OpenML
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14968 Supervised Classification cylinder-bands 12489 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7185, kappa: 0.4231, kb_relative_information_score: 213.6866, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7185, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6955, kappa: 0.3728, kb_relative_information_score: 162.4865, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6954, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7353, kappa: 0.4576, kb_relative_information_score: 221.5369, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7353, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.6846, kappa: 0.3525, kb_relative_information_score: 173.8149, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6842, predictive_accuracy: 0.6852, prior_entropy: 0.9826, recall: 0.6852, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7116, kappa: 0.4057, kb_relative_information_score: 175.8819, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7124, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7134, kappa: 0.4106, kb_relative_information_score: 198.6952, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.713, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.448, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7234, kappa: 0.4302, kb_relative_information_score: 207.0419, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7238, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.6952, kappa: 0.3721, kb_relative_information_score: 164.6514, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6953, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7142, kappa: 0.4113, kb_relative_information_score: 184.0035, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7144, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7276, kappa: 0.4392, kb_relative_information_score: 212.5147, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7277, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7154, kappa: 0.4148, kb_relative_information_score: 199.5002, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.715, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7053, kappa: 0.3954, kb_relative_information_score: 193.8035, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7051, predictive_accuracy: 0.7056, prior_entropy: 0.9826, recall: 0.7056, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7354, kappa: 0.4582, kb_relative_information_score: 243.5456, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7357, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7358, kappa: 0.4601, kb_relative_information_score: 242.7611, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7368, predictive_accuracy: 0.7352, prior_entropy: 0.9826, recall: 0.7352, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.736, kappa: 0.4572, kb_relative_information_score: 230.2429, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7356, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.571, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.6994, kappa: 0.3829, kb_relative_information_score: 192.6513, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.699, predictive_accuracy: 0.7, prior_entropy: 0.9826, recall: 0.7, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.718, kappa: 0.421, kb_relative_information_score: 212.5508, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7176, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6898, kappa: 0.3628, kb_relative_information_score: 180.5159, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6893, predictive_accuracy: 0.6907, prior_entropy: 0.9826, recall: 0.6907, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7365, kappa: 0.4591, kb_relative_information_score: 217.543, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7362, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7272, kappa: 0.4397, kb_relative_information_score: 221.0414, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7268, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7512, kappa: 0.489, kb_relative_information_score: 246.6601, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7509, predictive_accuracy: 0.7519, prior_entropy: 0.9826, recall: 0.7519, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.6938, kappa: 0.3693, kb_relative_information_score: 162.842, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6936, predictive_accuracy: 0.6963, prior_entropy: 0.9826, recall: 0.6963, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7227, kappa: 0.4327, kb_relative_information_score: 229.5482, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7233, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7197, kappa: 0.4225, kb_relative_information_score: 191.8631, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.72, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.7179, kappa: 0.419, kb_relative_information_score: 180.7629, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7181, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7538, kappa: 0.4955, kb_relative_information_score: 255.0253, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7539, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6918, kappa: 0.3669, kb_relative_information_score: 177.7915, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6913, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.6838, kappa: 0.3529, kb_relative_information_score: 168.8867, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6843, predictive_accuracy: 0.6833, prior_entropy: 0.9826, recall: 0.6833, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7702, kappa: 0.5288, kb_relative_information_score: 280.4812, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7701, predictive_accuracy: 0.7704, prior_entropy: 0.9826, recall: 0.7704, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7199, kappa: 0.4252, kb_relative_information_score: 217.651, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7196, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7298, kappa: 0.4441, kb_relative_information_score: 216.7132, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7297, predictive_accuracy: 0.7315, prior_entropy: 0.9826, recall: 0.7315, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7373, kappa: 0.4623, kb_relative_information_score: 244.7831, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7377, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.6894, kappa: 0.3601, kb_relative_information_score: 160.9977, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6896, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7432, kappa: 