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Supervised Classification on autoUniv-au7-700

Supervised Classification on autoUniv-au7-700

Task 9905 Supervised Classification autoUniv-au7-700 568 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.406, kappa: 0.1132, kb_relative_information_score: 73.1045, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4057, predictive_accuracy: 0.4086, prior_entropy: 1.5824, recall: 0.4086, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9831, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.4095, kappa: 0.1175, kb_relative_information_score: 73.4401, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4096, predictive_accuracy: 0.4114, prior_entropy: 1.5824, recall: 0.4114, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9833, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.3592, kappa: 0.1507, kb_relative_information_score: 100.3263, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3921, predictive_accuracy: 0.4471, prior_entropy: 1.5824, recall: 0.4471, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9652, scimark_benchmark: 1040.265, usercpu_time_millis: 510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.3516, kappa: 0.1331, kb_relative_information_score: 85.624, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3869, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9626, scimark_benchmark: 776.4516, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.3563, kappa: 0.13, kb_relative_information_score: 98.687, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3171, predictive_accuracy: 0.4329, prior_entropy: 1.5824, recall: 0.4329, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9835, scimark_benchmark: 1015.99, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.4466, kappa: 0.1696, kb_relative_information_score: 172.0984, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4779, predictive_accuracy: 0.4429, prior_entropy: 1.5824, recall: 0.4429, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0583, scimark_benchmark: 1005.0832, usercpu_time_millis: 200, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.312, kappa: -0.0022, kb_relative_information_score: 98.5399, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3631, predictive_accuracy: 0.3243, prior_entropy: 1.5824, recall: 0.3243, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5652, root_relative_squared_error: 1.2001, scimark_benchmark: 1193.2729, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.4627, kappa: 0.1941, kb_relative_information_score: 155.8605, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4686, predictive_accuracy: 0.4614, prior_entropy: 1.5824, recall: 0.4614, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9611, scimark_benchmark: 1229.3318, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.4577, kappa: 0.1842, kb_relative_information_score: 157.59, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4691, predictive_accuracy: 0.4543, prior_entropy: 1.5824, recall: 0.4543, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9966, scimark_benchmark: 725.6892, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.4347, kappa: 0.1562, kb_relative_information_score: 139.3402, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.439, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9871, scimark_benchmark: 1130.5622, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.3872, kappa: 0.1204, kb_relative_information_score: 86.9019, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4075, predictive_accuracy: 0.4071, prior_entropy: 1.5824, recall: 0.4071, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9769, scimark_benchmark: 1223.7927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.4519, kappa: 0.1738, kb_relative_information_score: 167.7931, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4549, predictive_accuracy: 0.45, prior_entropy: 1.5824, recall: 0.45, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0501, scimark_benchmark: 1002.9568, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.3872, kappa: 0.1204, kb_relative_information_score: 86.8572, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4075, predictive_accuracy: 0.4071, prior_entropy: 1.5824, recall: 0.4071, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.977, scimark_benchmark: 767.5062, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.4437, kappa: 0.1646, kb_relative_information_score: 170.2418, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4534, predictive_accuracy: 0.4414, prior_entropy: 1.5824, recall: 0.4414, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.1437, scimark_benchmark: 1289.753, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.3841, kappa: 0.0768, kb_relative_information_score: 73.4797, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3903, predictive_accuracy: 0.3829, prior_entropy: 1.5824, recall: 0.3829, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0178, scimark_benchmark: 1343.7112, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.366, kappa: 0.0515, kb_relative_information_score: 90.4192, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3853, predictive_accuracy: 0.3643, prior_entropy: 1.5824, recall: 0.3643, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0613, scimark_benchmark: 1092.7597, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.4212, kappa: 0.1326, kb_relative_information_score: 130.2252, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.42, predictive_accuracy: 0.4243, prior_entropy: 1.5824, recall: 0.4243, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0655, scimark_benchmark: 683.1539, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.4178, kappa: 