Task
Supervised Classification on autoUniv-au7-500

Supervised Classification on autoUniv-au7-500

Task 9903 Supervised Classification autoUniv-au7-500 573 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.3307, kappa: 0.1147, kb_relative_information_score: 68.6588, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3979, predictive_accuracy: 0.396, prior_entropy: 2.1516, recall: 0.396, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.3818, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.3616, kappa: 0.1457, kb_relative_information_score: 121.8611, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3772, predictive_accuracy: 0.422, prior_entropy: 2.1516, recall: 0.422, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.2735, kappa: 0.0563, kb_relative_information_score: 32.5413, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2175, predictive_accuracy: 0.372, prior_entropy: 2.1516, recall: 0.372, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.3307, kappa: 0.1147, kb_relative_information_score: 68.6588, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3979, predictive_accuracy: 0.396, prior_entropy: 2.1516, recall: 0.396, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.2735, kappa: 0.0563, kb_relative_information_score: 32.5413, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2175, predictive_accuracy: 0.372, prior_entropy: 2.1516, recall: 0.372, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.3616, kappa: 0.1457, kb_relative_information_score: 121.8611, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3772, predictive_accuracy: 0.422, prior_entropy: 2.1516, recall: 0.422, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.3818, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.3817, kappa: 0.2044, kb_relative_information_score: 79.7811, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3509, predictive_accuracy: 0.452, prior_entropy: 2.1516, recall: 0.452, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.4588, kappa: 0.3084, kb_relative_information_score: 136.0567, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.448, predictive_accuracy: 0.506, prior_entropy: 2.1516, recall: 0.506, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.4825, kappa: 0.32, kb_relative_information_score: 144.1323, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4722, predictive_accuracy: 0.512, prior_entropy: 2.1516, recall: 0.512, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.4681, kappa: 0.3277, kb_relative_information_score: 138.6189, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4659, predictive_accuracy: 0.526, prior_entropy: 2.1516, recall: 0.526, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.4881, kappa: 0.3425, kb_relative_information_score: 145.9844, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4717, predictive_accuracy: 0.53, prior_entropy: 2.1516, recall: 0.53, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.4957, kappa: 0.332, kb_relative_information_score: 155.6212, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4889, predictive_accuracy: 0.512, prior_entropy: 2.1516, recall: 0.512, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3495, kappa: 0.1872, kb_relative_information_score: 70.1288, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3081, predictive_accuracy: 0.448, prior_entropy: 2.1516, recall: 0.448, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.3307, kappa: 0.1147, kb_relative_information_score: 68.6588, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3979, predictive_accuracy: 0.396, prior_entropy: 2.1516, recall: 0.396, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.3232, kappa: 0.1016, kb_relative_information_score: 66.0485, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.351, predictive_accuracy: 0.388, prior_entropy: 2.1516, recall: 0.388, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.4839, kappa: 0.3215, kb_relative_information_score: 168.1166, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4768, predictive_accuracy: 0.5, prior_entropy: 2.1516, recall: 0.5, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.0417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.3634, kappa: 0.1943, kb_relative_information_score: 93.596, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3623, predictive_accuracy: 0.446, prior_entropy: 2.1516, recall: 0.446, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.3282, kappa: 0.0929, kb_relative_information_score: 89.744, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3154, predictive_accuracy: 0.356, prior_entropy: 2.1516, recall: 0.356, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.3117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.4324, kappa: 0.2427, kb_relative_information_score: 146.686, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4311, predictive_accuracy: 0.434, prior_entropy: 2.1516, recall: 0.434, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.5209, kappa: 0.3706, kb_relative_information_score: 182.508, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5225, predictive_accuracy: 0.544, prior_entropy: 2.1516, recall: 0.544, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.4175, kappa: 0.222, kb_relative_information_score: 139.0191, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4193, predictive_accuracy: 0.416, prior_entropy: 2.1516, recall: 0.416, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.0875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.3148, kappa: 0.0747, kb_relative_information_score: 80.0766, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3103, predictive_accuracy: 0.326, prior_entropy: 2.1516, recall: 0.326, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.2259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.4863, kappa: 0.3289, kb_relative_information_score: 114.0293, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4828, predictive_accuracy: 0.526, prior_entropy: 