6545, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6735, predictive_accuracy: 0.6872, prior_entropy: 0.9279, recall: 0.6872, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7252, kappa: 0.3816, kb_relative_information_score: 206.7146, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7234, predictive_accuracy: 0.7304, prior_entropy: 0.9279, recall: 0.7304, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9026, kappa: 0.7858, kb_relative_information_score: 465.0159, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9046, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7576, kappa: 0.4569, kb_relative_information_score: 254.2572, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7562, predictive_accuracy: 0.7604, prior_entropy: 0.9279, recall: 0.7604, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.7999, kappa: 0.5548, kb_relative_information_score: 305.4424, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7995, predictive_accuracy: 0.8003, prior_entropy: 0.9279, recall: 0.8003, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8756, kappa: 0.7246, kb_relative_information_score: 423.9758, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.876, predictive_accuracy: 0.8752, prior_entropy: 0.9279, recall: 0.8752, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.717, kappa: 0.3633, kb_relative_information_score: 193.4333, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7149, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7316, kappa: 0.3954, kb_relative_information_score: 208.9033, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.73, predictive_accuracy: 0.7371, prior_entropy: 0.9279, recall: 0.7371, relative_absolute_error: 0.6295, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.797, kappa: 0.5495, kb_relative_information_score: 296.3113, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.797, predictive_accuracy: 0.797, prior_entropy: 0.9279, recall: 0.797, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.7603, kappa: 0.4618, kb_relative_information_score: 250.0914, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.759, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.717, kappa: 0.3633, kb_relative_information_score: 194.6242, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7149, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7097, kappa: 0.3465, kb_relative_information_score: 162.7888, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7075, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9571, kappa: 0.9057, kb_relative_information_score: 534.1857, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9589, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8032, kappa: 0.5622, kb_relative_information_score: 305.4617, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8028, predictive_accuracy: 0.8037, prior_entropy: 0.9279, recall: 0.8037, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.7271,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs