Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8683, kappa: 0.6807, kb_relative_information_score: 2568.615, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8678, predictive_accuracy: 0.869, prior_entropy: 0.8733, recall: 0.869, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7736, kappa: 0.4413, kb_relative_information_score: 1747.9405, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7717, predictive_accuracy: 0.7805, prior_entropy: 0.8733, recall: 0.7805, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.7383, kappa: 0.3597, kb_relative_information_score: 1790.8329, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7354, predictive_accuracy: 0.7428, prior_entropy: 0.8733, recall: 0.7428, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7764, kappa: 0.4762, kb_relative_information_score: 1649.1669, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7857, predictive_accuracy: 0.7715, prior_entropy: 0.8733, recall: 0.7715, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7736, kappa: 0.4413, kb_relative_information_score: 1747.9405, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7717, predictive_accuracy: 0.7805, prior_entropy: 0.8733, recall: 0.7805, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.7383, kappa: 0.3597, kb_relative_information_score: 1790.8329, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7354, predictive_accuracy: 0.7428, prior_entropy: 0.8733, recall: 0.7428, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7764, kappa: 0.4762, kb_relative_information_score: 1649.1669, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7857, predictive_accuracy: 0.7715, prior_entropy: 0.8733, recall: 0.7715, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8617, kappa: 0.6654, kb_relative_information_score: 3099.8875, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8613, predictive_accuracy: 0.8621, prior_entropy: 0.8733, recall: 0.8621, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: -0.3608, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8674, kappa: 0.6787, kb_relative_information_score: 3550.3355, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8669, predictive_accuracy: 0.8681, prior_entropy: 0.8733, recall: 0.8681, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8684, kappa: 0.6846, kb_relative_information_score: 3206.885, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8694, predictive_accuracy: 0.8677, prior_entropy: 0.8733, recall: 0.8677, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.32, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8425, kappa: 0.6203, kb_relative_information_score: 2696.4665, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8426, predictive_accuracy: 0.8425, prior_entropy: 0.8733, recall: 0.8425, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8635, kappa: 0.6681, kb_relative_information_score: 3295.8961, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8629, predictive_accuracy: 0.8647, prior_entropy: 0.8733, recall: 0.8647, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: -0.3608, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8252, kappa: 0.5889, kb_relative_information_score: 2313.2708, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8322, predictive_accuracy: 0.8218, prior_entropy: 0.8733, recall: 0.8218, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8292, kappa: 0.5947, kb_relative_information_score: 2462.019, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8332, predictive_accuracy: 0.8268, prior_entropy: 0.8733, recall: 0.8268, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.7416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7761, kappa: 0.4933, kb_relative_information_score: 1880.9879, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8014, predictive_accuracy: 0.7678, prior_entropy: 0.8733, recall: 0.7678, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8038, kappa: 0.5214, kb_relative_information_score: 1879.3485, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8024, predictive_accuracy: 0.8064, prior_entropy: 0.8733, recall: 0.8064, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7751, kappa: 0.4511, kb_relative_information_score: 1595.589, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7731, predictive_accuracy: 0.7781, prior_entropy: 0.8733, recall: 0.7781, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.585, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7615, kappa: 0.465, kb_relative_information_score: 1920.7814, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7915, predictive_accuracy: 0.752, prior_entropy: 0.8733, recall: 0.752, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7597, kappa: 0.4117, kb_relative_information_score: 2089.2238, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7572, predictive_accuracy: 0.7641, prior_entropy: 0.8733, recall: 0.7641, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4857, root_relative_squared_error: 1.0666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.9035, kappa: 0.7653, kb_relative_information_score: 4059.7336, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9032, predictive_accuracy: 0.9043, prior_entropy: 0.8733, recall: 0.9043, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.8456, kappa: 0.6269, kb_relative_information_score: 3238.4591, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8453, predictive_accuracy: 0.8459, prior_entropy: 0.8733, recall: 0.8459, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.5864, kappa: 0.0021, kb_relative_information_score: -1824.2199, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6461, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.1878, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.493, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.8337, kappa: 0.5935, kb_relative_information_score: 3103.3127, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8327, predictive_accuracy: 0.8362, prior_entropy: 0.8733, recall: 0.8362, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.5452, kappa: 0.135, kb_relative_information_score: -1195.3834, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6686, predictive_accuracy: 0.5302, prior_entropy: 0.8733, recall: 0.5302, relative_absolute_error: 1.1329, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6854, root_relative_squared_error: 1.