Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.6792, kappa: 0.3608, kb_relative_information_score: 271.2144, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6831, predictive_accuracy: 0.6804, prior_entropy: 1, recall: 0.6804, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9323, scimark_benchmark: 1173.2892, usercpu_time_millis: 242.73, usercpu_time_millis_testing: 6.575, usercpu_time_millis_training: 236.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.6672, kappa: 0.3362, kb_relative_information_score: 222.7444, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6698, predictive_accuracy: 0.6681, prior_entropy: 1, recall: 0.6681, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9438, scimark_benchmark: 1261.7954, usercpu_time_millis: 281.817, usercpu_time_millis_testing: 8.668, usercpu_time_millis_training: 273.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1332.1434, usercpu_time_millis: 504.95, usercpu_time_millis_testing: 9.171, usercpu_time_millis_training: 495.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5718, kappa: 0.1454, kb_relative_information_score: 51.2623, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5733, predictive_accuracy: 0.5727, prior_entropy: 1, recall: 0.5727, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9908, scimark_benchmark: 1328.5564, usercpu_time_millis: 516.512, usercpu_time_millis_testing: 7.762, usercpu_time_millis_training: 508.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1262.4882, usercpu_time_millis: 23.045, usercpu_time_millis_testing: 2.085, usercpu_time_millis_training: 20.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7311, kappa: 0.4646, kb_relative_information_score: 386.7143, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7366, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9013, scimark_benchmark: 1261.917, usercpu_time_millis: 149.138, usercpu_time_millis_testing: 3.354, usercpu_time_millis_training: 145.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.6702, kappa: 0.3423, kb_relative_information_score: 242.502, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6733, predictive_accuracy: 0.6712, prior_entropy: 1, recall: 0.6712, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9399, scimark_benchmark: 1243.3334, usercpu_time_millis: 241.627, usercpu_time_millis_testing: 7.394, usercpu_time_millis_training: 234.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7209, kappa: 0.4438, kb_relative_information_score: 340.5017, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7254, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.913, scimark_benchmark: 1269.7794, usercpu_time_millis: 139.536, usercpu_time_millis_testing: 4.251, usercpu_time_millis_training: 135.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.6028, kappa: 0.2062, kb_relative_information_score: 107.02, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6034, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9745, scimark_benchmark: 1249.3113, usercpu_time_millis: 111.493, usercpu_time_millis_testing: 4.465, usercpu_time_millis_training: 107.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6333, kappa: 0.2677, kb_relative_information_score: 185.1045, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6347, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9548, scimark_benchmark: 1256.4126, usercpu_time_millis: 131.417, usercpu_time_millis_testing: 4.881, usercpu_time_millis_training: 126.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.6372, kappa: 0.2754, kb_relative_information_score: 187.1608, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6384, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9554, scimark_benchmark: 1267.8885, usercpu_time_millis: 40.211, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 38.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6564, kappa: 0.3146, kb_relative_information_score: 184.6944, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.659, predictive_accuracy: 0.6573, prior_entropy: 1, recall: 0.6573, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9537, scimark_benchmark: 1263.1199, usercpu_time_millis: 115.625, usercpu_time_millis_testing: 4.895, usercpu_time_millis_training: 110.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.6972, kappa: 0.3977, kb_relative_information_score: 314.7937, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7031, predictive_accuracy: 0.6988, prior_entropy: 1, recall: 0.6988, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9217, scimark_benchmark: 1266.9303, usercpu_time_millis: 133.789, usercpu_time_millis_testing: 3.09, usercpu_time_millis_training: 130.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.5896, kappa: 0.1792, kb_relative_information_score: 37.5946, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5896, predictive_accuracy: 0.5896, prior_entropy: 1, recall: 0.5896, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1250.7668, usercpu_time_millis: 14.964, usercpu_time_millis_testing: 1.789, usercpu_time_millis_training: 13.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.6058, kappa: 0.2115, kb_relative_information_score: 100.0632, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6058, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9755, scimark_benchmark: 1265.2588, usercpu_time_millis: 52.615, usercpu_time_millis_testing: 4.556, usercpu_time_millis_training: 48.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.685, kappa: 0.3715, kb_relative_information_score: 272.5609, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6875, predictive_accuracy: 0.6858, prior_entropy: 1, recall: 0.6858, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9313, scimark_benchmark: 1266.4724, usercpu_time_millis: 63.965, usercpu_time_millis_testing: 2.879, usercpu_time_millis_training: 61.