0.1526, kb_relative_information_score: 103.2057, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4259, predictive_accuracy: 0.4314, prior_entropy: 1.5824, recall: 0.4314, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9863, scimark_benchmark: 1145.1713, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.462, kappa: 0.221, kb_relative_information_score: 164.412, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5023, predictive_accuracy: 0.4886, prior_entropy: 1.5824, recall: 0.4886, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9394, scimark_benchmark: 1167.3161, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.4934, kappa: 0.2409, kb_relative_information_score: 149.9454, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4929, predictive_accuracy: 0.4943, prior_entropy: 1.5824, recall: 0.4943, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9304, scimark_benchmark: 1096.585, usercpu_time_millis: 370, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.5068, kappa: 0.2671, kb_relative_information_score: 187.074, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5108, predictive_accuracy: 0.51, prior_entropy: 1.5824, recall: 0.51, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9642, scimark_benchmark: 1208.6083, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, f_measure: 0.3904, kappa: 0.0851, kb_relative_information_score: 113.8759, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3916, predictive_accuracy: 0.39, prior_entropy: 1.5824, recall: 0.39, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6377, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.2486, kappa: -0.003, kb_relative_information_score: 68.1863, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.2447, predictive_accuracy: 0.3471, prior_entropy: 1.5824, recall: 0.3471, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6597, root_relative_squared_error: 1.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.3289, kappa: 0.165, kb_relative_information_score: 156.0473, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3647, predictive_accuracy: 0.4257, prior_entropy: 1.5824, recall: 0.4257, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6188, root_relative_squared_error: 1.3137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5417, kappa: 0.3105, kb_relative_information_score: 258.9216, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5421, predictive_accuracy: 0.5414, prior_entropy: 1.5824, recall: 0.5414, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.5104, kappa: 0.2636, kb_relative_information_score: 228.4534, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5108, predictive_accuracy: 0.51, prior_entropy: 1.5824, recall: 0.51, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5715, root_relative_squared_error: 1.2135, usercpu_time_millis: 382.374, usercpu_time_millis_testing: 9.47, usercpu_time_millis_training: 372.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.5211, kappa: 0.2829, kb_relative_information_score: 240.2114, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5233, predictive_accuracy: 0.5214, prior_entropy: 1.5824, recall: 0.5214, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1993, usercpu_time_millis: 14.56, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 13.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.4209, kappa: 0.1348, kb_relative_information_score: 147.1768, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4185, predictive_accuracy: 0.4257, prior_entropy: 1.5824, recall: 0.4257, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6188, root_relative_squared_error: 1.3137, usercpu_time_millis: 1.553, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.5307, kappa: 0.2952, kb_relative_information_score: 248.5069, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5324, predictive_accuracy: 0.53, prior_entropy: 1.5824, recall: 0.53, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5598, root_relative_squared_error: 1.1885, usercpu_time_millis: 0.232, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.3968, kappa: 0.1015, kb_relative_information_score: 124.8923, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3978, predictive_accuracy: 0.4014, prior_entropy: 1.5824, recall: 0.4014, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6317, root_relative_squared_error: 1.3412, usercpu_time_millis: 40.175, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 39.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.5115, kappa: 0.2676, kb_relative_information_score: 231.2862, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5103, predictive_accuracy: 0.5129, prior_entropy: 1.5824, recall: 0.5129, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5699, root_relative_squared_error: 1.2099, usercpu_time_millis: 60.392, usercpu_time_millis_testing: 12.553, usercpu_time_millis_training: 47.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.491, kappa: 0.2376, kb_relative_information_score: 212.1002, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4893, predictive_accuracy: 0.4929, prior_entropy: 1.5824, recall: 0.4929, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5815, root_relative_squared_error: 1.2345, usercpu_time_millis: 9.157, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 8.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.4878, kappa: 0.2322, kb_relative_information_score: 208.7148, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4864, predictive_accuracy: 0.49, prior_entropy: 1.5824, recall: 0.49, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.238, usercpu_time_millis: 7.85, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 7.