Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270274 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5165, kb_relative_information_score: -2.0898, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1864.3131, usercpu_time_millis: 3.426, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 733.1467, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3587, scimark_benchmark: 1789.9764, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 4.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7566, kappa: 0.4507, kb_relative_information_score: 233.3485, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8001, predictive_accuracy: 0.7808, prior_entropy: 0.9312, recall: 0.7808, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8351, scimark_benchmark: 1863.7034, usercpu_time_millis: 7.905, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5165, kb_relative_information_score: -24.0283, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0008, scimark_benchmark: 1841.8169, usercpu_time_millis: 6.113, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7543, kappa: 0.4447, kb_relative_information_score: 233.5865, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7892, predictive_accuracy: 0.7766, prior_entropy: 0.9312, recall: 0.7766, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8379, scimark_benchmark: 2009.9165, usercpu_time_millis: 12.141, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7372, kappa: 0.4067, kb_relative_information_score: 166.2088, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7747, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8855, scimark_benchmark: 1874.977, usercpu_time_millis: 2.901, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 2.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5165, kb_relative_information_score: -0.3024, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1945.5912, usercpu_time_millis: 10.249, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 10.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7149, kappa: 0.3588, kb_relative_information_score: 145.5101, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7646, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8993, scimark_benchmark: 1868.2531, usercpu_time_millis: 14.25, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 14.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.5165, kb_relative_information_score: 16.0727, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9876, scimark_benchmark: 1861.4992, usercpu_time_millis: 6.493, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 6.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.636, kappa: 0.2044, kb_relative_information_score: 105.5663, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7549, predictive_accuracy: 0.7067, prior_entropy: 0.9312, recall: 0.7067, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9221, scimark_benchmark: 1866.5057, usercpu_time_millis: 6.402, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1724.4885, usercpu_time_millis: 8.353, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 8.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 881.7024, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2575, scimark_benchmark: 1836.59, usercpu_time_millis: 10.075, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 10.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.5165, kb_relative_information_score: 47.7838, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9629, scimark_benchmark: 1834.8564, usercpu_time_millis: 6.921, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7849, kappa: 0.5134, kb_relative_information_score: 273.3662, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.807, predictive_accuracy: 0.7996, prior_entropy: 0.9312, recall: 0.7996, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.8117, scimark_benchmark: 1864.0845, usercpu_time_millis: 3.447, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 3.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.5625, kappa: 0.0773, kb_relative_information_score: 77.7939, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7827, predictive_accuracy: 0.6743, prior_entropy: 0.9312, recall: 0.6743, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9413, scimark_benchmark: 1753.3033, usercpu_time_millis: 1.62, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 1.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7138, kappa: 0.3545, kb_relative_information_score: 169.2761, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7487, predictive_accuracy: 0.7432, prior_entropy: 0.9312, recall: 0.7432, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8859, scimark_benchmark: 1847.5288, usercpu_time_millis: 11.375, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 11.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7455, kappa: 0.4249, kb_relative_information_score: 206.5855, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7771, predictive_accuracy: 0.7683, prior_entropy: 0.9312, recall: 0.7683, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8611, scimark_benchmark: 1853.9228, usercpu_time_millis: 10.036, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 10.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.5165, kb_relative_information_score: 0.2918, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9994, scimark_benchmark: 1848.4848, usercpu_time_millis: 12.712, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 12.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5165, kb_relative_information_score: 1.7747, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0003, scimark_benchmark: 2013.0862, usercpu_time_millis: 8.541, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 8.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7468, kappa: 0.4295, kb_relative_information_score: 189.6146, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7984, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8587, scimark_benchmark: 1862.8642, usercpu_time_millis: 1.54, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7949, kappa: 0.5359, kb_relative_information_score: 294.8239, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8189, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7925, scimark_benchmark: 1851.4256, usercpu_time_millis: 6.936, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 6.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8848, kappa: 0.7403, kb_relative_information_score: 456.6635, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8972, predictive_accuracy: 0.8894, prior_entropy: 0.9312, recall: 0.8894, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6518, scimark_benchmark: 1868.5094, usercpu_time_millis: 17.512, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 17.