Task
Supervised Classification on fri_c1_500_10

Supervised Classification on fri_c1_500_10

Task 3689 Supervised Classification fri_c1_500_10 565 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

565 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8436, kappa: 0.6839, kb_relative_information_score: 311.3903, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.6613, kappa: 0.3154, kb_relative_information_score: 106.1776, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.665, predictive_accuracy: 0.666, prior_entropy: 0.9934, recall: 0.666, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6562, kappa: 0.3045, kb_relative_information_score: 97.7758, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6564, predictive_accuracy: 0.658, prior_entropy: 0.9934, recall: 0.658, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8852, kappa: 0.7676, kb_relative_information_score: 333.1235, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8889, predictive_accuracy: 0.886, prior_entropy: 0.9934, recall: 0.886, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 101.9358, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7061, kappa: 0.4068, kb_relative_information_score: 161.5344, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7061, predictive_accuracy: 0.706, prior_entropy: 0.9934, recall: 0.706, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8877, kappa: 0.773, kb_relative_information_score: 383.9738, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8882, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6399, kappa: 0.2714, kb_relative_information_score: 103.4059, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6401, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8961, kappa: 0.7907, kb_relative_information_score: 345.4884, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8967, predictive_accuracy: 0.896, prior_entropy: 0.9934, recall: 0.896, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7781, kappa: 0.5524, kb_relative_information_score: 262.5703, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7783, predictive_accuracy: 0.778, prior_entropy: 0.9934, recall: 0.778, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.6489, kappa: 0.2899, kb_relative_information_score: 102.5709, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6486, predictive_accuracy: 0.65, prior_entropy: 0.9934, recall: 0.65, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.7282, kappa: 0.4501, kb_relative_information_score: 59.228, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9934, recall: 0.73, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7139, kappa: 0.4225, kb_relative_information_score: 154.4461, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7139, predictive_accuracy: 0.714, prior_entropy: 0.9934, recall: 0.714, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6605, kappa: 0.3132, kb_relative_information_score: 151.1419, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6605, predictive_accuracy: 0.662, prior_entropy: 0.9934, recall: 0.662, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5293, root_relative_squared_error: 1.0636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8738, kappa: 0.745, kb_relative_information_score: 341.4719, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9934, recall: 0.874, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8656, kappa: 0.7281, kb_relative_information_score: 241.2366, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8663, predictive_accuracy: 0.866, prior_entropy: 0.9934, recall: 0.866, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.331, root_relative_squared_error: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.388, kb_relative_information_score: -0.0489, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4977, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7061, kappa: 0.4068, kb_relative_information_score: 154.9863, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7061, predictive_accuracy: 0.706, prior_entropy: 0.9934, recall: 0.706, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8519, kappa: 0.701, kb_relative_information_score: 315.2312, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9934, recall: 0.852, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8962, kappa: 0.7909, kb_relative_information_score: 355.4414, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.897, predictive_accuracy: 0.896, prior_entropy: 0.9934, recall: 0.896, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8402, kappa: 0.6783, kb_relative_information_score: 337.1907, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.66, kappa: 0.3121, kb_relative_information_score: 102.5205, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6604, predictive_accuracy: 0.662, prior_entropy: 0.9934, recall: 0.662, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.6506, kappa: 0.2931, kb_relative_information_score: 96.1842, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6504, predictive_accuracy: 0.652, prior_entropy: 0.9934, recall: 0.652, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.66, kappa: 0.3121, kb_relative_information_score: 102.5205, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6604, predictive_accuracy: 0.662, prior_entropy: 0.9934, recall: 0.662, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.6489, kappa: 0.2899, kb_relative_information_score: 145.3119, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6486, predictive_accuracy: 0.65, prior_entropy: 0.9934, recall: 0.65, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8402, kappa: 0.6783, kb_relative_information_score: 337.1907, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.671, kappa: 0.3348, kb_relative_information_score: 167.6049, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6709, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8255, kappa: 0.6473, kb_relative_information_score: 285.8308, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9934, recall: 0.826, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.904, kappa: 0.8061, kb_relative_information_score: 323.9553, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9934, recall: 0.904, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7379, kappa: 0.4709, kb_relative_information_score: 234.4839, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7379, predictive_accuracy: 0.738, prior_entropy: 0.9934, recall: 0.738, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.6533, kappa: 0.2985, kb_relative_information_score: 99.973, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6542, predictive_accuracy: 0.656, prior_entropy: 0.9934, recall: 0.656, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.66, kappa: 0.3121, kb_relative_information_score: 102.5205, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6604, predictive_accuracy: 0.662, prior_entropy: 0.9934, recall: 0.662, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9268, scimark_benchmark: 1157.0987, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7443, kappa: 0.4844, kb_relative_information_score: 168.6831, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7447, predictive_accuracy: 0.744, prior_entropy: 0.9934, recall: 0.744, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8663, kappa: 0.7317, kb_relative_information_score: 286.185, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8697, predictive_accuracy: 0.866, prior_entropy: 0.9934, recall: 0.866, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8482, kappa: 0.6939, kb_relative_information_score: 345.9489, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8486, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7566, kappa: 0.5116, kb_relative_information_score: 252.7236, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.76, predictive_accuracy: 0.756, prior_entropy: 0.9934, recall: 0.756, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9925, scimark_benchmark: 1959.6455, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5689, kappa: 0.1283, kb_relative_information_score: 64.2464, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.5683, predictive_accuracy: 0.57, prior_entropy: 0.9934, recall: 