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8552, kappa: 0.6473, kb_relative_information_score: 3323.988, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8545, predictive_accuracy: 0.8568, prior_entropy: 0.8733, recall: 0.8568, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8152, kappa: 0.5563, kb_relative_information_score: 1966.2202, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8161, predictive_accuracy: 0.8144, prior_entropy: 0.8733, recall: 0.8144, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8091, kappa: 0.5394, kb_relative_information_score: 1691.3789, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.809, predictive_accuracy: 0.8092, prior_entropy: 0.8733, recall: 0.8092, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.7582, kappa: 0.4436, kb_relative_information_score: 1101.7208, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7754, predictive_accuracy: 0.7507, prior_entropy: 0.8733, recall: 0.7507, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.872, kappa: 0.6897, kb_relative_information_score: 3394.6623, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8715, predictive_accuracy: 0.8727, prior_entropy: 0.8733, recall: 0.8727, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8601, kappa: 0.6641, kb_relative_information_score: 2901.0232, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8608, predictive_accuracy: 0.8595, prior_entropy: 0.8733, recall: 0.8595, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.809, kappa: 0.5438, kb_relative_information_score: 2111.5051, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8112, predictive_accuracy: 0.8074, prior_entropy: 0.8733, recall: 0.8074, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.883, kappa: 0.7166, kb_relative_information_score: 3122.2779, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8826, predictive_accuracy: 0.8836, prior_entropy: 0.8733, recall: 0.8836, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8949, kappa: 0.7456, kb_relative_information_score: 3361.6165, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8946, predictive_accuracy: 0.8953, prior_entropy: 0.8733, recall: 0.8953, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.877, kappa: 0.6978, kb_relative_information_score: 2975.4429, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8779, predictive_accuracy: 0.8799, prior_entropy: 0.8733, recall: 0.8799, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.5895, kappa: 0.0081, kb_relative_information_score: -1819.2082, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6854, predictive_accuracy: 0.7074, prior_entropy: 0.8733, recall: 0.7074, relative_absolute_error: 1.1872, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7635, kappa: 0.4512, kb_relative_information_score: 1131.9144, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7769, predictive_accuracy: 0.757, prior_entropy: 0.8733, recall: 0.757, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7863, kappa: 0.4822, kb_relative_information_score: 1739.3761, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7854, predictive_accuracy: 0.7874, prior_entropy: 0.8733, recall: 0.7874, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7742, kappa: 0.4531, kb_relative_information_score: 2245.6527, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7733, predictive_accuracy: 0.7752, prior_entropy: 0.8733, recall: 0.7752, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8578, kappa: 0.6545, kb_relative_information_score: 3016.5029, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8571, predictive_accuracy: 0.859, prior_entropy: 0.8733, recall: 0.859, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8989, kappa: 0.7531, kb_relative_information_score: 3475.6145, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8991, predictive_accuracy: 0.9004, prior_entropy: 0.8733, recall: 0.9004, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7689, kappa: 0.4687, kb_relative_information_score: 1551.1038, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7864, predictive_accuracy: 0.7617, prior_entropy: 0.8733, recall: 0.7617, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7878, kappa: 0.496, kb_relative_information_score: 2383.3981, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7919, predictive_accuracy: 0.785, prior_entropy: 0.8733, recall: 0.785, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8621, kappa: 0.67, kb_relative_information_score: 3430.3395, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8634, predictive_accuracy: 0.8612, prior_entropy: 0.8733, recall: 0.8612, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9162, kappa: 0.7956, kb_relative_information_score: 3669.6402, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9164, predictive_accuracy: 0.9173, prior_entropy: 0.8733, recall: 0.9173, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9085, kappa: 0.7787, kb_relative_information_score: 3384.5195, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9083, predictive_accuracy: 0.9088, prior_entropy: 0.8733, recall: 0.9088, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8613, kappa: 0.6662, kb_relative_information_score: 3051.1942, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8616, predictive_accuracy: 0.861, prior_entropy: 0.8733, recall: 0.861, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9111, kappa: 0.7846, kb_relative_information_score: 3490.7571, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9115, prior_entropy: 0.8733, recall: 0.9115, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.9035, kappa: 0.7653, kb_relative_information_score: 4058.248, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9032, predictive_accuracy: 0.9043, prior_entropy: 0.8733, recall: 0.9043, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8981, kappa: 0.7532, kb_relative_information_score: 3965.91, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8978, predictive_accuracy: 0.8986, prior_entropy: 0.8733, recall: 0.8986, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.861, kappa: 0.6654, kb_relative_information_score: 3045.5108, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8613, predictive_accuracy: 0.8607, prior_entropy: 0.8733, recall: 0.8607, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1348.7693, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7522, kappa: 0.3942, kb_relative_information_score: 1853.0503, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7497, predictive_accuracy: 0.7561, prior_entropy: 0.8733, recall: 0.7561, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.872, kappa: 0.6902, kb_relative_information_score: 3612.7108, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8716, predictive_accuracy: 0.8725, prior_entropy: 0.8733, recall: 0.8725, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8568, kappa: 0.6553, kb_relative_information_score: 2964.9558, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8571, predictive_accuracy: 0.8566, prior_entropy: 0.8733, recall: 0.8566, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.9, kappa: 0.7565, kb_relative_information_score: 3817.9656, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8998, predictive_accuracy: 0.901, prior_entropy: 0.8733, recall: 0.901, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8997, kappa: 0.7576, kb_relative_information_score: 