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.4911, kappa: 0.2345, kb_relative_information_score: 209.5612, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4925, predictive_accuracy: 0.49, prior_entropy: 1.5824, recall: 0.49, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.238, usercpu_time_millis: 3.272, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 2.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.3694, kappa: 0.0826, kb_relative_information_score: 109.7985, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3814, predictive_accuracy: 0.3829, prior_entropy: 1.5824, recall: 0.3829, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6414, root_relative_squared_error: 1.3619, usercpu_time_millis: 0.287, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.447, kappa: 0.1696, kb_relative_information_score: 168.0767, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4506, predictive_accuracy: 0.4457, prior_entropy: 1.5824, recall: 0.4457, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6079, root_relative_squared_error: 1.2906, usercpu_time_millis: 1.486, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.4178, kappa: 0.15, kb_relative_information_score: 154.1368, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4249, predictive_accuracy: 0.43, prior_entropy: 1.5824, recall: 0.43, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.3088, usercpu_time_millis: 0.771, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 0.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1815, kb_relative_information_score: 70.6062, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.1225, predictive_accuracy: 0.35, prior_entropy: 1.5824, recall: 0.35, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6583, root_relative_squared_error: 1.3976, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.4155, kappa: 0.1286, kb_relative_information_score: 143.134, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4127, predictive_accuracy: 0.4214, prior_entropy: 1.5824, recall: 0.4214, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.3186, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.3969, kappa: 0.098, kb_relative_information_score: 123.4025, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3953, predictive_accuracy: 0.4, prior_entropy: 1.5824, recall: 0.4, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.3428, usercpu_time_millis: 2.428, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 2.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.4133, kappa: 0.1263, kb_relative_information_score: 141.6721, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4102, predictive_accuracy: 0.42, prior_entropy: 1.5824, recall: 0.42, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.3202, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.4776, kappa: 0.2163, kb_relative_information_score: 199.0972, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4774, predictive_accuracy: 0.48, prior_entropy: 1.5824, recall: 0.48, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2501, usercpu_time_millis: 64.625, usercpu_time_millis_testing: 4.186, usercpu_time_millis_training: 60.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.426, kappa: 0.1421, kb_relative_information_score: 151.5414, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4237, predictive_accuracy: 0.43, prior_entropy: 1.5824, recall: 0.43, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.3088, usercpu_time_millis: 1.115, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.387, kappa: 0.0801, kb_relative_information_score: 110.6933, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3873, predictive_accuracy: 0.3871, prior_entropy: 1.5824, recall: 0.3871, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6392, root_relative_squared_error: 1.3571, usercpu_time_millis: 0.288, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.4807, kappa: 0.2611, kb_relative_information_score: 229.7955, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5309, predictive_accuracy: 0.5157, prior_entropy: 1.5824, recall: 0.5157, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.2064, usercpu_time_millis: 2.945, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 2.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.5099, kappa: 0.2658, kb_relative_information_score: 229.7054, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5086, predictive_accuracy: 0.5114, prior_entropy: 1.5824, recall: 0.5114, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5707, root_relative_squared_error: 1.2117, usercpu_time_millis: 2.666, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 1.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.3517, kappa: 0.0257, kb_relative_information_score: 76.5949, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.352, predictive_accuracy: 0.3514, prior_entropy: 1.5824, recall: 0.3514, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6576, root_relative_squared_error: 1.3961, usercpu_time_millis: 2.952, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 2.