Task
Supervised Classification on fri_c2_100_50

Supervised Classification on fri_c2_100_50

Task 3785 Supervised Classification fri_c2_100_50 554 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.829, kappa: 0.6476, kb_relative_information_score: 64.688, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8295, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8354, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7413, kappa: 0.4733, kb_relative_information_score: 46.032, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7449, predictive_accuracy: 0.74, prior_entropy: 0.9822, recall: 0.74, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0331, usercpu_time_millis: 0.227, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.6519, kappa: 0.2932, kb_relative_information_score: 27.376, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6571, predictive_accuracy: 0.65, prior_entropy: 0.9822, recall: 0.65, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1987, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6423, kappa: 0.28, kb_relative_information_score: 25.3032, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6528, predictive_accuracy: 0.64, prior_entropy: 0.9822, recall: 0.64, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8705, kappa: 0.7358, kb_relative_information_score: 72.9796, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8726, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7305, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5724, kappa: 0.1317, kb_relative_information_score: 10.7929, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5776, predictive_accuracy: 0.57, prior_entropy: 0.9822, recall: 0.57, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3286, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8707, kappa: 0.7375, kb_relative_information_score: 59.9889, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6941, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.8608, kappa: 0.7182, kb_relative_information_score: 56.5619, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8679, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7023, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 55.6495, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7384, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 44.1823, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.887, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9193, kappa: 0.8336, kb_relative_information_score: 83.344, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9218, predictive_accuracy: 0.92, prior_entropy: 0.9822, recall: 0.92, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 55.8663, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7376, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 44.4986, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8857, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.4258, kb_relative_information_score: -0.1303, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0008, scimark_benchmark: 1851.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 55.8663, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7376, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 65.8437, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7197, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.82, kappa: 0.6305, kb_relative_information_score: 59.6752, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8441, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 70.1302, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6523, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 37.5603, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7425, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9003, kappa: 0.7961, kb_relative_information_score: 77.9139, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9013, predictive_accuracy: 0.9, prior_entropy: 0.9822, recall: 0.9, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6341, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.6168, kappa: 0.2097, kb_relative_information_score: 20.7721, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6157, predictive_accuracy: 0.62, prior_entropy: 0.9822, recall: 0.62, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.2355, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 55.8663, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7376, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 44.4986, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8857, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.8303, kappa: 0.6522, kb_relative_information_score: 64.688, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8354, usercpu_time_millis: 4.158, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 3.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7051, kappa: 0.3908, kb_relative_information_score: 39.8134, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7074, predictive_accuracy: 0.71, prior_entropy: 0.9822, recall: 0.71, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0911, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.704, kappa: 0.3934, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7306, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7896, kappa: 0.5675, kb_relative_information_score: 56.3965, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7894, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9285, usercpu_time_millis: 3.585, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 2.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 75.0525, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7019, usercpu_time_millis: 2.704, usercpu_time_millis_testing: 1.129, usercpu_time_millis_training: 1.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9095, kappa: 0.8134, kb_relative_information_score: 81.2711, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9106, predictive_accuracy: 0.91, prior_entropy: 0.9822, recall: 0.91, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6078, usercpu_time_millis: 405.443, usercpu_time_millis_testing: 14.963, usercpu_time_millis_training: 390.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5825, kappa: 0.1546, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5892, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, usercpu_time_millis: 0.812, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.6514, kappa: 0.2886, kb_relative_information_score: 27.376, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6539, predictive_accuracy: 0.65, prior_entropy: 0.9822, recall: 0.65, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1987, usercpu_time_millis: 1.456, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 48.1049, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5, root_relative_squared_error: 1.013, usercpu_time_millis: 1.026, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6423, kappa: 0.28, kb_relative_information_score: 25.3032, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6528, predictive_accuracy: 0.64, prior_entropy: 0.9822, recall: 0.64, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2157, usercpu_time_millis: 11.197, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 9.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.5422, kappa: 0.0681, kb_relative_information_score: 4.5743, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5462, predictive_accuracy: 0.54, prior_entropy: 0.9822, recall: 0.54, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3742, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.7112, kappa: 0.4106, kb_relative_information_score: 39.8134, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7136, predictive_accuracy: 0.71, prior_entropy: 0.9822, recall: 0.71, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0911, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.5893, kappa: 0.1557, kb_relative_information_score: 14.9387, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5887, predictive_accuracy: 0.59, prior_entropy: 0.9822, recall: 0.59, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2973, usercpu_time_millis: 0.796, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5319, kappa: 0.0447, kb_relative_information_score: 2.5014, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5347, predictive_accuracy: 0.53, prior_entropy: 0.9822, recall: 0.53, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.389, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.6522, kappa: 0.2978, kb_relative_information_score: 27.376, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6608, predictive_accuracy: 