2.1516, recall: 0.526, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.9171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.4826, kappa: 0.3076, kb_relative_information_score: 175.2944, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4777, predictive_accuracy: 0.492, prior_entropy: 2.1516, recall: 0.492, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.0654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.4512, kappa: 0.2648, kb_relative_information_score: 124.4388, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4479, predictive_accuracy: 0.46, prior_entropy: 2.1516, recall: 0.46, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.4575, kappa: 0.2848, kb_relative_information_score: 142.7926, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4496, predictive_accuracy: 0.48, prior_entropy: 2.1516, recall: 0.48, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.3818, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2131, kb_relative_information_score: 33.4906, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.3379, kappa: 0.145, kb_relative_information_score: 74.9395, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3411, predictive_accuracy: 0.416, prior_entropy: 2.1516, recall: 0.416, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.3499, kappa: 0.1466, kb_relative_information_score: 69.3422, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3575, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.2807, kappa: 0.0691, kb_relative_information_score: 30.9414, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2359, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.4056, kappa: 0.2063, kb_relative_information_score: 126.9784, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4075, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.2126, kappa: -0.0019, kb_relative_information_score: 84.3156, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1473, predictive_accuracy: 0.382, prior_entropy: 2.1516, recall: 0.382, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.5071, kappa: 0.362, kb_relative_information_score: 158.6435, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5372, predictive_accuracy: 0.54, prior_entropy: 2.1516, recall: 0.54, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.3873, kappa: 0.1811, kb_relative_information_score: 112.7139, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3911, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.2829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.3284, kappa: 0.1376, kb_relative_information_score: 58.4088, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3293, predictive_accuracy: 0.414, prior_entropy: 2.1516, recall: 0.414, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.3442, kappa: 0.1629, kb_relative_information_score: 63.5147, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.323, predictive_accuracy: 0.426, prior_entropy: 2.1516, recall: 0.426, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.2679, kappa: 0.0379, kb_relative_information_score: 52.3627, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2656, predictive_accuracy: 0.362, prior_entropy: 2.1516, recall: 0.362, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.383, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.3825, kappa: 0.172, kb_relative_information_score: 88.9212, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3765, predictive_accuracy: 0.412, prior_entropy: 2.1516, recall: 0.412, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.0385, kappa: -0.0088, kb_relative_information_score: 14.1175, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.0947, predictive_accuracy: 0.088, prior_entropy: 2.1516, recall: 0.088, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3999, root_relative_squared_error: 1.0336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.2131, kb_relative_information_score: 0.3818, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.3307, kappa: 0.1147, kb_relative_information_score: 68.6588, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3979, predictive_accuracy: 0.396, prior_entropy: 2.1516, recall: 0.396, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.4134, kappa: 0.2219, kb_relative_information_score: 138.1396, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4086, predictive_accuracy: 0.43, prior_entropy: 2.1516, recall: 0.43, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.0765, kappa: 0.0006, kb_relative_information_score: -20.6723, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3027, predictive_accuracy: 0.106, prior_entropy: 2.1516, recall: 0.106, relative_absolute_error: 1.1935, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.598, root_relative_squared_error: 1.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.4323, kappa: 0.2851, kb_relative_information_score: 173.5258, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.387, predictive_accuracy: 0.496, prior_entropy: 2.1516, recall: 0.496, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.4249, kappa: 0.2346, kb_relative_information_score: 140.0312, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.422, predictive_accuracy: 0.43, prior_entropy: 2.1516, recall: 0.43, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4435, root_relative_squared_error: 1.1462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.421, kappa: 0.2482, kb_relative_information_score: 41.7211, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4438, predictive_accuracy: 0.5, prior_entropy: 2.1516, recall: 0.5, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.5083, kappa: 0.3558, kb_relative_information_score: 176.0784, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5151, predictive_accuracy: 0.536, prior_entropy: 2.1516, recall: 0.536, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.4056, kappa: 0.2063, kb_relative_information_score: 126.2222, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4075, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.5212, kappa: 