0.57, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3176, scimark_benchmark: 1959.6455, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7899, kappa: 0.5756, kb_relative_information_score: 287.1765, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9934, recall: 0.79, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9208, scimark_benchmark: 1631.1992, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5689, kappa: 0.1283, kb_relative_information_score: 64.2464, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.5683, predictive_accuracy: 0.57, prior_entropy: 0.9934, recall: 0.57, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3176, scimark_benchmark: 1334.7805, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7566, kappa: 0.5116, kb_relative_information_score: 252.7236, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.76, predictive_accuracy: 0.756, prior_entropy: 0.9934, recall: 0.756, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9925, scimark_benchmark: 1385.9852, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7899, kappa: 0.5756, kb_relative_information_score: 287.1765, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9934, recall: 0.79, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9208, scimark_benchmark: 1683.4665, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6282, kappa: 0.2795, kb_relative_information_score: 72.0625, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6581, predictive_accuracy: 0.632, prior_entropy: 0.9934, recall: 0.632, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9718, scimark_benchmark: 1908.2191, usercpu_time_millis: 1453.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6366, kappa: 0.2759, kb_relative_information_score: 89.1054, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6445, predictive_accuracy: 0.636, prior_entropy: 0.9934, recall: 0.636, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9408, scimark_benchmark: 1908.2191, usercpu_time_millis: 1312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6411, kappa: 0.2742, kb_relative_information_score: 137.2053, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6407, predictive_accuracy: 0.642, prior_entropy: 0.9934, recall: 0.642, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2022, scimark_benchmark: 1827.4462, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9001, kappa: 0.7985, kb_relative_information_score: 392.4511, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.9003, predictive_accuracy: 0.9, prior_entropy: 0.9934, recall: 0.9, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5623, scimark_benchmark: 1362.373, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6366, kappa: 0.2759, kb_relative_information_score: 89.1063, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6445, predictive_accuracy: 0.636, prior_entropy: 0.9934, recall: 0.636, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9408, scimark_benchmark: 1760.5198, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.66, kappa: 0.3121, kb_relative_information_score: 102.5205, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6604, predictive_accuracy: 0.662, prior_entropy: 0.9934, recall: 0.662, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9268, scimark_benchmark: 1302.181, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6297, kappa: 0.2842, kb_relative_information_score: 70.9554, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.662, predictive_accuracy: 0.634, prior_entropy: 0.9934, recall: 0.634, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.966, scimark_benchmark: 1232.5464, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.6489, kappa: 0.2899, kb_relative_information_score: 145.3119, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6486, predictive_accuracy: 0.65, prior_entropy: 0.9934, recall: 0.65, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1887, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.648, kappa: 0.2895, kb_relative_information_score: 143.2852, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.648, predictive_accuracy: 0.648, prior_entropy: 0.9934, recall: 0.648, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1921, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6527, kappa: 0.2975, kb_relative_information_score: 95.8546, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6525, predictive_accuracy: 0.654, prior_entropy: 0.9934, recall: 0.654, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9234, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7083, kappa: 0.4119, kb_relative_information_score: 203.4154, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7088, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0834, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8861, kappa: 0.7705, kb_relative_information_score: 367.2329, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8866, predictive_accuracy: 0.886, prior_entropy: 0.9934, recall: 0.886, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5666, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8556, kappa: 0.708, kb_relative_information_score: 325.0277, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7123, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8516, kappa: 0.6999, kb_relative_information_score: 305.8984, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 0.9934, recall: 0.852, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7047, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.906, kappa: 0.8102, kb_relative_information_score: 323.4839, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 0.9934, recall: 0.906, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5528, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 101.9358, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.932, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8402, kappa: 0.678, kb_relative_information_score: 337.6085, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8408, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7697, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.66, kappa: 0.3121, kb_relative_information_score: 102.5205, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6604, predictive_accuracy: 0.662, prior_entropy: 0.9934, recall: 0.662, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9268, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.6489, kappa: 0.2899, kb_relative_information_score: 145.3119, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6486, predictive_accuracy: 0.65, prior_entropy: 0.9934, recall: 0.65, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1887, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.648, kappa: 0.2895, kb_relative_information_score: 143.2852, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.648, predictive_accuracy: 0.648, prior_entropy: 0.9934, recall: 0.648, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1921, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6297, kappa: 0.2842, kb_relative_information_score: 70.9554, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.662, predictive_accuracy: 0.634, prior_entropy: 0.9934, recall: 0.634, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.966, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6527, kappa: 0.2975, kb_relative_information_score: 95.8546, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6525, predictive_accuracy: 0.654, prior_entropy: 0.9934, recall: 0.654, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9234, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7083, kappa: 0.4119, kb_relative_information_score: 203.4154, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7088, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0834, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8861, kappa: 0.7705, kb_relative_information_score: 367.2329, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8866, predictive_accuracy: 0.886, prior_entropy: 0.9934, recall: 0.886, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5666, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8556, kappa: 0.708, kb_relative_information_score: 325.0277, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7123, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8516, kappa: 