Task
Supervised Classification on breast-tissue

Supervised Classification on breast-tissue

Task 9897 Supervised Classification breast-tissue 268 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.4616, kappa: 0.1937, kb_relative_information_score: 26.4824, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.4707, predictive_accuracy: 0.4811, prior_entropy: 1.8455, recall: 0.4811, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4631, root_relative_squared_error: 1.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, kappa: 0.1009, kb_relative_information_score: 14.3231, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.3444, number_of_instances: 106, predictive_accuracy: 0.4717, prior_entropy: 1.8455, recall: 0.4717, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.4563, kappa: 0.1793, kb_relative_information_score: 25.7723, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.4706, predictive_accuracy: 0.4811, prior_entropy: 1.8455, recall: 0.4811, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.5571, kappa: 0.3474, kb_relative_information_score: 41.9128, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5542, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4658, root_relative_squared_error: 1.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.5157, kappa: 0.2867, kb_relative_information_score: 32.6738, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5106, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5175, kappa: 0.2867, kb_relative_information_score: 36.4691, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5153, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.5485, kappa: 0.3185, kb_relative_information_score: 39.5079, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5677, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.6559, kappa: 0.5035, kb_relative_information_score: 48.5461, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6574, predictive_accuracy: 0.6604, prior_entropy: 1.8455, recall: 0.6604, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.8872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.6159, kappa: 0.4392, kb_relative_information_score: 46.4634, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.621, predictive_accuracy: 0.6226, prior_entropy: 1.8455, recall: 0.6226, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.6255, kappa: 0.4438, kb_relative_information_score: 42.8127, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.647, predictive_accuracy: 0.6321, prior_entropy: 1.8455, recall: 0.6321, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.6559, kappa: 0.5035, kb_relative_information_score: 50.1754, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6574, predictive_accuracy: 0.6604, prior_entropy: 1.8455, recall: 0.6604, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.5051, kappa: 0.2574, kb_relative_information_score: 19.9646, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5117, predictive_accuracy: 0.5189, prior_entropy: 1.8455, recall: 0.5189, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.5849, kappa: 0.3833, kb_relative_information_score: 45.8811, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5887, predictive_accuracy: 0.5943, prior_entropy: 1.8455, recall: 0.5943, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4365, root_relative_squared_error: 1.0536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.6465, kappa: 0.4916, kb_relative_information_score: 29.9059, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6492, predictive_accuracy: 0.6509, prior_entropy: 1.8455, recall: 0.6509, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.6096, kappa: 0.4188, kb_relative_information_score: 48.7893, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.615, predictive_accuracy: 0.6132, prior_entropy: 1.8455, recall: 0.6132, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.5904, kappa: 0.4015, kb_relative_information_score: 42.962, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5863, predictive_accuracy: 0.6038, prior_entropy: 1.8455, recall: 0.6038, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.6392, kappa: 0.4712, kb_relative_information_score: 47.7291, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6383, predictive_accuracy: 0.6415, prior_entropy: 1.8455, recall: 0.6415, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.5513, kappa: 0.3289, kb_relative_information_score: 37.6762, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.556, predictive_accuracy: 0.5566, prior_entropy: 1.8455, recall: 0.5566, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.4947, kappa: 0.2612, kb_relative_information_score: 24.3002, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.4843, predictive_accuracy: 0.5377, prior_entropy: 1.8455, recall: 0.5377, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.6392, kappa: 0.4712, kb_relative_information_score: 47.7291, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6383, predictive_accuracy: 0.6415, prior_entropy: 1.8455, recall: 0.6415, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.6558, kappa: 0.4976, kb_relative_information_score: 42.0078, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6613, predictive_accuracy: 0.6604, prior_entropy: 1.8455, recall: 0.6604, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.5075, kappa: 0.2832, kb_relative_information_score: 26.4315, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5139, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4525, f_measure: 0.2923, kb_relative_information_score: 0.172, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.5396, kappa: 0.3049, kb_relative_information_score: 36.7741, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5687, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.5295, kappa: 0.2896, kb_relative_information_score: 36.4939, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5471, predictive_accuracy: 0.5472, prior_entropy: 1.8455, recall: 0.5472, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.5396, kappa: 0.3049, kb_relative_information_score: 36.7741, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5687, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.5326, kappa: 0.3121, kb_relative_information_score: 