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.4081, kappa: 0.1194, kb_relative_information_score: 137.5033, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.405, predictive_accuracy: 0.4157, prior_entropy: 1.5824, recall: 0.4157, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6241, root_relative_squared_error: 1.3251, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.4457, kappa: 0.1638, kb_relative_information_score: 162.6837, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5016, predictive_accuracy: 0.44, prior_entropy: 1.5824, recall: 0.44, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.611, root_relative_squared_error: 1.2973, usercpu_time_millis: 1.127, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.48, kappa: 0.223, kb_relative_information_score: 204.4896, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5025, predictive_accuracy: 0.4871, prior_entropy: 1.5824, recall: 0.4871, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5847, root_relative_squared_error: 1.2415, usercpu_time_millis: 0.796, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.2507, kappa: -0.005, kb_relative_information_score: 66.8574, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.2374, predictive_accuracy: 0.3457, prior_entropy: 1.5824, recall: 0.3457, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6604, root_relative_squared_error: 1.4022, usercpu_time_millis: 1.543, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.4064, kappa: 0.1319, kb_relative_information_score: 95.3872, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.416, predictive_accuracy: 0.4171, prior_entropy: 1.5824, recall: 0.4171, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9936, scimark_benchmark: 1253.9066, usercpu_time_millis: 12540, usercpu_time_millis_training: 12540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.4101, kappa: 0.1214, kb_relative_information_score: 86.7159, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4077, predictive_accuracy: 0.4157, prior_entropy: 1.5824, recall: 0.4157, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9941, scimark_benchmark: 1250.2784, usercpu_time_millis: 480, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.3517, kappa: 0.0257, kb_relative_information_score: 76.5395, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.352, predictive_accuracy: 0.3514, prior_entropy: 1.5824, recall: 0.3514, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.656, root_relative_squared_error: 1.3928, scimark_benchmark: 1218.6023, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.4809, kappa: 0.2245, kb_relative_information_score: 173.4903, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4784, predictive_accuracy: 0.4843, prior_entropy: 1.5824, recall: 0.4843, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9713, scimark_benchmark: 1239.2259, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.4448, kappa: 0.1647, kb_relative_information_score: 116.0222, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4454, predictive_accuracy: 0.4443, prior_entropy: 1.5824, recall: 0.4443, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9715, scimark_benchmark: 1237.9753, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.3987, kappa: 0.0937, kb_relative_information_score: 115.589, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4043, predictive_accuracy: 0.3957, prior_entropy: 1.5824, recall: 0.3957, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.524, root_relative_squared_error: 1.1125, scimark_benchmark: 1237.8253, usercpu_time_millis: 1850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.3517, kappa: 0.0257, kb_relative_information_score: 76.5395, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.352, predictive_accuracy: 0.3514, prior_entropy: 1.5824, recall: 0.3514, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.656, root_relative_squared_error: 1.3928, scimark_benchmark: 473.1656, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.5099, kappa: 0.2658, kb_relative_information_score: 216.2722, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5086, predictive_accuracy: 0.5114, prior_entropy: 1.5824, recall: 0.5114, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.1153, scimark_benchmark: 473.1656, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.4155, kappa: 0.1286, kb_relative_information_score: 72.1383, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4127, predictive_accuracy: 0.4214, prior_entropy: 1.5824, recall: 0.4214, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9891, scimark_benchmark: 1254.1389, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.4178, kappa: 0.15, kb_relative_information_score: 104.6494, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4249, predictive_accuracy: 0.43, prior_entropy: 1.5824, recall: 0.43, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9875, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.3516, kappa: 0.1331, kb_relative_information_score: 85.624, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3869, predictive_accuracy: 0.4357, prior_entropy: 1.5824, recall: 0.4357, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9626, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.4178, kappa: 0.1526, kb_relative_information_score: 103.2057, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4259, predictive_accuracy: 0.4314, prior_entropy: 1.5824, recall: 0.4314, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9863, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.4379, kappa: 0.1989, kb_relative_information_score: 131.2558, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4699, predictive_accuracy: 0.4586, prior_entropy: 1.5824, recall: 0.4586, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9527, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.4178, kappa: 0.1526, kb_relative_information_score: 103.2057, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4259, predictive_accuracy: 0.4314, prior_entropy: 1.5824, recall: 0.4314, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9863, scimark_benchmark: 1248.2165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.5099, kappa: 0.2658, kb_relative_information_score: 216.2722, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5086, predictive_accuracy: 0.5114, prior_entropy: 1.5824, recall: 0.5114, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.1153,

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