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5165, kb_relative_information_score: 69.8913, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9485, scimark_benchmark: 1868.4806, usercpu_time_millis: 12.657, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 12.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1836.2521, usercpu_time_millis: 10.846, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 10.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1837.0452, usercpu_time_millis: 15.815, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 15.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8995, kappa: 0.7737, kb_relative_information_score: 473.7507, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9096, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6349, scimark_benchmark: 1857.6175, usercpu_time_millis: 10.414, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 10.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.5165, kb_relative_information_score: 5.3996, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9821, scimark_benchmark: 1860.5088, usercpu_time_millis: 14.123, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 14.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8684, kappa: 0.7028, kb_relative_information_score: 432.863, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8853, predictive_accuracy: 0.8747, prior_entropy: 0.9312, recall: 0.8747, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6709, scimark_benchmark: 1856.6497, usercpu_time_millis: 4.214, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.202,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.6864, kappa: 0.3003, kb_relative_information_score: 108.8216, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.756, predictive_accuracy: 0.7317, prior_entropy: 0.9312, recall: 0.7317, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9168, scimark_benchmark: 1717.3625, usercpu_time_millis: 6.758, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 6.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7375, kappa: 0.4063, kb_relative_information_score: 218.9685, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7471, predictive_accuracy: 0.7526, prior_entropy: 0.9312, recall: 0.7526, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.858, scimark_benchmark: 1823.4673, usercpu_time_millis: 12.811, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1865.9567, usercpu_time_millis: 11.791, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 11.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.5165, kb_relative_information_score: 35.4965, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9733, scimark_benchmark: 1874.977, usercpu_time_millis: 15.877, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 15.865,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1836.3251, usercpu_time_millis: 18.182, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 18.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.6237, kappa: 0.1852, kb_relative_information_score: 95.6003, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7776, predictive_accuracy: 0.7035, prior_entropy: 0.9312, recall: 0.7035, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9289, scimark_benchmark: 1742.2915, usercpu_time_millis: 10.368, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 10.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7454, kappa: 0.4261, kb_relative_information_score: 178.7083, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7724, prior_entropy: 0.9312, recall: 0.7724, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8728, scimark_benchmark: 1830.2398, usercpu_time_millis: 4.008, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.5308, kappa: 0.0235, kb_relative_information_score: 77.3245, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.6597, prior_entropy: 0.9312, recall: 0.6597, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9418, scimark_benchmark: 1836.5879, usercpu_time_millis: 14.539, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7207, kappa: 0.3715, kb_relative_information_score: 195.5614, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7205, predictive_accuracy: 0.7296, prior_entropy: 0.9312, recall: 0.7296, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8894, scimark_benchmark: 1856.5927, usercpu_time_millis: 16.096, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 16.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7252, kappa: 0.3823, kb_relative_information_score: 156.6718, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7798, predictive_accuracy: 0.7578, prior_entropy: 0.9312, recall: 0.7578, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8895, scimark_benchmark: 2073.0024, usercpu_time_millis: 15.531, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 15.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1800.6737, usercpu_time_millis: 12.41, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 12.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7208, kappa: 0.3728, kb_relative_information_score: 142.2221, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7769, predictive_accuracy: 0.7547, prior_entropy: 0.9312, recall: 0.7547, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9019, scimark_benchmark: 1786.1415, usercpu_time_millis: 3.928, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 3.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1850.7879, usercpu_time_millis: 20.244, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 20.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -1.0406, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1832.2824, usercpu_time_millis: 4.481, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 4.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7336, kappa: 0.398, kb_relative_information_score: 194.4859, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7638, predictive_accuracy: 0.7578, prior_entropy: 0.9312, recall: 0.7578, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8587, scimark_benchmark: 1851.3495, usercpu_time_millis: 21.48, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 21.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7344, kappa: 0.4004, kb_relative_information_score: 175.2541, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.769, predictive_accuracy: 0.7599, prior_entropy: 0.9312, recall: 0.7599, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8758, scimark_benchmark: 1897.6222, usercpu_time_millis: 30.537, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 30.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 842.7304, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2891, scimark_benchmark: 1848.1462, usercpu_time_millis: 27.431, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 27.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8159, kappa: 0.5835, kb_relative_information_score: 320.6156, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8396, predictive_accuracy: 0.8278, prior_entropy: 0.9312, recall: 0.8278, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7654, scimark_benchmark: 1871.9601, usercpu_time_millis: 9.796, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 9.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 895.4304, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2577, scimark_benchmark: 2094.9454, usercpu_time_millis: 15.944, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 15.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 708.7608, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3949, scimark_benchmark: 1748.6032, usercpu_time_millis: 6.625, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 739.1754, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3629, scimark_benchmark: 1864.1085, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.6084, kappa: 0.1592, kb_relative_information_score: 89.8347, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7931, predictive_accuracy: 0.6973, prior_entropy: 0.9312, recall: 0.6973, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9328, scimark_benchmark: 1872.9496, usercpu_time_millis: 15.004, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 14.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8995, kappa: 0.7737, kb_relative_information_score: 475.2013, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9096, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6337, scimark_benchmark: 1848.1639, usercpu_time_millis: 22.028, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 22.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 684.5605, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.419, scimark_benchmark: 1841.9269, usercpu_time_millis: 7.019, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.5165, kb_relative_information_score: -57.2107, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0306, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.992, scimark_benchmark: 1776.4357, usercpu_time_millis: 27.459, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 27.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 866.2037, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2628, scimark_benchmark: 1867.6581, usercpu_time_millis: 18.15, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 18.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.5165, kb_relative_information_score: 32.5208, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.464, root_relative_squared_error: 0.975, scimark_benchmark: 1850.8786, usercpu_time_millis: 15.741, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 15.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9811, kappa: 0.958, kb_relative_information_score: 633.5191, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9817, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4731, scimark_benchmark: 1868.2531, usercpu_time_millis: 9.496, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 9.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8104, kappa: 0.5713, kb_relative_information_score: 325.2224, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.853, predictive_accuracy: 0.8267, prior_entropy: 0.9312, recall: 0.8267, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7521, scimark_benchmark: 1855.7549, usercpu_time_millis: 25.429, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 25.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 883.2132, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2573, scimark_benchmark: 1834.8564, usercpu_time_millis: 4.955, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 4.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1948.3023, usercpu_time_millis: 16.278, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 16.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7296, kappa: 0.3918, kb_relative_information_score: 156.8663, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7826, predictive_accuracy: 0.761, prior_entropy: 0.9312, recall: 0.761, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8873, scimark_benchmark: 1862.932, usercpu_time_millis: 5.258, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 5.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8706, kappa: 0.7078, kb_relative_information_score: 433.3303, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8877, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6681, scimark_benchmark: 1782.7421, usercpu_time_millis: 12.068, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 12.051,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7294, kappa: 0.3878, kb_relative_information_score: 232.2295, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7446, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8496, scimark_benchmark: 1978.9026, usercpu_time_millis: 2.733, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6503, kappa: 0.2323, kb_relative_information_score: 102.9439, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7637, predictive_accuracy: 0.715, prior_entropy: 0.9312, recall: 0.715, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9213, scimark_benchmark: 1838.9074, usercpu_time_millis: 7.594, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 7.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5165, kb_relative_information_score: -2.5214, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001, scimark_benchmark: 1869.1727, usercpu_time_millis: 20.241, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 20.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.717, kappa: 0.3642, kb_relative_information_score: 109.192, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7726, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9243, scimark_benchmark: 1905.3231, usercpu_time_millis: 11.211, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 11.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.5165, kb_relative_information_score: -4.46, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9998, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 898.0844, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2592, scimark_benchmark: 1870.5139, usercpu_time_millis: 16.316, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 791.183, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.3144, scimark_benchmark: 1868.1832, usercpu_time_millis: 16.256, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 16.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 699.8332, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4033, scimark_benchmark: 1844.1344, usercpu_time_millis: 5.764, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 5.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1843.3604, usercpu_time_millis: 11.816, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 11.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.5165, kb_relative_information_score: 6.389, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9948, scimark_benchmark: 1823.9433, usercpu_time_millis: 7.575, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 7.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 887.7332, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2568, scimark_benchmark: 1969.4681, usercpu_time_millis: 13.57, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 13.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9524, kappa: 0.894, kb_relative_information_score: 549.9235, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9541, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5551, scimark_benchmark: 1859.702, usercpu_time_millis: 9.264, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 9.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7051, kappa: 0.3396, kb_relative_information_score: 130.2694, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7685, predictive_accuracy: 0.7443, prior_entropy: 0.9312, recall: 0.7443, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9057, scimark_benchmark: 1844.3862, usercpu_time_millis: 12.474, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 12.459,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.5165, kb_relative_information_score: -78.4048, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0016, scimark_benchmark: 1867.5973, usercpu_time_millis: 5.099, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 5.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1872.0299, usercpu_time_millis: 25.661, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 25.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7577, kappa: 0.4521, kb_relative_information_score: 277.8244, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.786, predictive_accuracy: 0.7777, prior_entropy: 0.9312, recall: 0.7777, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.8108, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.126, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.5165, kb_relative_information_score: -0.1699, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1867.1802, usercpu_time_millis: 2.496, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7187, kappa: 0.3685, kb_relative_information_score: 141.2639, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7773, predictive_accuracy: 0.7537, prior_entropy: 0.9312, recall: 0.7537, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8976, scimark_benchmark: 1864.467, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 4.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.5165, kb_relative_information_score: 18.8467, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9852, scimark_benchmark: 1851.945, usercpu_time_millis: 12.753, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 12.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7331, kappa: 0.399, kb_relative_information_score: 159.3762, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7832, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.887, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7667, kappa: 0.4729, kb_relative_information_score: 272.8786, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8053, predictive_accuracy: 0.7881, prior_entropy: 0.9312, recall: 0.7881, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8064, scimark_benchmark: 1862.6199, usercpu_time_millis: 11.222, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 11.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1843.3604, usercpu_time_millis: 15.368, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 15.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 819.7616, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.2909, scimark_benchmark: 1853.4212, usercpu_time_millis: 14.271, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 14.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.6194, kappa: 0.1788, kb_relative_information_score: 93.167, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7888, predictive_accuracy: 0.7025, prior_entropy: 0.9312, recall: 0.7025, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9305, scimark_benchmark: 2173.4568, usercpu_time_millis: 7.931, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 7.919,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7789, kappa: 0.5, kb_relative_information_score: 288.6551, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.795, predictive_accuracy: 0.7923, prior_entropy: 0.9312, recall: 0.7923, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8008, scimark_benchmark: 1868.1466, usercpu_time_millis: 26.214, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 26.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 2035.049, usercpu_time_millis: 7.925, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1870.742, usercpu_time_millis: 3.092, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 3.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1871.9601, usercpu_time_millis: 8.088, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 8.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9093, kappa: 0.7968, kb_relative_information_score: 495.1668, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9134, predictive_accuracy: 0.9113, prior_entropy: 0.9312, recall: 0.9113, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6221, scimark_benchmark: 1842.4493, usercpu_time_millis: 14.957, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 14.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1863.995, usercpu_time_millis: 16.833, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 16.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1828.4655, usercpu_time_millis: 20.231, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 20.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6996, kappa: 0.3238, kb_relative_information_score: 140.6362, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7402, predictive_accuracy: 0.7338, prior_entropy: 0.9312, recall: 0.7338, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9072, scimark_benchmark: 1851.1514, usercpu_time_millis: 23.542, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 23.479,

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