Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7459, kappa: 0.4777, kb_relative_information_score: 12529.5592, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7581, predictive_accuracy: 0.7534, prior_entropy: 0.9835, recall: 0.7534, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.839, scimark_benchmark: 1302.3567, usercpu_time_millis: 2.172, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 2.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1313.9957, usercpu_time_millis: 1.244, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1302.18, usercpu_time_millis: 1.361, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7341, kappa: 0.4548, kb_relative_information_score: 10026.8821, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7528, predictive_accuracy: 0.7445, prior_entropy: 0.9835, recall: 0.7445, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8642, scimark_benchmark: 1302.2851, usercpu_time_millis: 2.305, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 2.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1303.0671, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1283.1998, usercpu_time_millis: 1.721, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1297.884, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1296.9731, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1287.5665, usercpu_time_millis: 2.222, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 1.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1271.4201, usercpu_time_millis: 1.469, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7533, kappa: 0.4924, kb_relative_information_score: 14784.3108, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8244, scimark_benchmark: 1295.5469, usercpu_time_millis: 1.919, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1287.9548, usercpu_time_millis: 2.035, usercpu_time_millis_testing: -0.108, usercpu_time_millis_training: 2.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7539, kappa: 0.4935, kb_relative_information_score: 15335.2208, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8217, scimark_benchmark: 1287.816, usercpu_time_millis: 2.798, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 2.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.445, kappa: 0.0297, kb_relative_information_score: 1580.1577, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7519, predictive_accuracy: 0.5864, prior_entropy: 0.9835, recall: 0.5864, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9765, scimark_benchmark: 1273.9671, usercpu_time_millis: 1.997, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1282.9325, usercpu_time_millis: 1.615, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7272, kappa: 0.4455, kb_relative_information_score: 7786.5868, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7669, predictive_accuracy: 0.7439, prior_entropy: 0.9835, recall: 0.7439, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8902, scimark_benchmark: 1307.8759, usercpu_time_millis: 1.567, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1310.4345, usercpu_time_millis: 1.697, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1306.3912, usercpu_time_millis: 2.033, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7533, kappa: 0.4923, kb_relative_information_score: 15170.8543, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8221, scimark_benchmark: 1306.2265, usercpu_time_millis: 2.604, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1307.6102, usercpu_time_millis: 1.502, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7416, kappa: 0.4711, kb_relative_information_score: 9664.9034, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7654, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8693, scimark_benchmark: 1304.429, usercpu_time_millis: 1.807, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.426, kappa: 0.0068, kb_relative_information_score: 794.1582, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7565, predictive_accuracy: 0.5779, prior_entropy: 0.9835, recall: 0.5779, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.988, scimark_benchmark: 1283.4608, usercpu_time_millis: 1.203, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1304.5433, usercpu_time_millis: 1.126, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.4434, kappa: 0.0277, kb_relative_information_score: 1496.1887, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.752, predictive_accuracy: 0.5857, prior_entropy: 0.9835, recall: 0.5857, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9779, scimark_benchmark: 1282.5236, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.753, kappa: 0.4916, kb_relative_information_score: 15131.955, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8222, scimark_benchmark: 1295.244, usercpu_time_millis: 2.706, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 2.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7499, kappa: 0.4859, kb_relative_information_score: 12751.8163, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.839, scimark_benchmark: 1278.4261, usercpu_time_millis: 2.557, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 2.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7523, kappa: 0.4904, kb_relative_information_score: 14814.0192, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8235, scimark_benchmark: 1301.3808, usercpu_time_millis: 3.301, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 3.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1268.924, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1264.1629, usercpu_time_millis: 1.511, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7262, kappa: 0.4438, kb_relative_information_score: 7698.3718, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7669, predictive_accuracy: 0.7433, prior_entropy: 0.9835, recall: 0.7433, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8912, scimark_benchmark: 1266.3362, usercpu_time_millis: 1.788, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1299.0401, usercpu_time_millis: 1.854, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1295.201, usercpu_time_millis: 1.989, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 1.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7468, kappa: 0.4794, kb_relative_information_score: 13149.848, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7578, predictive_accuracy: 0.7539, prior_entropy: 0.9835, recall: 0.7539, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8338, scimark_benchmark: 1290.6926, usercpu_time_millis: 2.171, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 2.