0.3636, kb_relative_information_score: 184.4587, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.5145, predictive_accuracy: 0.534, prior_entropy: 2.1516, recall: 0.534, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.4675, kappa: 0.2949, kb_relative_information_score: 95.1633, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4772, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.4969, kappa: 0.331, kb_relative_information_score: 156.508, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4908, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.4098, kappa: 0.2092, kb_relative_information_score: 92.5179, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4231, predictive_accuracy: 0.458, prior_entropy: 2.1516, recall: 0.458, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9629,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.3102, kappa: 0.0965, kb_relative_information_score: 52.0939, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3806, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.2131, kb_relative_information_score: 45.3526, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4026, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.2279, kappa: 0.0097, kb_relative_information_score: 26.1696, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2214, predictive_accuracy: 0.386, prior_entropy: 2.1516, recall: 0.386, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.5212, kappa: 0.3852, kb_relative_information_score: 162.8025, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.528, predictive_accuracy: 0.56, prior_entropy: 2.1516, recall: 0.56, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.9103,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.2802, kappa: 0.0584, kb_relative_information_score: 44.4923, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2582, predictive_accuracy: 0.404, prior_entropy: 2.1516, recall: 0.404, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.4612, kappa: 0.322, kb_relative_information_score: 132.7554, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4296, predictive_accuracy: 0.514, prior_entropy: 2.1516, recall: 0.514, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.3155, kappa: 0.1293, kb_relative_information_score: 47.9227, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2571, predictive_accuracy: 0.43, prior_entropy: 2.1516, recall: 0.43, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.2126, kappa: -0.0019, kb_relative_information_score: 84.3156, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1473, predictive_accuracy: 0.382, prior_entropy: 2.1516, recall: 0.382, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.4883, kappa: 0.3458, kb_relative_information_score: 160.3638, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.477, predictive_accuracy: 0.536, prior_entropy: 2.1516, recall: 0.536, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.491, kappa: 0.3219, kb_relative_information_score: 169.1311, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4871, predictive_accuracy: 0.496, prior_entropy: 2.1516, recall: 0.496, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.1056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.486, kappa: 0.352, kb_relative_information_score: 154.3135, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4812, predictive_accuracy: 0.542, prior_entropy: 2.1516, recall: 0.542, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.8965,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.4556, kappa: 0.3162, kb_relative_information_score: 124.0405, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.428, predictive_accuracy: 0.512, prior_entropy: 2.1516, recall: 0.512, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.9245,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.4951, kappa: 0.3329, kb_relative_information_score: 174.465, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4889, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.049,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3458, kappa: 0.1594, kb_relative_information_score: 66.1048, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3073, predictive_accuracy: 0.42, prior_entropy: 2.1516, recall: 0.42, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.384, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.3371, kappa: 0.1487, kb_relative_information_score: 115.6872, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2933, predictive_accuracy: 0.412, prior_entropy: 2.1516, recall: 0.412, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.485, root_relative_squared_error: 1.2534,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.3621, kappa: 0.1698, kb_relative_information_score: 98.0541, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3289, predictive_accuracy: 0.42, prior_entropy: 2.1516, recall: 0.42, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.3502, kappa: 0.1405, kb_relative_information_score: 68.0211, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3658, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9883, scimark_benchmark: 1254.1389, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.4951, kappa: 0.3329, kb_relative_information_score: 174.465, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4889, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.049, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2131, kb_relative_information_score: 85.2834, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.2829, usercpu_time_millis: 1.656, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.4199, kappa: 0.2543, kb_relative_information_score: 157.703, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4227, predictive_accuracy: 0.488, prior_entropy: 2.1516, recall: 0.488, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.1696, usercpu_time_millis: 76.111, usercpu_time_millis_testing: 3.034, usercpu_time_millis_training: 73.