Task
Supervised Classification on blogger

Supervised Classification on blogger

Task 10094 Supervised Classification blogger 340 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8588, kappa: 0.6729, kb_relative_information_score: 61.1967, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8583, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.6206, kappa: 0.1003, kb_relative_information_score: 4.9953, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.6245, predictive_accuracy: 0.67, prior_entropy: 0.9082, recall: 0.67, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.833, kappa: 0.6063, kb_relative_information_score: 44.6902, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8393, predictive_accuracy: 0.84, prior_entropy: 0.9082, recall: 0.84, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.7205, kappa: 0.3367, kb_relative_information_score: 36.8342, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7265, predictive_accuracy: 0.74, prior_entropy: 0.9082, recall: 0.74, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8506, kappa: 0.6582, kb_relative_information_score: 54.9761, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8514, predictive_accuracy: 0.85, prior_entropy: 0.9082, recall: 0.85, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7175, kappa: 0.3458, kb_relative_information_score: 29.8168, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7156, predictive_accuracy: 0.72, prior_entropy: 0.9082, recall: 0.72, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7793, kappa: 0.4786, kb_relative_information_score: 33.956, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7841, predictive_accuracy: 0.79, prior_entropy: 0.9082, recall: 0.79, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7147, kappa: 0.3346, kb_relative_information_score: 23.3268, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7117, predictive_accuracy: 0.72, prior_entropy: 0.9082, recall: 0.72, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.6816, kappa: 0.2441, kb_relative_information_score: 21.4296, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7039, predictive_accuracy: 0.72, prior_entropy: 0.9082, recall: 0.72, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 31.8322, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.6026, kappa: 0.0828, kb_relative_information_score: 2.675, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.6644, predictive_accuracy: 0.69, prior_entropy: 0.9082, recall: 0.69, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7438, kappa: 0.4008, kb_relative_information_score: 34.0837, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7418, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7683, kappa: 0.4491, kb_relative_information_score: 31.6571, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7961, predictive_accuracy: 0.79, prior_entropy: 0.9082, recall: 0.79, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8351, kappa: 0.6132, kb_relative_information_score: 52.2415, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8374, predictive_accuracy: 0.84, prior_entropy: 0.9082, recall: 0.84, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.746, kappa: 0.3988, kb_relative_information_score: 31.8491, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.75, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8652, kappa: 0.6829, kb_relative_information_score: 50.4085, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8709, predictive_accuracy: 0.87, prior_entropy: 0.9082, recall: 0.87, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.32, root_relative_squared_error: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 33.7583, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6821, kappa: 0.2492, kb_relative_information_score: 27.39, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7294, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7205, kappa: 0.3367, kb_relative_information_score: 23.7932, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7265, predictive_accuracy: 0.74, prior_entropy: 0.9082, recall: 0.74, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4632, f_measure: 0.5505, kb_relative_information_score: -0.3227, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.4624, predictive_accuracy: 0.68, prior_entropy: 0.9082, recall: 0.68, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4669, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7595, kappa: 0.4283, kb_relative_information_score: 32.5414, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.9082, recall: 0.78, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7271, kappa: 0.3521, kb_relative_information_score: 17.0979, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7654, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4632, f_measure: 0.5505, kb_relative_information_score: -0.3227, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.4624, predictive_accuracy: 0.68, prior_entropy: 0.9082, recall: 0.68, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4669, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.7271, kappa: 0.3521, kb_relative_information_score: 25.8044, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7654, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4632, f_measure: 0.5505, kb_relative_information_score: 0.21, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.4624, predictive_accuracy: 0.68, prior_entropy: 0.9082, recall: 0.68, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4669, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.7043, kappa: 0.2981, kb_relative_information_score: 21.6963, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7346, predictive_accuracy: 0.74, prior_entropy: 0.9082, recall: 0.74, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.742, kappa: 0.3878, kb_relative_information_score: 30.633, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.751, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.729, kappa: 0.3563, kb_relative_information_score: 23.9946, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7394, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.729, kappa: 0.3563, kb_relative_information_score: 23.9946, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7394, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.6962, kappa: 0.2781, kb_relative_information_score: 25.4276, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7173, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7287, kappa: 0.3602, kb_relative_information_score: 29.2394, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7279, predictive_accuracy: 0.74, prior_entropy: 0.9082, recall: 0.74, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.7242, kappa: 0.3442, kb_relative_information_score: 39.2478, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.742, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.729, kappa: 0.3563, kb_relative_information_score: 23.9946, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7394, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5505, kb_relative_information_score: 22.3529, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.4624, predictive_accuracy: 0.68, prior_entropy: 0.9082, recall: 0.68, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.7507, kappa: 0.4078, kb_relative_information_score: 44.0748, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7647, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.742, kappa: 0.3878, kb_relative_information_score: 30.633, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.751, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8351, kappa: 0.6132, kb_relative_information_score: 52.0652, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8374, predictive_accuracy: 0.84, prior_entropy: 0.9082, recall: 0.84, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.7105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7376, kappa: 0.3763, kb_relative_information_score: 23.9866, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7536, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.8494, kappa: 0.6525, kb_relative_information_score: 46.3948, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8489, predictive_accuracy: 0.85, prior_entropy: 0.9082, recall: 0.85, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.8412, kappa: 0.6383, kb_relative_information_score: 56.0658, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8432, predictive_accuracy: 0.84, prior_entropy: 0.9082, recall: 0.84, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8277, kappa: 0.5994, kb_relative_information_score: 58.5561, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.827, predictive_accuracy: 0.83, prior_entropy: 0.9082, recall: 0.83, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8839, usercpu_time_millis: 208.453, usercpu_time_millis_testing: 3.634, usercpu_time_millis_training: 204.