0.65, prior_entropy: 0.9822, recall: 0.65, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1987, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.6519, kappa: 0.2932, kb_relative_information_score: 27.376, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6571, predictive_accuracy: 0.65, prior_entropy: 0.9822, recall: 0.65, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1987, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7214, kappa: 0.4327, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.725, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, usercpu_time_millis: 0.141, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.6531, kappa: 0.2833, kb_relative_information_score: 29.4489, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6549, predictive_accuracy: 0.66, prior_entropy: 0.9822, recall: 0.66, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1814, usercpu_time_millis: 0.427, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7083, kappa: 0.3988, kb_relative_information_score: 39.8134, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7079, predictive_accuracy: 0.71, prior_entropy: 0.9822, recall: 0.71, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0911, usercpu_time_millis: 0.617, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.82, kappa: 0.6305, kb_relative_information_score: 62.6151, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8596, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 1.502, usercpu_time_millis_training: 2.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8491, kappa: 0.6891, kb_relative_information_score: 68.8338, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7847, usercpu_time_millis: 3.375, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 2.165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.6168, kappa: 0.2097, kb_relative_information_score: 21.1574, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6157, predictive_accuracy: 0.62, prior_entropy: 0.9822, recall: 0.62, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.249, usercpu_time_millis: 3.086, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 1.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7015, kappa: 0.3922, kb_relative_information_score: 37.7405, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7052, predictive_accuracy: 0.7, prior_entropy: 0.9822, recall: 0.7, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1097, usercpu_time_millis: 0.829, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 0.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7607, kappa: 0.5106, kb_relative_information_score: 50.1778, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.762, predictive_accuracy: 0.76, prior_entropy: 0.9822, recall: 0.76, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9926, usercpu_time_millis: 1.428, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, usercpu_time_millis: 0.869, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7983, kappa: 0.584, kb_relative_information_score: 58.4694, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7993, predictive_accuracy: 0.8, prior_entropy: 0.9822, recall: 0.8, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9061, usercpu_time_millis: 0.807, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.723,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8387, kappa: 0.6672, kb_relative_information_score: 66.7609, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8104, usercpu_time_millis: 5.58, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 5.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8297, kappa: 0.6499, kb_relative_information_score: 64.688, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8354, usercpu_time_millis: 1.791, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8394, kappa: 0.6694, kb_relative_information_score: 66.7609, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8395, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8104, usercpu_time_millis: 2.79, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5319, kappa: 0.0447, kb_relative_information_score: 2.5014, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5347, predictive_accuracy: 0.53, prior_entropy: 0.9822, recall: 0.53, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.389, usercpu_time_millis: 0.64, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.515,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8604, kappa: 0.7145, kb_relative_information_score: 70.9067, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8615, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7581, usercpu_time_millis: 27.541, usercpu_time_millis_testing: 5.45, usercpu_time_millis_training: 22.091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.6711, kappa: 0.3209, kb_relative_information_score: 33.5947, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6765, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1461, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.622,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8311, kappa: 0.6589, kb_relative_information_score: 60.9219, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8403, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7188, scimark_benchmark: 936.3373, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 37.5603, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7425, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 61.2711, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7313, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 901.6243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 934.5964, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 59.3648, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6495, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.72, kappa: 0.4253, kb_relative_information_score: 30.8748, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9033, scimark_benchmark: 763.3895, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8607, kappa: 0.7164, kb_relative_information_score: 65.9629, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8641, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6738, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 37.5603, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7425, scimark_benchmark: 936.3213, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 42.6543, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7391, scimark_benchmark: 901.6243, usercpu_time_millis: 2560, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8806, kappa: 0.7569, kb_relative_information_score: 41.6991, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.884, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7412, scimark_benchmark: 939.8002, usercpu_time_millis: 1580, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8803, kappa: 0.7553, kb_relative_information_score: 44.3894, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8814, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7315, scimark_benchmark: 941.589, usercpu_time_millis: 710, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8209, kappa: 0.6353, kb_relative_information_score: 38.7408, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8244, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7726, scimark_benchmark: 931.6751, usercpu_time_millis: 290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8303, kappa: 0.6522, kb_relative_information_score: 39.565, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7869, scimark_benchmark: 936.1714, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7903, kappa: 0.5704, kb_relative_information_score: 57.2178, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7908, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.882, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7903, kappa: 0.5704, kb_relative_information_score: 57.3143, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7908, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8821, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7903, kappa: 0.5704, kb_relative_information_score: 55.7824, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7908, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9078, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.76, kappa: 0.5074, kb_relative_information_score: 53.0407, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9822, recall: 0.76, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9006, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs