OpenML
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: 0.7716, f_measure: 0.6965, kappa: 0.3954, kb_relative_information_score: 262.3748, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.701, predictive_accuracy: 0.6977, prior_entropy: 1, recall: 0.6977, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9331, scimark_benchmark: 1279.4388, usercpu_time_millis: 157.528, usercpu_time_millis_testing: 4.414, usercpu_time_millis_training: 153.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.6401, kappa: 0.2808, kb_relative_information_score: 137.1318, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6409, predictive_accuracy: 0.6404, prior_entropy: 1, recall: 0.6404, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9651, scimark_benchmark: 1292.3075, usercpu_time_millis: 62.565, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 59.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7022, kappa: 0.4062, kb_relative_information_score: 273.8503, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7054, predictive_accuracy: 0.7031, prior_entropy: 1, recall: 0.7031, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9301, scimark_benchmark: 1293.6823, usercpu_time_millis: 358.026, usercpu_time_millis_testing: 9.412, usercpu_time_millis_training: 348.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.6968, kappa: 0.3954, kb_relative_information_score: 288.4461, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7001, predictive_accuracy: 0.6977, prior_entropy: 1, recall: 0.6977, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9267, scimark_benchmark: 1295.339, usercpu_time_millis: 131.578, usercpu_time_millis_testing: 4.319, usercpu_time_millis_training: 127.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.6062, kappa: 0.2123, kb_relative_information_score: 35.8822, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6062, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9907, scimark_benchmark: 1292.7922, usercpu_time_millis: 30.237, usercpu_time_millis_testing: 2.993, usercpu_time_millis_training: 27.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 87.8755, mean_absolute_error: 0.4876, 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: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9778, scimark_benchmark: 1286.2291, usercpu_time_millis: 30.267, usercpu_time_millis_testing: 2.622, usercpu_time_millis_training: 27.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.6276, kappa: 0.2562, kb_relative_information_score: 150.4235, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6288, predictive_accuracy: 0.6281, prior_entropy: 1, recall: 0.6281, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9635, scimark_benchmark: 1264.8398, usercpu_time_millis: 16.098, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 14.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6564, kappa: 0.3131, kb_relative_information_score: 160.8391, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6568, predictive_accuracy: 0.6565, prior_entropy: 1, recall: 0.6565, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9602, scimark_benchmark: 1278.4289, usercpu_time_millis: 78.861, usercpu_time_millis_testing: 4.199, usercpu_time_millis_training: 74.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.605, kappa: 0.21, kb_relative_information_score: 28.196, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.605, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1291.5962, usercpu_time_millis: 98.965, usercpu_time_millis_testing: 7.991, usercpu_time_millis_training: 90.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6104, kappa: 0.2208, kb_relative_information_score: 85.8394, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6104, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9782, scimark_benchmark: 1297.5441, usercpu_time_millis: 44.067, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 40.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.598, kappa: 0.1962, kb_relative_information_score: 30.1233, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5981, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1301.5363, usercpu_time_millis: 90.091, usercpu_time_millis_testing: 8.566, usercpu_time_millis_training: 81.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6287, kappa: 0.2577, kb_relative_information_score: 110.7009, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6291, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9722, scimark_benchmark: 1270.3349, usercpu_time_millis: 82.951, usercpu_time_millis_testing: 5.093, usercpu_time_millis_training: 77.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 59.2223, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849, scimark_benchmark: 1273.112, usercpu_time_millis: 23.304, usercpu_time_millis_testing: 1.782, usercpu_time_millis_training: 21.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.646, kappa: 0.2938, kb_relative_information_score: 184.9583, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6485, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9535, scimark_benchmark: 1293.9081, usercpu_time_millis: 177.154, usercpu_time_millis_testing: 7.302, usercpu_time_millis_training: 169.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.5204, kappa: 0.0408, kb_relative_information_score: 32.8497, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5204, predictive_accuracy: 0.5204, prior_entropy: 1, recall: 0.5204, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0061, scimark_benchmark: 1300.0425, usercpu_time_millis: 9.882, usercpu_time_millis_testing: 1.469, usercpu_time_millis_training: 8.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.6263, kappa: 0.2531, kb_relative_information_score: 120.0089, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6269, predictive_accuracy: 0.6265, prior_entropy: 1, recall: 0.6265, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9697, scimark_benchmark: 1299.365, usercpu_time_millis: 43.346, usercpu_time_millis_testing: 2.882, usercpu_time_millis_training: 40.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 93.677, mean_absolute_error: 0.4866, 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: 0.9732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9778, scimark_benchmark: 1284.0533, usercpu_time_millis: 38.795, usercpu_time_millis_testing: 3.047, usercpu_time_millis_training: 35.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6107, kappa: 0.2215, kb_relative_information_score: 70.4334, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9821, scimark_benchmark: 1278.5045, usercpu_time_millis: 22.8, usercpu_time_millis_testing: 1.85, usercpu_time_millis_training: 20.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6068, kappa: 0.2138, kb_relative_information_score: 97.6745, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6071, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9763, scimark_benchmark: 1290.8599, usercpu_time_millis: 15.117, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 13.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.56, kappa: 0.12, kb_relative_information_score: 4.7031, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1285.525, usercpu_time_millis: 15.185, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 13.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.6955, kappa: 0.3923, kb_relative_information_score: 264.8838, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.698, predictive_accuracy: 0.6962, prior_entropy: 1, recall: 0.6962, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9321, scimark_benchmark: 1290.5694, usercpu_time_millis: 316.739, usercpu_time_millis_testing: 10.152, usercpu_time_millis_training: 306.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.54, kappa: 0.08, kb_relative_information_score: 113.6351, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.54, predictive_accuracy: 0.54, prior_entropy: 1, recall: 0.54, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5264, root_relative_squared_error: 1.0527, scimark_benchmark: 1279.154, usercpu_time_millis: 9.339, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 8.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.724, kappa: 0.4508, kb_relative_information_score: 368.4746, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.73, predictive_accuracy: 0.7254, prior_entropy: 1, recall: 0.7254, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9057, scimark_benchmark: 1272.9744, usercpu_time_millis: 183.286, usercpu_time_millis_testing: 4.705, usercpu_time_millis_training: 178.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.6935, kappa: 0.3892, kb_relative_information_score: 283.2037, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6974, predictive_accuracy: 0.6946, prior_entropy: 1, recall: 0.6946, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9287, scimark_benchmark: 1267.9585, usercpu_time_millis: 72.073, usercpu_time_millis_testing: 2.692, usercpu_time_millis_training: 69.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6035, kappa: 0.2069, kb_relative_information_score: 53.5972, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6035, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, 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: 1267.1549, usercpu_time_millis: 65.316, usercpu_time_millis_testing: 4.891, usercpu_time_millis_training: 60.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6364, kappa: 0.2738, kb_relative_information_score: 198.4608, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6377, predictive_accuracy: 0.6369, prior_entropy: 1, recall: 0.6369, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9504, scimark_benchmark: 1266.2929, usercpu_time_millis: 152.567, usercpu_time_millis_testing: 6.375, usercpu_time_millis_training: 146.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 98.0532, mean_absolute_error: 0.4861, 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: 0.9722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9755, scimark_benchmark: 1297.9318, usercpu_time_millis: 61.451, usercpu_time_millis_testing: 4.292, usercpu_time_millis_training: 57.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6361, kappa: 0.2723, kb_relative_information_score: 152.6638, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6362, predictive_accuracy: 0.6362, prior_entropy: 1, recall: 0.6362, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9635, scimark_benchmark: 1273.5069, usercpu_time_millis: 39.171, usercpu_time_millis_testing: 2.077, usercpu_time_millis_training: 37.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6726, kappa: 0.3469, kb_relative_information_score: 209.1648, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6752, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466, scimark_benchmark: 1293.0628, usercpu_time_millis: 127.878, usercpu_time_millis_testing: 4.283, usercpu_time_millis_training: 123.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.5954, kappa: 0.1908, kb_relative_information_score: 25.3529, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5954, predictive_accuracy: 0.5954, prior_entropy: 1, recall: 0.5954, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1262.2257, usercpu_time_millis: 26.797, usercpu_time_millis_testing: 2.836, usercpu_time_millis_training: 23.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.533, kappa: 0.0662, kb_relative_information_score: 37.1108, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5331, predictive_accuracy: 0.5331, prior_entropy: 1, recall: 0.5331, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1294.707, usercpu_time_millis: 15.025, usercpu_time_millis_testing: 1.414, usercpu_time_millis_training: 13.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.6642, kappa: 0.3292, kb_relative_information_score: 196.9127, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6655, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9497, scimark_benchmark: 1293.7966, usercpu_time_millis: 91.357, usercpu_time_millis_testing: 4.223, usercpu_time_millis_training: 87.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.6112, kappa: 0.2223, kb_relative_information_score: 46.8412, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6112, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, scimark_benchmark: 1300.2004, usercpu_time_millis: 38.922, usercpu_time_millis_testing: 3.51, usercpu_time_millis_training: 35.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, 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: 1299.0049, usercpu_time_millis: 21.917, usercpu_time_millis_testing: 2.742, usercpu_time_millis_training: 19.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.6283, kappa: 0.2569, kb_relative_information_score: 94.0712, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6287, predictive_accuracy: 0.6285, prior_entropy: 1, recall: 0.6285, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9763, scimark_benchmark: 1290.7098, usercpu_time_millis: 159.767, usercpu_time_millis_testing: 10.274, usercpu_time_millis_training: 149.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6069, kappa: 0.2138, kb_relative_information_score: 44.6243, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6069, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9885, scimark_benchmark: 1281.351, usercpu_time_millis: 42.855, usercpu_time_millis_testing: 3.77, usercpu_time_millis_training: 39.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.613, kappa: 0.2262, kb_relative_information_score: 61.6246, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6132, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9845, scimark_benchmark: 1269.859, usercpu_time_millis: 154.852, usercpu_time_millis_testing: 10.225, usercpu_time_millis_training: 144.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.6175, kappa: 0.2354, kb_relative_information_score: 93.3259, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6179, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9763, scimark_benchmark: 1279.0699, usercpu_time_millis: 30.356, usercpu_time_millis_testing: 2.297, usercpu_time_millis_training: 28.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7042, kappa: 0.4108, kb_relative_information_score: 302.0478, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7087, predictive_accuracy: 0.7054, prior_entropy: 1, recall: 0.7054, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9233, scimark_benchmark: 1277.9579, usercpu_time_millis: 366.493, usercpu_time_millis_testing: 9.099, usercpu_time_millis_training: 357.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.6469, kappa: 0.2946, kb_relative_information_score: 164.3631, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6481, predictive_accuracy: 0.6473, prior_entropy: 1, recall: 0.6473, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9587, scimark_benchmark: 1296.3595, usercpu_time_millis: 198.089, usercpu_time_millis_testing: 8.722, usercpu_time_millis_training: 189.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.6227, kappa: 0.2454, kb_relative_information_score: 78.3058, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6227, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9801, scimark_benchmark: 1274.5496, usercpu_time_millis: 220.195, usercpu_time_millis_testing: 13.988, usercpu_time_millis_training: 206.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.679, kappa: 0.3592, kb_relative_information_score: 230.86, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6811, predictive_accuracy: 0.6796, prior_entropy: 1, recall: 0.6796, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9412, scimark_benchmark: 1296.5877, usercpu_time_millis: 198.174, usercpu_time_millis_testing: 6.592, usercpu_time_millis_training: 191.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7346, kappa: 0.4708, kb_relative_information_score: 383.2374, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7382, predictive_accuracy: 0.7354, prior_entropy: 1, recall: 0.7354, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9015, scimark_benchmark: 1281.7952, usercpu_time_millis: 106.393, usercpu_time_millis_testing: 3.575, usercpu_time_millis_training: 102.818,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.6177, kappa: 0.2354, kb_relative_information_score: 93.1459, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9763, scimark_benchmark: 1281.5039, usercpu_time_millis: 91.159, usercpu_time_millis_testing: 5.647, usercpu_time_millis_training: 85.