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.6615, kappa: 0.3281, kb_relative_information_score: 10493.9427, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6804, predictive_accuracy: 0.66, prior_entropy: 0.9835, recall: 0.66, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8824, scimark_benchmark: 1304.3951, usercpu_time_millis: 483.883, usercpu_time_millis_testing: -0.449, usercpu_time_millis_training: 484.332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1296.8805, usercpu_time_millis: 1.122, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 0.856,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1299.1621, usercpu_time_millis: 1.746, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1296.7127, usercpu_time_millis: 2.63, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 2.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1272.2656, usercpu_time_millis: 1.515, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.5145, kappa: 0.1181, kb_relative_information_score: 2803.5632, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7509, predictive_accuracy: 0.6192, prior_entropy: 0.9835, recall: 0.6192, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9586, scimark_benchmark: 1310.1917, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1311.8622, usercpu_time_millis: 1.146, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1305.321, usercpu_time_millis: 1.497, usercpu_time_millis_testing: -0.249, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7038, kappa: 0.4038, kb_relative_information_score: 6424.8072, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7276, prior_entropy: 0.9835, recall: 0.7276, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9074, scimark_benchmark: 1300.291, usercpu_time_millis: 2.237, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.738, kappa: 0.464, kb_relative_information_score: 9452.1198, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7498, prior_entropy: 0.9835, recall: 0.7498, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8715, scimark_benchmark: 1304.4856, usercpu_time_millis: 1.821, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.4221, kappa: 0.002, kb_relative_information_score: 256.4647, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7559, predictive_accuracy: 0.5762, prior_entropy: 0.9835, recall: 0.5762, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9962, scimark_benchmark: 1306.908, usercpu_time_millis: 1.558, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.753, kappa: 0.4918, kb_relative_information_score: 14557.4889, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8252, scimark_benchmark: 1308.7768, usercpu_time_millis: 2.219, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 2.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7543, kappa: 0.4943, kb_relative_information_score: 15540.4908, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8211, scimark_benchmark: 1297.5227, usercpu_time_millis: 2.893, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 2.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7363, kappa: 0.4621, kb_relative_information_score: 8571.8038, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7685, predictive_accuracy: 0.7503, prior_entropy: 0.9835, recall: 0.7503, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8809, scimark_benchmark: 1293.4492, usercpu_time_millis: 1.832, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7504, kappa: 0.4869, kb_relative_information_score: 13371.8743, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7616, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8322, scimark_benchmark: 1299.526, usercpu_time_millis: 3.758, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 3.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.6612, kappa: 0.3274, kb_relative_information_score: 10458.7266, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.68, predictive_accuracy: 0.6597, prior_entropy: 0.9835, recall: 0.6597, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8824, scimark_benchmark: 1282.2254, usercpu_time_millis: 503.106, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 502.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7492, kappa: 0.4847, kb_relative_information_score: 11822.6508, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7635, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8487, scimark_benchmark: 1305.7947, usercpu_time_millis: 2.942, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1299.3126, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1300.023, usercpu_time_millis: 1.391, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1312.3907, usercpu_time_millis: 1.927, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1316.126, usercpu_time_millis: 2.048, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 1.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4522, kappa: 0.0386, kb_relative_information_score: 1820.5243, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7529, predictive_accuracy: 0.5897, prior_entropy: 0.9835, recall: 0.5897, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9727, scimark_benchmark: 1279.4739, usercpu_time_millis: 2.585, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1298.0872, usercpu_time_millis: 1.735, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1292.7101, usercpu_time_millis: 2.163, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.4393, kappa: 0.0227, kb_relative_information_score: 1494.3656, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.752, predictive_accuracy: 0.5838, prior_entropy: 0.9835, recall: 0.5838, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9776, scimark_benchmark: 1284.8311, usercpu_time_millis: 1.812, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6945, kappa: 0.381, kb_relative_information_score: 12311.5064, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6993, predictive_accuracy: 0.693, prior_entropy: 0.9835, recall: 0.693, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1291.9798, usercpu_time_millis: 319.313, usercpu_time_millis_testing: -0.373, usercpu_time_millis_training: 319.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1312.7353, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7503, kappa: 0.4868, kb_relative_information_score: 12514.2133, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.763, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8422, scimark_benchmark: 1282.1092, usercpu_time_millis: 1.958, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1295.462, usercpu_time_millis: 2.216, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 1.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1308.617, usercpu_time_millis: 2.483, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 1.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1279.5918, usercpu_time_millis: 2.425, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 1.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.753, kappa: 0.4918, kb_relative_information_score: 14759.2699, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7617, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8242, scimark_benchmark: 1311.4603, usercpu_time_millis: 2.954, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 2.803,

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