0.4718, kb_relative_information_score: 232.6588, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.743, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7194, kappa: 0.4218, kb_relative_information_score: 179.361, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.72, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7366, kappa: 0.4575, kb_relative_information_score: 221.1289, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7371, predictive_accuracy: 0.7389, prior_entropy: 0.9826, recall: 0.7389, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4693, kb_relative_information_score: 243.1925, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7411, predictive_accuracy: 0.7407, prior_entropy: 0.9826, recall: 0.7407, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7369, kappa: 0.4604, kb_relative_information_score: 238.3522, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7367, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7413, kappa: 0.4711, kb_relative_information_score: 249.5046, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7422, predictive_accuracy: 0.7407, prior_entropy: 0.9826, recall: 0.7407, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7376, kappa: 0.4636, kb_relative_information_score: 244.3153, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7385, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7219, kappa: 0.4274, kb_relative_information_score: 205.1339, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.722, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7684, kappa: 0.5253, kb_relative_information_score: 266.6476, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7684, predictive_accuracy: 0.7685, prior_entropy: 0.9826, recall: 0.7685, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7261, kappa: 0.4364, kb_relative_information_score: 191.923, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7259, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.6958, kappa: 0.3736, kb_relative_information_score: 183.2627, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6956, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7477, kappa: 0.482, kb_relative_information_score: 243.5652, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7474, predictive_accuracy: 0.7481, prior_entropy: 0.9826, recall: 0.7481, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.6969, kappa: 0.3755, kb_relative_information_score: 162.7331, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6972, predictive_accuracy: 0.7, prior_entropy: 0.9826, recall: 0.7, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.698, kappa: 0.3785, kb_relative_information_score: 163.3064, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6977, predictive_accuracy: 0.7, prior_entropy: 0.9826, recall: 0.7, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.7151, kappa: 0.4127, kb_relative_information_score: 179.2361, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7162, predictive_accuracy: 0.7185, prior_entropy: 0.9826, recall: 0.7185, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7434, kappa: 0.4725, kb_relative_information_score: 246.1094, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7431, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7156, kappa: 0.4155, kb_relative_information_score: 201.9482, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7152, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7014, kappa: 0.3871, kb_relative_information_score: 188.5838, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.701, predictive_accuracy: 0.7019, prior_entropy: 0.9826, recall: 0.7019, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7197, kappa: 0.4245, kb_relative_information_score: 227.5978, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7194, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7269, kappa: 0.4372, kb_relative_information_score: 182.1073, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7276, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7205, kappa: 0.4272, kb_relative_information_score: 212.0788, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7205, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7447, kappa: 0.4774, kb_relative_information_score: 226.089, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7451, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7137, kappa: 0.4113, kb_relative_information_score: 200.1531, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7132, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.447, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7812, kappa: 0.5511, kb_relative_information_score: 272.1632, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.781, predictive_accuracy: 0.7815, prior_entropy: 0.9826, recall: 0.7815, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7298, kappa: 0.4465, kb_relative_information_score: 233.156, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.73, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7225, kappa: 0.432, kb_relative_information_score: 225.4785, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7229, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7446, kappa: 0.4768, kb_relative_information_score: 229.7329, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7448, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7106, kappa: 0.4058, kb_relative_information_score: 217.7715, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7102, predictive_accuracy: 0.7111, prior_entropy: 0.9826, recall: 0.7111, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7194, kappa: 0.4218, kb_relative_information_score: 178.8496, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.72, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.7178, kappa: 0.4251, kb_relative_information_score: 229.2326, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7203, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7262, kappa: 0.4396, kb_relative_information_score: 215.8907, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7266, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7107, kappa: 0.4043, kb_relative_information_score: 181.5509, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7107, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.692, kappa: 0.3659, kb_relative_information_score: 157.0773, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6918, predictive_accuracy: 0.6944, prior_entropy: 0.9826, recall: 0.6944, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7535, kappa: 0.4943, kb_relative_information_score: 254.0952, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7533, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7365, kappa: 