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.3833, kappa: 0.1765, kb_relative_information_score: 113.0686, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3784, predictive_accuracy: 0.39, prior_entropy: 2.1516, recall: 0.39, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.494, root_relative_squared_error: 1.2766, usercpu_time_millis: 0.236, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.4249, kappa: 0.2346, kb_relative_information_score: 141.1179, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.422, predictive_accuracy: 0.43, prior_entropy: 2.1516, recall: 0.43, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.2341, usercpu_time_millis: 3.901, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 2.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.4518, kappa: 0.2985, kb_relative_information_score: 168.4435, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.445, predictive_accuracy: 0.5, prior_entropy: 2.1516, recall: 0.5, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1558, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.3501, kappa: 0.1421, kb_relative_information_score: 114.016, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3646, predictive_accuracy: 0.402, prior_entropy: 2.1516, recall: 0.402, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.264, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.568, f_measure: 0.3502, kappa: 0.1405, kb_relative_information_score: 115.2221, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3658, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4874, root_relative_squared_error: 1.2598, usercpu_time_millis: 1.115, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.4402, kappa: 0.2612, kb_relative_information_score: 161.4813, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4484, predictive_accuracy: 0.49, prior_entropy: 2.1516, recall: 0.49, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.1673, usercpu_time_millis: 7.802, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 7.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.4315, kappa: 0.2392, kb_relative_information_score: 143.5728, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4289, predictive_accuracy: 0.44, prior_entropy: 2.1516, recall: 0.44, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.2232, usercpu_time_millis: 22.132, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 21.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.4087, kappa: 0.2219, kb_relative_information_score: 154.2513, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4373, predictive_accuracy: 0.488, prior_entropy: 2.1516, recall: 0.488, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.1696, usercpu_time_millis: 3.699, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 2.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5359, f_measure: 0.2872, kappa: 0.0759, kb_relative_information_score: 99.7165, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.235, predictive_accuracy: 0.398, prior_entropy: 2.1516, recall: 0.398, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.2682, usercpu_time_millis: 1.341, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.4037, kappa: 0.2073, kb_relative_information_score: 131.4953, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3908, predictive_accuracy: 0.43, prior_entropy: 2.1516, recall: 0.43, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.2341, usercpu_time_millis: 2.499, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 2.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.4158, kappa: 0.2203, kb_relative_information_score: 135.0838, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4091, predictive_accuracy: 0.432, prior_entropy: 2.1516, recall: 0.432, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.2319, usercpu_time_millis: 0.356, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.5009, kappa: 0.3571, kb_relative_information_score: 195.9332, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4966, predictive_accuracy: 0.546, prior_entropy: 2.1516, recall: 0.546, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.1014, usercpu_time_millis: 387.379, usercpu_time_millis_testing: 10.529, usercpu_time_millis_training: 376.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.2445, kappa: 0.0315, kb_relative_information_score: 92.8409, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.2288, predictive_accuracy: 0.396, prior_entropy: 2.1516, recall: 0.396, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.2703, usercpu_time_millis: 1.803, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.3223, kappa: 0.1158, kb_relative_information_score: 109.2896, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3935, predictive_accuracy: 0.406, prior_entropy: 2.1516, recall: 0.406, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4874, root_relative_squared_error: 1.2598, usercpu_time_millis: 2.671, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 1.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.4951, kappa: 0.3329, kb_relative_information_score: 184.2418, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.4889, predictive_accuracy: 0.508, prior_entropy: 2.1516, recall: 0.508, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4436, root_relative_squared_error: 1.1465, usercpu_time_millis: 3.238, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 2.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2131, kb_relative_information_score: 85.2834, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.1475, predictive_accuracy: 0.384, prior_entropy: 2.1516, recall: 0.384, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.2829, usercpu_time_millis: 0.452, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.328,

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

OpenML bootcamp

From your own software

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

OpenML APIs