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 175.9552, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6166, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9575, scimark_benchmark: 1250.5753, usercpu_time_millis: 55.34, usercpu_time_millis_testing: 2.889, usercpu_time_millis_training: 52.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6069, kappa: 0.2138, kb_relative_information_score: 21.5564, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.607, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1265.1303, usercpu_time_millis: 72.323, usercpu_time_millis_testing: 7.097, usercpu_time_millis_training: 65.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7028, kappa: 0.4077, kb_relative_information_score: 325.985, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7068, predictive_accuracy: 0.7038, prior_entropy: 1, recall: 0.7038, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9197, scimark_benchmark: 1248.1, usercpu_time_millis: 83.063, usercpu_time_millis_testing: 2.424, usercpu_time_millis_training: 80.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6188, kappa: 0.2377, kb_relative_information_score: 129.7428, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6189, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9679, scimark_benchmark: 1265.348, usercpu_time_millis: 120.823, usercpu_time_millis_testing: 5.294, usercpu_time_millis_training: 115.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.699, kappa: 0.4008, kb_relative_information_score: 307.6505, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7043, predictive_accuracy: 0.7004, prior_entropy: 1, recall: 0.7004, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9226, scimark_benchmark: 1240.9163, usercpu_time_millis: 239.11, usercpu_time_millis_testing: 5.149, usercpu_time_millis_training: 233.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1241.8484, usercpu_time_millis: 19.742, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 17.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6127, kappa: 0.2254, kb_relative_information_score: 138.8913, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6127, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9663, scimark_benchmark: 1247.5597, usercpu_time_millis: 60.017, usercpu_time_millis_testing: 2.976, usercpu_time_millis_training: 57.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 1073.6666, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.838, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7288, scimark_benchmark: 1294.1974, usercpu_time_millis: 5145.489, usercpu_time_millis_testing: 7.778, usercpu_time_millis_training: 5137.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.6389, kappa: 0.2785, kb_relative_information_score: 125.3281, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6397, predictive_accuracy: 0.6392, prior_entropy: 1, recall: 0.6392, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 1244.9303, usercpu_time_millis: 144.917, usercpu_time_millis_testing: 7.743, usercpu_time_millis_training: 137.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1256.5511, usercpu_time_millis: 14.323, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 13.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1242.7875, usercpu_time_millis: 18.087, usercpu_time_millis_testing: 2.058, usercpu_time_millis_training: 16.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6031, kappa: 0.2062, kb_relative_information_score: 25.0928, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6031, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1249.1765, usercpu_time_millis: 46.936, usercpu_time_millis_testing: 4.08, usercpu_time_millis_training: 42.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1257.7331, usercpu_time_millis: 20.06, usercpu_time_millis_testing: 2.466, usercpu_time_millis_training: 17.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7077, kappa: 0.4185, kb_relative_information_score: 338.2133, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7137, predictive_accuracy: 0.7092, prior_entropy: 1, recall: 0.7092, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9143, scimark_benchmark: 1240.3071, usercpu_time_millis: 495.555, usercpu_time_millis_testing: 12.124, usercpu_time_millis_training: 483.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.6119, kappa: 0.2238, kb_relative_information_score: 88.3364, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6119, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9776, scimark_benchmark: 1243.2885, usercpu_time_millis: 83.573, usercpu_time_millis_testing: 5.471, usercpu_time_millis_training: 78.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.634, kappa: 0.2685, kb_relative_information_score: 121.479, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6346, predictive_accuracy: 0.6342, prior_entropy: 1, recall: 0.6342, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9691, scimark_benchmark: 1257.5221, usercpu_time_millis: 95.456, usercpu_time_millis_testing: 5.321, usercpu_time_millis_training: 90.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6009, kappa: 0.2062, kb_relative_information_score: 251.1666, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6054, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9681, scimark_benchmark: 1242.7796, usercpu_time_millis: 11.864, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 10.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.588, kappa: 0.1762, kb_relative_information_score: 12.9016, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5881, predictive_accuracy: 0.5881, prior_entropy: 1, recall: 0.5881, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1241.9941, usercpu_time_millis: 29.885, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 26.916,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.651, kappa: 0.3031, kb_relative_information_score: 167.7025, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6526, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.958, scimark_benchmark: 1241.0423, usercpu_time_millis: 122.994, usercpu_time_millis_testing: 5.513, usercpu_time_millis_training: 117.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5676, kappa: 0.1354, kb_relative_information_score: 50.5147, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1261.5553, usercpu_time_millis: 41.984, usercpu_time_millis_testing: 3.553, usercpu_time_millis_training: 38.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.663, kappa: 0.3277, kb_relative_information_score: 234.5516, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6656, predictive_accuracy: 0.6638, prior_entropy: 1, recall: 0.6638, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9417, scimark_benchmark: 1247.5062, usercpu_time_millis: 200.788, usercpu_time_millis_testing: 6.122, usercpu_time_millis_training: 194.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 177.2707, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6146, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9579, scimark_benchmark: 1262.5554, usercpu_time_millis: 77.506, usercpu_time_millis_testing: 3.991, usercpu_time_millis_training: 73.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.6056, kappa: 0.2115, kb_relative_information_score: 121.8003, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.606, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9708, scimark_benchmark: 1258.2201, usercpu_time_millis: 43.435, usercpu_time_millis_testing: 2.289, usercpu_time_millis_training: 41.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5571, kappa: 0.1162, kb_relative_information_score: 43.5914, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5586, predictive_accuracy: 0.5581, prior_entropy: 1, recall: 0.5581, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1327.2789, usercpu_time_millis: 7503.808, usercpu_time_millis_testing: 7.454, usercpu_time_millis_training: 7496.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1315.2881, usercpu_time_millis: 560.729, usercpu_time_millis_testing: 8.699, usercpu_time_millis_training: 552.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.5817, kappa: 0.1638, kb_relative_information_score: 116.3719, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5821, predictive_accuracy: 0.5819, prior_entropy: 1, recall: 0.5819, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9814, scimark_benchmark: 1305.8915, usercpu_time_millis: 378.195, usercpu_time_millis_testing: 6.431, usercpu_time_millis_training: 371.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6581, kappa: 0.3177, kb_relative_information_score: 172.3782, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6602, predictive_accuracy: 0.6588, prior_entropy: 1, recall: 0.6588, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.478, root_relative_squared_error: 0.956, scimark_benchmark: 1254.7055, usercpu_time_millis: 428.793, usercpu_time_millis_testing: 14.555, usercpu_time_millis_training: 414.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7002, kappa: 0.4031, kb_relative_information_score: 286.0226, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7052, predictive_accuracy: 0.7015, prior_entropy: 1, recall: 0.7015, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9275, scimark_benchmark: 1262.0874, usercpu_time_millis: 211.124, usercpu_time_millis_testing: 4.915, usercpu_time_millis_training: 206.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.6669, kappa: 0.3346, kb_relative_information_score: 246.7205, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6681, predictive_accuracy: 0.6673, prior_entropy: 1, recall: 0.6673, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9404, scimark_benchmark: 1253.9147, usercpu_time_millis: 42.514, usercpu_time_millis_testing: 2.002, usercpu_time_millis_training: 40.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 53.5896, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9862, scimark_benchmark: 1244.7872, usercpu_time_millis: 46.505, usercpu_time_millis_testing: 3.289, usercpu_time_millis_training: 43.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7379, kappa: 0.4785, kb_relative_information_score: 415.5821, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7442, predictive_accuracy: 0.7392, prior_entropy: 1, recall: 0.7392, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 1243.5484, usercpu_time_millis: 471.341, usercpu_time_millis_testing: 6.6, usercpu_time_millis_training: 464.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.6009, kappa: 0.2023, kb_relative_information_score: 74.7718, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6014, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9815, scimark_benchmark: 1231.5939, usercpu_time_millis: 52.889, usercpu_time_millis_testing: 2.846, usercpu_time_millis_training: 50.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.623, kappa: 0.2462, kb_relative_information_score: 79.5199, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6231, predictive_accuracy: 0.6231, prior_entropy: 1, recall: 0.6231, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1251.0818, usercpu_time_millis: 110.759, usercpu_time_millis_testing: 6.041, usercpu_time_millis_training: 104.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.5915, kappa: 0.1831, kb_relative_information_score: 29.2115, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5916, predictive_accuracy: 0.5915, prior_entropy: 1, recall: 0.5915, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1251.5302, usercpu_time_millis: 125.189, usercpu_time_millis_testing: 11.837, usercpu_time_millis_training: 113.