0.4591, kb_relative_information_score: 212.3584, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7362, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6983, kappa: 0.3783, kb_relative_information_score: 157.3723, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.699, predictive_accuracy: 0.7019, prior_entropy: 0.9826, recall: 0.7019, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7285, kappa: 0.4457, kb_relative_information_score: 219.7548, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7299, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.734, kappa: 0.4566, kb_relative_information_score: 220.4005, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7352, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.6955, kappa: 0.3728, kb_relative_information_score: 167.4159, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6954, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7283, kappa: 0.4444, kb_relative_information_score: 226.0614, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7291, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.757, kappa: 0.5013, kb_relative_information_score: 263.863, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7568, predictive_accuracy: 0.7574, prior_entropy: 0.9826, recall: 0.7574, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.6913, kappa: 0.3654, kb_relative_information_score: 168.2616, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6908, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7249, kappa: 0.433, kb_relative_information_score: 212.1705, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7257, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.7197, kappa: 0.4225, kb_relative_information_score: 190.5482, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.72, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7254, kappa: 0.4344, kb_relative_information_score: 210.3284, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7257, predictive_accuracy: 0.7278, prior_entropy: 0.9826, recall: 0.7278, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7441, kappa: 0.475, kb_relative_information_score: 249.4467, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7439, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.7667, kappa: 0.5218, kb_relative_information_score: 281.0051, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7667, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.6888, kappa: 0.3586, kb_relative_information_score: 163.9821, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6894, predictive_accuracy: 0.6926, prior_entropy: 0.9826, recall: 0.6926, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7311, kappa: 0.4462, kb_relative_information_score: 219.0059, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7314, predictive_accuracy: 0.7333, prior_entropy: 0.9826, recall: 0.7333, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7269, kappa: 0.4372, kb_relative_information_score: 213.8063, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7276, predictive_accuracy: 0.7296, prior_entropy: 0.9826, recall: 0.7296, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7367, kappa: 0.4598, kb_relative_information_score: 234.1897, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7365, predictive_accuracy: 0.737, prior_entropy: 0.9826, recall: 0.737, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7214, kappa: 0.426, kb_relative_information_score: 204.7615, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7219, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7238, kappa: 0.4335, kb_relative_information_score: 223.1604, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7236, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7093, kappa: 0.4007, kb_relative_information_score: 183.0755, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7105, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7134, kappa: 0.4106, kb_relative_information_score: 202.2827, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.713, predictive_accuracy: 0.7148, prior_entropy: 0.9826, recall: 0.7148, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7385, kappa: 0.4632, kb_relative_information_score: 235.5945, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7382, predictive_accuracy: 0.7389, prior_entropy: 0.9826, recall: 0.7389, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7227, kappa: 0.4327, kb_relative_information_score: 228.1721, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7233, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7259, kappa: 0.4383, kb_relative_information_score: 227.3898, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7259, predictive_accuracy: 0.7259, prior_entropy: 0.9826, recall: 0.7259, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.753, kappa: 0.4925, kb_relative_information_score: 255.7559, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7527, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7436, kappa: 0.4731, kb_relative_information_score: 222.1174, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7433, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7208, kappa: 0.4286, kb_relative_information_score: 227.494, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7213, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7224, kappa: 0.4313, kb_relative_information_score: 214.4758, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7226, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.702, kappa: 0.3869, kb_relative_information_score: 183.3437, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7016, predictive_accuracy: 0.7037, prior_entropy: 0.9826, recall: 0.7037, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7618, kappa: 0.5101, kb_relative_information_score: 267.2544, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7617, predictive_accuracy: 0.763, prior_entropy: 0.9826, recall: 0.763, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7321, kappa: 0.4526, kb_relative_information_score: 239.3634, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7332, predictive_accuracy: 0.7315, prior_entropy: 0.9826, recall: 0.7315, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7167, kappa: 0.4196, kb_relative_information_score: 212.5056, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7168, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7533, kappa: 0.4937, kb_relative_information_score: 246.5804, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7531, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9132,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs