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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261557 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.5213, kb_relative_information_score: 19.8529, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9726, scimark_benchmark: 1751.3584, usercpu_time_millis: 1.548, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.5213, kb_relative_information_score: -2.6116, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1754.653, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.6409, kappa: 0.2097, kb_relative_information_score: 80.0254, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7682, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9081, scimark_benchmark: 1863.066, usercpu_time_millis: 1.78, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8489, kappa: 0.6621, kb_relative_information_score: 297.1148, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8486, predictive_accuracy: 0.8503, prior_entropy: 0.9279, recall: 0.8503, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6722, scimark_benchmark: 1860.7926, usercpu_time_millis: 2.013, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.5213, kb_relative_information_score: -4.9875, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9995, scimark_benchmark: 1747.1847, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7453, kappa: 0.4258, kb_relative_information_score: 129.3539, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8315, predictive_accuracy: 0.7804, prior_entropy: 0.9279, recall: 0.7804, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8472, scimark_benchmark: 1977.3455, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.5213, kb_relative_information_score: 5.8947, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9907, scimark_benchmark: 1862.5409, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5213, kb_relative_information_score: -0.9664, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.997, scimark_benchmark: 1725.2907, usercpu_time_millis: 1.714, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 1.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.5213, kb_relative_information_score: 40.801, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9472, scimark_benchmark: 1861.5089, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, f_measure: 0.5213, kb_relative_information_score: -2.8843, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9981, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.847, kappa: 0.6517, kb_relative_information_score: 178.6067, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8738, predictive_accuracy: 0.8569, prior_entropy: 0.9279, recall: 0.8569, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7846, scimark_benchmark: 1971.3297, usercpu_time_millis: 0.536, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.5213, kb_relative_information_score: 28.5264, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9616, scimark_benchmark: 1837.8654, usercpu_time_millis: 1.173, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5213, kb_relative_information_score: -3.2677, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1861.5089, usercpu_time_millis: 0.879, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: -0.7131, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.3764, usercpu_time_millis: 0.304, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.5213, kb_relative_information_score: -0.0094, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1799.4604, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.5213, kb_relative_information_score: 3.139, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9915, scimark_benchmark: 1808.3229, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.6517, kappa: 0.2349, kb_relative_information_score: 84.7115, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8047, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8953, scimark_benchmark: 1754.1911, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.6546, kappa: 0.2405, kb_relative_information_score: 87.1376, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8055, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8946, scimark_benchmark: 1863.9794, usercpu_time_millis: 2.854, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.1525, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 2166.8354, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.5213, kb_relative_information_score: 39.1445, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9519, scimark_benchmark: 1860.2646, usercpu_time_millis: 0.549, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.9555, kb_relative_information_score: 403.5241, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4575, scimark_benchmark: 1857.3401, usercpu_time_millis: 5.543, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 4.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.5213, kb_relative_information_score: -0.4627, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1862.0369, usercpu_time_millis: 0.473, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9101, kappa: 0.7961, kb_relative_information_score: 245.3166, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9225, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.701, scimark_benchmark: 1809.7063, usercpu_time_millis: 4.614, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 4.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9389, kappa: 0.8626, kb_relative_information_score: 280.6381, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9426, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6509, scimark_benchmark: 1863.5941, usercpu_time_millis: 6.364, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 5.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.6235, kappa: 0.1796, kb_relative_information_score: 83.3255, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.786, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.897, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.423, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 2.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: 0.5177, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8168, kappa: 0.5829, kb_relative_information_score: 157.3845, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8553, predictive_accuracy: 0.8319, prior_entropy: 0.9279, recall: 0.8319, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.81, scimark_benchmark: 1847.7217, usercpu_time_millis: 1.524, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5213, kb_relative_information_score: -3.8937, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1859.1656, usercpu_time_millis: 1.304, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.5213, kb_relative_information_score: 6.7161, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9885, scimark_benchmark: 1864.4376, usercpu_time_millis: 0.363, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5213, kb_relative_information_score: -0.2787, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1862.4223, usercpu_time_millis: 0.502, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.6463, kappa: 0.2222, kb_relative_information_score: 68.1168, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.786, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9106, scimark_benchmark: 1851.8572, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.5619, kappa: 0.069, kb_relative_information_score: 66.7854, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7828, predictive_accuracy: 0.6755, prior_entropy: 0.9279, recall: 0.6755, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9161, scimark_benchmark: 1865.7826, usercpu_time_millis: 0.522, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8627, kappa: 0.6883, kb_relative_information_score: 189.5475, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8749, predictive_accuracy: 0.8686, prior_entropy: 0.9279, recall: 0.8686, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7756, scimark_benchmark: 1987.0086, usercpu_time_millis: 5.488, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 4.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5213, kb_relative_information_score: -1.6264, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1808.5541, usercpu_time_millis: 1.367, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8873, kappa: 0.7442, kb_relative_information_score: 207.7391, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7459, scimark_benchmark: 1875.5079, usercpu_time_millis: 4.338, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 3.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 81.469, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9034, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.976, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 2.428,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.958, kappa: 0.906, kb_relative_information_score: 299.4104, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.959, predictive_accuracy: 0.9584, prior_entropy: 0.9279, recall: 0.9584, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.6177, scimark_benchmark: 1868.2412, usercpu_time_millis: 2.173, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8335, kappa: 0.6209, kb_relative_information_score: 165.5117, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8634, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7972, scimark_benchmark: 1864.4376, usercpu_time_millis: 4.937, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 4.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8494, kappa: 0.6571, kb_relative_information_score: 168.7365, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8829, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7961, scimark_benchmark: 1850.1561, usercpu_time_millis: 2.695, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.5213, kb_relative_information_score: 36.4518, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9507, scimark_benchmark: 1746.0305, usercpu_time_millis: 0.974, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9867, kappa: 0.9707, kb_relative_information_score: 512.3832, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 0.9279, recall: 0.9867, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2812, scimark_benchmark: 1856.7467, usercpu_time_millis: 5.497, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 4.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9345, kappa: 0.8534, kb_relative_information_score: 367.2159, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9352, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5392, scimark_benchmark: 1837.0374, usercpu_time_millis: 4.513, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 3.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8454, kappa: 0.6481, kb_relative_information_score: 167.14, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.871, predictive_accuracy: 0.8552, prior_entropy: 0.9279, recall: 0.8552, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7974, scimark_benchmark: 1861.9066, usercpu_time_millis: 4.014, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.5213, kb_relative_information_score: 71.7101, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.914, scimark_benchmark: 1837.4865, usercpu_time_millis: 3.505, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 2.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5213, kb_relative_information_score: -0.1752, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9967, scimark_benchmark: 1853.321, usercpu_time_millis: 1.095, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.5213, kb_relative_information_score: -0.783, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9967, scimark_benchmark: 1836.979, usercpu_time_millis: 1.793, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7926, kappa: 0.5294, kb_relative_information_score: 142.6268, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8558, predictive_accuracy: 0.8153, prior_entropy: 0.9279, recall: 0.8153, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.394, root_relative_squared_error: 0.83, scimark_benchmark: 1779.3943, usercpu_time_millis: 1.246, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.5213, kb_relative_information_score: -3.8724, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9962, scimark_benchmark: 1760.3959, usercpu_time_millis: 1.458, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5213, kb_relative_information_score: 0.255, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1757.3788, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.7806, kappa: 0.5017, kb_relative_information_score: 135.4786, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8349, predictive_accuracy: 0.8037, prior_entropy: 0.9279, recall: 0.8037, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8369, scimark_benchmark: 1859.8793, usercpu_time_millis: 1.905, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7679, kappa: 0.4751, kb_relative_information_score: 144.0737, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8449, predictive_accuracy: 0.797, prior_entropy: 0.9279, recall: 0.797, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8291, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.725, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 540.7725, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1861, scimark_benchmark: 1759.2023, usercpu_time_millis: 6.139, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 5.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8873, kappa: 0.7442, kb_relative_information_score: 202.0063, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.752, scimark_benchmark: 1773.556, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 3.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 532.5475, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2242, scimark_benchmark: 1749.7114, usercpu_time_millis: 5.758, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 5.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.99, kappa: 0.9779, kb_relative_information_score: 400.2566, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4591, scimark_benchmark: 1766.3561, usercpu_time_millis: 4.563, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 4.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7755, kappa: 0.4906, kb_relative_information_score: 126.4206, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.835, predictive_accuracy: 0.8003, prior_entropy: 0.9279, recall: 0.8003, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8463, scimark_benchmark: 1786.1824, usercpu_time_millis: 3.217, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 2.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 57.9058, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9266, scimark_benchmark: 1759.0068, usercpu_time_millis: 2.023, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 1.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9249, kappa: 0.8304, kb_relative_information_score: 276.709, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9309, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6538, scimark_benchmark: 1737.5407, usercpu_time_millis: 5.273, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 4.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5213, kb_relative_information_score: -0.4222, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1761.718, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.5213, kb_relative_information_score: 24.0056, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9673, scimark_benchmark: 1750.8365, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.5319, kappa: 0.0157, kb_relative_information_score: 44.4924, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9374, scimark_benchmark: 1761.5701, usercpu_time_millis: 2.061, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.5265, kappa: 0.0028, kb_relative_information_score: 41.5317, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5694, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9487, scimark_benchmark: 1765.8881, usercpu_time_millis: 2.078, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.5213, kb_relative_information_score: 0.4651, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1756.6054, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.5213, kb_relative_information_score: 53.7107, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9328, scimark_benchmark: 1793.8477, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7509, kappa: 0.4376, kb_relative_information_score: 126.3676, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.83, predictive_accuracy: 0.7837, prior_entropy: 0.9279, recall: 0.7837, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8479, scimark_benchmark: 1723.1582, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.5213, kb_relative_information_score: 2.9993, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9895, scimark_benchmark: 1780.3425, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.93,

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