3430.2826, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8995, predictive_accuracy: 0.8999, prior_entropy: 0.8733, recall: 0.8999, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8559, kappa: 0.6535, kb_relative_information_score: 2924.0518, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8564, predictive_accuracy: 0.8555, prior_entropy: 0.8733, recall: 0.8555, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7664, kappa: 0.4293, kb_relative_information_score: 2172.8815, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7642, predictive_accuracy: 0.77, prior_entropy: 0.8733, recall: 0.77, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8541, kappa: 0.6493, kb_relative_information_score: 2856.8128, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8546, predictive_accuracy: 0.8536, prior_entropy: 0.8733, recall: 0.8536, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8513, kappa: 0.6423, kb_relative_information_score: 2796.2716, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8517, predictive_accuracy: 0.8509, prior_entropy: 0.8733, recall: 0.8509, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7635, kappa: 0.4514, kb_relative_information_score: 1238.9482, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7771, predictive_accuracy: 0.757, prior_entropy: 0.8733, recall: 0.757, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8454, kappa: 0.6274, kb_relative_information_score: 2653.3704, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8455, predictive_accuracy: 0.8453, prior_entropy: 0.8733, recall: 0.8453, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8369, kappa: 0.6067, kb_relative_information_score: 2493.6145, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8369, predictive_accuracy: 0.837, prior_entropy: 0.8733, recall: 0.837, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8275, kappa: 0.5829, kb_relative_information_score: 2302.8857, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8271, predictive_accuracy: 0.8279, prior_entropy: 0.8733, recall: 0.8279, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7399, kappa: 0.3575, kb_relative_information_score: 1725.3862, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7365, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7608, kappa: 0.4501, kb_relative_information_score: 1235.4961, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7784, predictive_accuracy: 0.7533, prior_entropy: 0.8733, recall: 0.7533, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.8456, kappa: 0.6269, kb_relative_information_score: 3238.4591, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8453, predictive_accuracy: 0.8459, prior_entropy: 0.8733, recall: 0.8459, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8802, kappa: 0.7113, kb_relative_information_score: 3523.6327, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8803, predictive_accuracy: 0.8801, prior_entropy: 0.8733, recall: 0.8801, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8218, kappa: 0.5698, kb_relative_information_score: 2209.3105, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8216, predictive_accuracy: 0.822, prior_entropy: 0.8733, recall: 0.822, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.814, kappa: 0.5465, kb_relative_information_score: 2052.4796, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8127, predictive_accuracy: 0.8164, prior_entropy: 0.8733, recall: 0.8164, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7999, kappa: 0.5066, kb_relative_information_score: 1878.7653, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7989, predictive_accuracy: 0.8057, prior_entropy: 0.8733, recall: 0.8057, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.7812, kappa: 0.458, kb_relative_information_score: 1494.374, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7804, predictive_accuracy: 0.7894, prior_entropy: 0.8733, recall: 0.7894, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7712, kappa: 0.4311, kb_relative_information_score: 1405.8909, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7711, predictive_accuracy: 0.7816, prior_entropy: 0.8733, recall: 0.7816, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9114, kappa: 0.7854, kb_relative_information_score: 3558.3228, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9111, predictive_accuracy: 0.9117, prior_entropy: 0.8733, recall: 0.9117, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8737, kappa: 0.695, kb_relative_information_score: 3632.3124, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8735, predictive_accuracy: 0.8738, prior_entropy: 0.8733, recall: 0.8738, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8597, kappa: 0.6595, kb_relative_information_score: 2762.195, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8591, predictive_accuracy: 0.8607, prior_entropy: 0.8733, recall: 0.8607, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: -0.3608, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7977, kappa: 0.5081, kb_relative_information_score: 1952.3301, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7964, predictive_accuracy: 0.7996, prior_entropy: 0.8733, recall: 0.7996, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9062, kappa: 0.7716, kb_relative_information_score: 3753.3673, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.906, predictive_accuracy: 0.9071, prior_entropy: 0.8733, recall: 0.9071, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8603, kappa: 0.6587, kb_relative_information_score: 2496.6764, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8597, predictive_accuracy: 0.8623, prior_entropy: 0.8733, recall: 0.8623, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7977, kappa: 0.5081, kb_relative_information_score: 1952.3301, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7964, predictive_accuracy: 0.7996, prior_entropy: 0.8733, recall: 0.7996, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.739, kappa: 0.3534, kb_relative_information_score: 1285.242, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7359, predictive_accuracy: 0.7489, prior_entropy: 0.8733, recall: 0.7489, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8227, kappa: 0.5807, kb_relative_information_score: 2514.9646, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8279, predictive_accuracy: 0.8198, prior_entropy: 0.8733, recall: 0.8198, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9092, kappa: 0.7793, kb_relative_information_score: 3539.6205, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9089, predictive_accuracy: 0.9099, prior_entropy: 0.8733, recall: 0.9099, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9111, kappa: 0.7849, kb_relative_information_score: 3562.1336, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9109, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5666,

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