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.6164, kappa: 0.2331, kb_relative_information_score: 116.8805, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6167, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9712, scimark_benchmark: 1237.4841, usercpu_time_millis: 11.175, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 10.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8225, kappa: 0.6454, kb_relative_information_score: 756.9212, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8244, predictive_accuracy: 0.8227, prior_entropy: 1, recall: 0.8227, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.7992, scimark_benchmark: 1254.0821, usercpu_time_millis: 1518.416, usercpu_time_millis_testing: 16.592, usercpu_time_millis_training: 1501.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.6955, kappa: 0.3931, kb_relative_information_score: 277.0229, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6994, predictive_accuracy: 0.6965, prior_entropy: 1, recall: 0.6965, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9295, scimark_benchmark: 1258.0812, usercpu_time_millis: 400.661, usercpu_time_millis_testing: 8.872, usercpu_time_millis_training: 391.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6145, kappa: 0.2292, kb_relative_information_score: 70.1017, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9825, scimark_benchmark: 1254.1754, usercpu_time_millis: 38.114, usercpu_time_millis_testing: 2.976, usercpu_time_millis_training: 35.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.6657, kappa: 0.3338, kb_relative_information_score: 246.4092, mean_absolute_error: 0.4633, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6694, predictive_accuracy: 0.6669, prior_entropy: 1, recall: 0.6669, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9385, scimark_benchmark: 1241.2268, usercpu_time_millis: 209.152, usercpu_time_millis_testing: 5.662, usercpu_time_millis_training: 203.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.6243, kappa: 0.2492, kb_relative_information_score: 137.0591, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.625, predictive_accuracy: 0.6246, prior_entropy: 1, recall: 0.6246, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9657, scimark_benchmark: 1251.0151, usercpu_time_millis: 89.913, usercpu_time_millis_testing: 4.926, usercpu_time_millis_training: 84.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6077, kappa: 0.2154, kb_relative_information_score: 159.6838, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6077, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9622, scimark_benchmark: 1260.7903, usercpu_time_millis: 95.355, usercpu_time_millis_testing: 4.017, usercpu_time_millis_training: 91.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.6351, kappa: 0.2708, kb_relative_information_score: 124.3819, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6358, predictive_accuracy: 0.6354, prior_entropy: 1, recall: 0.6354, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9688, scimark_benchmark: 1257.8397, usercpu_time_millis: 140.178, usercpu_time_millis_testing: 6.875, usercpu_time_millis_training: 133.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7063, kappa: 0.4162, kb_relative_information_score: 332.4449, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7134, predictive_accuracy: 0.7081, prior_entropy: 1, recall: 0.7081, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9166, scimark_benchmark: 1241.9821, usercpu_time_millis: 277.406, usercpu_time_millis_testing: 5.477, usercpu_time_millis_training: 271.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6685, kappa: 0.3385, kb_relative_information_score: 211.0046, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6706, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466, scimark_benchmark: 1259.5366, usercpu_time_millis: 192.353, usercpu_time_millis_testing: 6.815, usercpu_time_millis_training: 185.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7361, kappa: 0.4746, kb_relative_information_score: 435.5339, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7418, predictive_accuracy: 0.7373, prior_entropy: 1, recall: 0.7373, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8886, scimark_benchmark: 1237.4125, usercpu_time_millis: 75.35, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 73.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7465, kappa: 0.4954, kb_relative_information_score: 444.6868, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7523, predictive_accuracy: 0.7477, prior_entropy: 1, recall: 0.7477, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8867, scimark_benchmark: 1268.3673, usercpu_time_millis: 356.656, usercpu_time_millis_testing: 6.621, usercpu_time_millis_training: 350.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7131, kappa: 0.4292, kb_relative_information_score: 339.713, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7191, predictive_accuracy: 0.7146, prior_entropy: 1, recall: 0.7146, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9144, scimark_benchmark: 1246.4875, usercpu_time_millis: 111.643, usercpu_time_millis_testing: 3.042, usercpu_time_millis_training: 108.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.6792, kappa: 0.3608, kb_relative_information_score: 267.9984, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6832, predictive_accuracy: 0.6804, prior_entropy: 1, recall: 0.6804, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9334, scimark_benchmark: 1245.9119, usercpu_time_millis: 135.587, usercpu_time_millis_testing: 4.532, usercpu_time_millis_training: 131.055,

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