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.6962, kappa: 0.2781, kb_relative_information_score: 34.4207, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7173, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1139, usercpu_time_millis: 3.843, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 3.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5899, kappa: 0.044, kb_relative_information_score: 19.9394, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.6051, predictive_accuracy: 0.67, prior_entropy: 0.9082, recall: 0.67, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8694, kappa: 0.6988, kb_relative_information_score: 68.2103, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8691, predictive_accuracy: 0.87, prior_entropy: 0.9082, recall: 0.87, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7672, kappa: 0.4489, kb_relative_information_score: 46.4884, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7732, predictive_accuracy: 0.78, prior_entropy: 0.9082, recall: 0.78, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5505, kb_relative_information_score: 22.3529, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.4624, predictive_accuracy: 0.68, prior_entropy: 0.9082, recall: 0.68, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.6895, kappa: 0.2639, kb_relative_information_score: 34.4207, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7218, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1139, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.7242, kappa: 0.3442, kb_relative_information_score: 39.2478, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.742, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0718, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8573, kappa: 0.6673, kb_relative_information_score: 65.7968, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8579, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.8021, usercpu_time_millis: 4.852, usercpu_time_millis_testing: 1.475, usercpu_time_millis_training: 3.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7583, kappa: 0.429, kb_relative_information_score: 44.0748, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7613, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0281, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 1.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.8145, kappa: 0.5648, kb_relative_information_score: 56.1426, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8159, predictive_accuracy: 0.82, prior_entropy: 0.9082, recall: 0.82, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9095, usercpu_time_millis: 3.118, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 3.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 39.2478, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0718, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 39.2478, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0718, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.7376, kappa: 0.3763, kb_relative_information_score: 41.6613, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7536, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0502, usercpu_time_millis: 1.6, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8668, kappa: 0.6884, kb_relative_information_score: 68.2103, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8688, predictive_accuracy: 0.87, prior_entropy: 0.9082, recall: 0.87, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7729, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.8652, kappa: 0.6829, kb_relative_information_score: 68.2103, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8709, predictive_accuracy: 0.87, prior_entropy: 0.9082, recall: 0.87, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7729, usercpu_time_millis: 0.529, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.6743, kappa: 0.2291, kb_relative_information_score: 32.0071, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7079, predictive_accuracy: 0.72, prior_entropy: 0.9082, recall: 0.72, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.1343, usercpu_time_millis: 1.01, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8214, kappa: 0.5931, kb_relative_information_score: 56.1426, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8235, predictive_accuracy: 0.82, prior_entropy: 0.9082, recall: 0.82, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9095, usercpu_time_millis: 0.142, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7683, kappa: 0.4491, kb_relative_information_score: 48.9019, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7961, predictive_accuracy: 0.79, prior_entropy: 0.9082, recall: 0.79, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9824, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7547, kappa: 0.4186, kb_relative_information_score: 44.0748, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0281, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 39.2478, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0718, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.8424, kappa: 0.6276, kb_relative_information_score: 63.3832, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8523, predictive_accuracy: 0.85, prior_entropy: 0.9082, recall: 0.85, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.8302, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 39.2478, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0718, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.742, kappa: 0.3878, kb_relative_information_score: 41.6613, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.751, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0502, usercpu_time_millis: 1.556, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.7205, kappa: 0.3367, kb_relative_information_score: 36.8342, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7265, predictive_accuracy: 0.74, prior_entropy: 0.9082, recall: 0.74, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0931, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7974, kappa: 0.5197, kb_relative_information_score: 53.729, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9082, recall: 0.81, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9344, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.7074, kappa: 0.3048, kb_relative_information_score: 34.4207, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7142, predictive_accuracy: 0.73, prior_entropy: 0.9082, recall: 0.73, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1139, usercpu_time_millis: 0.372, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7554, kappa: 0.4297, kb_relative_information_score: 41.6613, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7535, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0502, usercpu_time_millis: 1.233, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8682, kappa: 0.6937, kb_relative_information_score: 68.2103, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8682, predictive_accuracy: 0.87, prior_entropy: 0.9082, recall: 0.87, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7729, usercpu_time_millis: 1.596, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 0.