38.7112, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5314, predictive_accuracy: 0.5377, prior_entropy: 1.8455, recall: 0.5377, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.6458, kappa: 0.4879, kb_relative_information_score: 50.0996, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6469, predictive_accuracy: 0.6509, prior_entropy: 1.8455, recall: 0.6509, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6465, kappa: 0.4916, kb_relative_information_score: 50.1506, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6492, predictive_accuracy: 0.6509, prior_entropy: 1.8455, recall: 0.6509, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.369, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.4881, kappa: 0.2432, kb_relative_information_score: 23.4401, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5065, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.5126, kappa: 0.2957, kb_relative_information_score: 23.2536, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.495, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.4851, kappa: 0.2475, kb_relative_information_score: 12.1619, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.4824, predictive_accuracy: 0.5189, prior_entropy: 1.8455, recall: 0.5189, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.607, kappa: 0.4159, kb_relative_information_score: 39.8806, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6202, predictive_accuracy: 0.6226, prior_entropy: 1.8455, recall: 0.6226, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.5326, kappa: 0.3121, kb_relative_information_score: 38.7112, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5314, predictive_accuracy: 0.5377, prior_entropy: 1.8455, recall: 0.5377, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.594, kappa: 0.4106, kb_relative_information_score: 46.7026, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6, predictive_accuracy: 0.6038, prior_entropy: 1.8455, recall: 0.6038, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.564, kappa: 0.3677, kb_relative_information_score: 43.0371, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5645, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.5126, kappa: 0.2957, kb_relative_information_score: 23.3962, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.495, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.284, kappa: -0.0256, kb_relative_information_score: -0.0824, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2089, predictive_accuracy: 0.4434, prior_entropy: 1.8455, recall: 0.4434, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.0134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.4989, kappa: 0.268, kb_relative_information_score: 35.2735, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.4906, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.5192, kappa: 0.2918, kb_relative_information_score: 36.8676, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5175, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.5582, kappa: 0.3439, kb_relative_information_score: 42.6831, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.561, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4658, root_relative_squared_error: 1.1243, usercpu_time_millis: 0.772, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2923, kb_relative_information_score: 20.9001, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.2515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2923, kb_relative_information_score: 20.9001, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.2515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.3632, kappa: 0.048, kb_relative_information_score: 20.6933, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3942, predictive_accuracy: 0.434, prior_entropy: 1.8455, recall: 0.434, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.532, root_relative_squared_error: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2923, kb_relative_information_score: 20.9001, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.2515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6042, kappa: 0.4251, kb_relative_information_score: 49.5959, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.62, predictive_accuracy: 0.6321, prior_entropy: 1.8455, recall: 0.6321, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.644, kappa: 0.4701, kb_relative_information_score: 54.4978, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6514, predictive_accuracy: 0.6509, prior_entropy: 1.8455, recall: 0.6509, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4178, root_relative_squared_error: 1.0083, usercpu_time_millis: 321.184, usercpu_time_millis_testing: 3.827, usercpu_time_millis_training: 317.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.5216, kappa: 0.3008, kb_relative_information_score: 38.3407, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5186, predictive_accuracy: 0.5566, prior_entropy: 1.8455, recall: 0.5566, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.1365, usercpu_time_millis: 37.654, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 37.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, f_measure: 0.5156, kappa: 0.2681, kb_relative_information_score: 36.956, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5429, predictive_accuracy: 0.5377, prior_entropy: 1.8455, recall: 0.5377, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.1604, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.5007, kappa: 0.2827, kb_relative_information_score: 36.2926, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.503, predictive_accuracy: 0.5, prior_entropy: 1.8455, recall: 0.5, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5, root_relative_squared_error: 1.2068, usercpu_time_millis: 0.293, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.1465, kappa: 0.0128, kb_relative_information_score: 3.0155, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.1998, predictive_accuracy: 0.2453, prior_entropy: 1.8455, recall: 0.2453, relative_absolute_error: 1.0956, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.4827, usercpu_time_millis: 1.398, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.5452, kappa: 0.3354, kb_relative_information_score: 41.1908, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5443, predictive_accuracy: 