0.6999, kb_relative_information_score: 305.8984, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 0.9934, recall: 0.852, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7047, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.906, kappa: 0.8102, kb_relative_information_score: 323.4839, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 0.9934, recall: 0.906, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5528, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 101.9358, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.932, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8402, kappa: 0.678, kb_relative_information_score: 337.6085, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8408, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7697, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6527, kappa: 0.2975, kb_relative_information_score: 95.8546, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6525, predictive_accuracy: 0.654, prior_entropy: 0.9934, recall: 0.654, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9234, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8861, kappa: 0.7705, kb_relative_information_score: 367.2329, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8866, predictive_accuracy: 0.886, prior_entropy: 0.9934, recall: 0.886, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5666, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6297, kappa: 0.2842, kb_relative_information_score: 70.9666, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.662, predictive_accuracy: 0.634, prior_entropy: 0.9934, recall: 0.634, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.966, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.868, kappa: 0.7338, kb_relative_information_score: 351.234, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5988, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8797, kappa: 0.7568, kb_relative_information_score: 345.6135, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.66, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.6297, kappa: 0.2973, kb_relative_information_score: 78.816, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6799, predictive_accuracy: 0.638, prior_entropy: 0.9934, recall: 0.638, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9396, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.6777, kappa: 0.348, kb_relative_information_score: 94.8723, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6787, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9172, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.671, kappa: 0.3348, kb_relative_information_score: 167.6049, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6709, predictive_accuracy: 0.672, prior_entropy: 0.9934, recall: 0.672, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1507, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6442, f_measure: 0.6489, kappa: 0.2899, kb_relative_information_score: 145.3119, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6486, predictive_accuracy: 0.65, prior_entropy: 0.9934, recall: 0.65, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1887, scimark_benchmark: 1509.9547, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8436, kappa: 0.6839, kb_relative_information_score: 311.3903, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9934, recall: 0.844, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7395, scimark_benchmark: 921.3525, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8803, kappa: 0.7596, kb_relative_information_score: 341.7257, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8834, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5523, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8521, kappa: 0.7063, kb_relative_information_score: 358.4803, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8655, predictive_accuracy: 0.852, prior_entropy: 0.9934, recall: 0.852, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6365, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.6755, kappa: 0.3754, kb_relative_information_score: 181.4516, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7154, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9461, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7145, kappa: 0.4308, kb_relative_information_score: 137.0078, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7228, predictive_accuracy: 0.714, prior_entropy: 0.9934, recall: 0.714, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8632, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8962, kappa: 0.7909, kb_relative_information_score: 355.4414, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.897, predictive_accuracy: 0.896, prior_entropy: 0.9934, recall: 0.896, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5637, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7061, kappa: 0.4068, kb_relative_information_score: 154.9863, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7061, predictive_accuracy: 0.706, prior_entropy: 0.9934, recall: 0.706, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8687, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.6656, kappa: 0.3245, kb_relative_information_score: 161.525, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6654, predictive_accuracy: 0.666, prior_entropy: 0.9934, recall: 0.666, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5779, root_relative_squared_error: 1.1612, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.648, kappa: 0.2895, kb_relative_information_score: 143.2852, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.648, predictive_accuracy: 0.648, prior_entropy: 0.9934, recall: 0.648, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1921, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8418, kappa: 0.6802, kb_relative_information_score: 311.7056, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9934, recall: 0.842, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6992, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8557, kappa: 0.7082, kb_relative_information_score: 307.8102, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9934, recall: 0.856, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6963, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.6512, kappa: 0.2948, kb_relative_information_score: 101.9719, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6509, predictive_accuracy: 0.652, prior_entropy: 0.9934, recall: 0.652, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9299, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 101.9358, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.932, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.7536, kappa: 0.5021, kb_relative_information_score: 250.697, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7535, predictive_accuracy: 0.754, prior_entropy: 0.9934, recall: 0.754, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8859, kappa: 0.7694, kb_relative_information_score: 384.4551, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9934, recall: 0.886, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.766, kappa: 0.5361, kb_relative_information_score: 262.8568, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.7797, predictive_accuracy: 0.766, prior_entropy: 0.9934, recall: 0.766, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.874, kappa: 0.7456, kb_relative_information_score: 356.3892, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9934, recall: 0.874, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6728, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8402, kappa: 0.6783, kb_relative_information_score: 337.1907, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7701, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8999, kappa: 0.7978, kb_relative_information_score: 362.4424, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4954, number_of_instances: 500, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9934, recall: 0.9, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5444, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,

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