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.7205, kappa: 0.3367, kb_relative_information_score: 36.8342, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7265, predictive_accuracy: 0.74, prior_entropy: 0.9082, recall: 0.74, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0931, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5505, kb_relative_information_score: 22.3529, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.4624, predictive_accuracy: 0.68, prior_entropy: 0.9082, recall: 0.68, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.2126, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.7157, kappa: 0.3243, kb_relative_information_score: 36.8342, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7275, predictive_accuracy: 0.74, prior_entropy: 0.9082, recall: 0.74, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0931, usercpu_time_millis: 19.788, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 18.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 27.18, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1741, usercpu_time_millis: 0.322, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5505, kb_relative_information_score: 22.3529, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.4624, predictive_accuracy: 0.68, prior_entropy: 0.9082, recall: 0.68, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.2126, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 39.2478, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0718, usercpu_time_millis: 0.141, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8557, kappa: 0.6615, kb_relative_information_score: 65.7968, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8589, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.8021, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 44.0748, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0281, usercpu_time_millis: 9.536, usercpu_time_millis_testing: 2.286, usercpu_time_millis_training: 7.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.837, kappa: 0.6198, kb_relative_information_score: 60.4937, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.837, predictive_accuracy: 0.84, prior_entropy: 0.9082, recall: 0.84, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.79, scimark_benchmark: 1212.8035, usercpu_time_millis: 2720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7615, kappa: 0.439, kb_relative_information_score: 44.0748, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7616, predictive_accuracy: 0.77, prior_entropy: 0.9082, recall: 0.77, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0281, usercpu_time_millis: 13.576, usercpu_time_millis_testing: 3.27, usercpu_time_millis_training: 10.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8777, kappa: 0.7148, kb_relative_information_score: 56.9197, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8787, predictive_accuracy: 0.88, prior_entropy: 0.9082, recall: 0.88, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.7136, scimark_benchmark: 1247.288, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8682, kappa: 0.6937, kb_relative_information_score: 61.9386, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8682, predictive_accuracy: 0.87, prior_entropy: 0.9082, recall: 0.87, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7114, scimark_benchmark: 1233.6671, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8789, kappa: 0.7196, kb_relative_information_score: 64.002, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8787, predictive_accuracy: 0.88, prior_entropy: 0.9082, recall: 0.88, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7096, scimark_benchmark: 1190.2487, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.729, kappa: 0.3563, kb_relative_information_score: 23.9946, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7394, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9056, scimark_benchmark: 1222.3483, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8494, kappa: 0.6525, kb_relative_information_score: 57.4757, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8489, predictive_accuracy: 0.85, prior_entropy: 0.9082, recall: 0.85, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7501, scimark_benchmark: 1237.8253, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8682, kappa: 0.6937, kb_relative_information_score: 61.9386, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8682, predictive_accuracy: 0.87, prior_entropy: 0.9082, recall: 0.87, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7114, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.742, kappa: 0.3878, kb_relative_information_score: 30.633, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.751, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9002, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7334, kappa: 0.368, kb_relative_information_score: 24.4853, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7384, predictive_accuracy: 0.75, prior_entropy: 0.9082, recall: 0.75, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9291, scimark_benchmark: 1254.1389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.6026, kappa: 0.0828, kb_relative_information_score: 2.675, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.6644, predictive_accuracy: 0.69, prior_entropy: 0.9082, recall: 0.69, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0004, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.5976, kappa: 0.0458, kb_relative_information_score: 1.3897, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.592, predictive_accuracy: 0.65, prior_entropy: 0.9082, recall: 0.65, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0466, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8588, kappa: 0.6729, kb_relative_information_score: 65.7968, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8583, predictive_accuracy: 0.86, prior_entropy: 0.9082, recall: 0.86, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7495, kappa: 0.4094, kb_relative_information_score: 41.6613, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7502, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.7376, kappa: 0.3763, kb_relative_information_score: 41.6613, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7536, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.6743, kappa: 0.2291, kb_relative_information_score: 32.0071, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7079, predictive_accuracy: 0.72, prior_entropy: 0.9082, recall: 0.72, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.1343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.7733, kappa: 0.4681, kb_relative_information_score: 46.4884, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7729, predictive_accuracy: 0.78, prior_entropy: 0.9082, recall: 0.78, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.742, kappa: 0.3878, kb_relative_information_score: 41.6613, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.751, predictive_accuracy: 0.76, prior_entropy: 0.9082, recall: 0.76, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8682, kappa: 0.6937, kb_relative_information_score: 68.2103, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.8682, predictive_accuracy: 0.87, prior_entropy: 0.9082, recall: 0.87, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7, kappa: 0.3107, kb_relative_information_score: 13.9986, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9082, recall: 0.7, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9587,

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