0.5566, prior_entropy: 1.8455, recall: 0.5566, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.1365, usercpu_time_millis: 0.154, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.54, kappa: 0.3401, kb_relative_information_score: 39.1025, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5278, predictive_accuracy: 0.5566, prior_entropy: 1.8455, recall: 0.5566, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.1365, usercpu_time_millis: 0.161, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2923, kb_relative_information_score: 20.9001, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.2515, usercpu_time_millis: 0.114, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.5456, kappa: 0.3336, kb_relative_information_score: 41.1138, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5464, predictive_accuracy: 0.5566, prior_entropy: 1.8455, recall: 0.5566, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.1365, usercpu_time_millis: 7.987, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 7.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.6132, kappa: 0.4458, kb_relative_information_score: 51.7133, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6352, predictive_accuracy: 0.6415, prior_entropy: 1.8455, recall: 0.6415, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.0219, usercpu_time_millis: 6.264, usercpu_time_millis_testing: 1.76, usercpu_time_millis_training: 4.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.5982, kappa: 0.4071, kb_relative_information_score: 49.0365, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6205, predictive_accuracy: 0.6226, prior_entropy: 1.8455, recall: 0.6226, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.0484, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.6009, kappa: 0.4291, kb_relative_information_score: 50.3065, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6239, predictive_accuracy: 0.6321, prior_entropy: 1.8455, recall: 0.6321, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0352, usercpu_time_millis: 1.307, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.5212, kappa: 0.3055, kb_relative_information_score: 37.6773, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5242, predictive_accuracy: 0.5189, prior_entropy: 1.8455, recall: 0.5189, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.1838, usercpu_time_millis: 1.354, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.5579, kappa: 0.3302, kb_relative_information_score: 42.8748, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5864, predictive_accuracy: 0.5755, prior_entropy: 1.8455, recall: 0.5755, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.112, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2923, kb_relative_information_score: 20.9001, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.2515, usercpu_time_millis: 3.192, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 2.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.3795, kappa: 0.0826, kb_relative_information_score: 20.6561, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3661, predictive_accuracy: 0.4245, prior_entropy: 1.8455, recall: 0.4245, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.2947, usercpu_time_millis: 1.126, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2923, kb_relative_information_score: 20.9001, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.2515, usercpu_time_millis: 0.055, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.5323, kappa: 0.3158, kb_relative_information_score: 38.6422, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5294, predictive_accuracy: 0.5377, prior_entropy: 1.8455, recall: 0.5377, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.1604, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6325, kappa: 0.4679, kb_relative_information_score: 53.8269, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6335, predictive_accuracy: 0.6415, prior_entropy: 1.8455, recall: 0.6415, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.0219, usercpu_time_millis: 0.25, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.3632, kappa: 0.048, kb_relative_information_score: 20.6933, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3942, predictive_accuracy: 0.434, prior_entropy: 1.8455, recall: 0.434, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.532, root_relative_squared_error: 1.284, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.5195, kappa: 0.2799, kb_relative_information_score: 37.5863, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5261, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.1722, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.5351, kappa: 0.3169, kb_relative_information_score: 39.9945, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5341, predictive_accuracy: 0.5377, prior_entropy: 1.8455, recall: 0.5377, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.1604, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.5161, kappa: 0.2876, kb_relative_information_score: 36.9188, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5145, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.1722, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.5189, kappa: 0.2883, kb_relative_information_score: 36.893, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5196, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.1722, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.5385, kappa: 0.3253, kb_relative_information_score: 40.0236, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5482, predictive_accuracy: 0.5472, prior_entropy: 1.8455, recall: 0.5472, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.1485, usercpu_time_millis: 0.036, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.5158, kappa: 0.285, kb_relative_information_score: 36.9188, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5169, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.1722, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.5326, kappa: 0.3121, kb_relative_information_score: 39.4383, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5314, predictive_accuracy: 0.5377, prior_entropy: 1.8455, recall: 0.5377, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.1604, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 1.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.4971, kappa: 0.2407, kb_relative_information_score: 34.9931, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5293, predictive_accuracy: 0.5283, prior_entropy: 1.8455, recall: 0.5283, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.1722, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.496, kappa: 0.2574, kb_relative_information_score: 34.5806, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.4982, predictive_accuracy: 0.5, prior_entropy: 1.8455, recall: 0.5, relative_absolute_error: 0.7258, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5, root_relative_squared_error: 1.2068, usercpu_time_millis: 1.498, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.4558, kappa: 0.1819, kb_relative_information_score: 31.6864, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5396, predictive_accuracy: 0.5189, prior_entropy: 1.8455, recall: 0.5189, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.1838, usercpu_time_millis: 0.418, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.379,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.618, kappa: 0.4355, kb_relative_information_score: 51.6072, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6294, predictive_accuracy: 0.6321, prior_entropy: 1.8455, recall: 0.6321, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0352, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.4983, kappa: 0.2689, kb_relative_information_score: 37.4422, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.4938, predictive_accuracy: 0.5566, prior_entropy: 1.8455, recall: 0.5566, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.1365, usercpu_time_millis: 7.101, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 6.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.3828, kappa: 0.0839, kb_relative_information_score: 21.6463, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3667, predictive_accuracy: 0.4434, prior_entropy: 1.8455, recall: 0.4434, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.2733, usercpu_time_millis: 0.479, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.5649, kappa: 0.3663, kb_relative_information_score: 44.1378, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.5642, predictive_accuracy: 0.566, prior_entropy: 1.8455, recall: 0.566, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4658, root_relative_squared_error: 1.1243, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3057, kappa: 0.006, kb_relative_information_score: 20.1265, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.267, predictive_accuracy: 0.4528, prior_entropy: 1.8455, recall: 0.4528, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.2625, usercpu_time_millis: 0.724, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3057, kappa: 0.006, kb_relative_information_score: 20.1265, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.267, predictive_accuracy: 0.4528, prior_entropy: 1.8455, recall: 0.4528, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.2625, usercpu_time_millis: 1.268, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.2923, kb_relative_information_score: 2.9337, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.2923, kb_relative_information_score: 2.9337, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.2923, kb_relative_information_score: 2.9337, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.2923, kb_relative_information_score: 2.9337, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.2923, kb_relative_information_score: 2.9337, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3828, kappa: 0.0839, kb_relative_information_score: 20.0611, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3667, predictive_accuracy: 0.4434, prior_entropy: 1.8455, recall: 0.4434, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3828, kappa: 0.0839, kb_relative_information_score: 20.0611, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3667, predictive_accuracy: 0.4434, prior_entropy: 1.8455, recall: 0.4434, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3828, kappa: 0.0839, kb_relative_information_score: 20.0611, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3667, predictive_accuracy: 0.4434, prior_entropy: 1.8455, recall: 0.4434, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.2923, kb_relative_information_score: 2.9337, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.2923, kb_relative_information_score: 2.9337, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.2137, predictive_accuracy: 0.4623, prior_entropy: 1.8455, recall: 0.4623, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3828, kappa: 0.0839, kb_relative_information_score: 20.0611, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3667, predictive_accuracy: 0.4434, prior_entropy: 1.8455, recall: 0.4434, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3828, kappa: 0.0839, kb_relative_information_score: 20.0611, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3667, predictive_accuracy: 0.4434, prior_entropy: 1.8455, recall: 0.4434, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3828, kappa: 0.0839, kb_relative_information_score: 20.0611, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.3667, predictive_accuracy: 0.4434, prior_entropy: 1.8455, recall: 0.4434, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.644, kappa: 0.4701, kb_relative_information_score: 34.4449, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6514, predictive_accuracy: 0.6509, prior_entropy: 1.8455, recall: 0.6509, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.361, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.4983, kappa: 0.2689, kb_relative_information_score: 25.5788, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.4938, predictive_accuracy: 0.5566, prior_entropy: 1.8455, recall: 0.5566, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.644, kappa: 0.4701, kb_relative_information_score: 34.4449, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.3444, number_of_instances: 106, precision: 0.6514, predictive_accuracy: 0.6509, prior_entropy: 1.8455, recall: 0.6509, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.361, root_relative_squared_error: 0.8713,

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