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7321, kappa: 0.4662, kb_relative_information_score: 375.2688, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7367, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9035, scimark_benchmark: 1277.6629, usercpu_time_millis: 345.327, usercpu_time_millis_testing: 7.582, usercpu_time_millis_training: 337.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.6416, kappa: 0.2838, kb_relative_information_score: 113.7013, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6424, predictive_accuracy: 0.6419, prior_entropy: 1, recall: 0.6419, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9711, scimark_benchmark: 1302.7926, usercpu_time_millis: 146.705, usercpu_time_millis_testing: 8.203, usercpu_time_millis_training: 138.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.6397, kappa: 0.28, kb_relative_information_score: 140.2447, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6405, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9644, scimark_benchmark: 1297.2699, usercpu_time_millis: 142.199, usercpu_time_millis_testing: 7.183, usercpu_time_millis_training: 135.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.6014, kappa: 0.2031, kb_relative_information_score: 62.704, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6017, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9842, scimark_benchmark: 1290.512, usercpu_time_millis: 40.969, usercpu_time_millis_testing: 2.794, usercpu_time_millis_training: 38.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7332, kappa: 0.4685, kb_relative_information_score: 379.0397, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7381, predictive_accuracy: 0.7342, prior_entropy: 1, recall: 0.7342, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9019, scimark_benchmark: 1301.8172, usercpu_time_millis: 578.172, usercpu_time_millis_testing: 14.137, usercpu_time_millis_training: 564.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.6451, kappa: 0.2915, kb_relative_information_score: 176.1493, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6468, predictive_accuracy: 0.6458, prior_entropy: 1, recall: 0.6458, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9557, scimark_benchmark: 1271.2169, usercpu_time_millis: 257.461, usercpu_time_millis_testing: 10.183, usercpu_time_millis_training: 247.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.6096, kappa: 0.2192, kb_relative_information_score: 25.5203, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6096, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1292.4178, usercpu_time_millis: 31.688, usercpu_time_millis_testing: 3.383, usercpu_time_millis_training: 28.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 82.917, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9789, scimark_benchmark: 1299.9584, usercpu_time_millis: 84.545, usercpu_time_millis_testing: 5.894, usercpu_time_millis_training: 78.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.6186, kappa: 0.2377, kb_relative_information_score: 133.1411, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6191, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9685, scimark_benchmark: 1268.819, usercpu_time_millis: 20.882, usercpu_time_millis_testing: 1.315, usercpu_time_millis_training: 19.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.5976, kappa: 0.1954, kb_relative_information_score: 115.3523, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5978, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9761, scimark_benchmark: 1279.7075, usercpu_time_millis: 19.443, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 18.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.6695, kappa: 0.3392, kb_relative_information_score: 303.2402, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6698, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9302, scimark_benchmark: 1275.7743, usercpu_time_millis: 29.066, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 27.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.6853, kappa: 0.3731, kb_relative_information_score: 257.9188, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6894, predictive_accuracy: 0.6865, prior_entropy: 1, recall: 0.6865, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.935, scimark_benchmark: 1271.8721, usercpu_time_millis: 303.827, usercpu_time_millis_testing: 8.578, usercpu_time_millis_training: 295.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6225, kappa: 0.2454, kb_relative_information_score: 101.9798, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6229, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9748, scimark_benchmark: 1301.8964, usercpu_time_millis: 20.418, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 18.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.6752, kappa: 0.3523, kb_relative_information_score: 218.8424, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6783, predictive_accuracy: 0.6762, prior_entropy: 1, recall: 0.6762, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9446, scimark_benchmark: 1265.9424, usercpu_time_millis: 293.559, usercpu_time_millis_testing: 10.352, usercpu_time_millis_training: 283.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6131, kappa: 0.2262, kb_relative_information_score: 40.429, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6131, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9897, scimark_benchmark: 1302.6611, usercpu_time_millis: 128.8, usercpu_time_millis_testing: 9.613, usercpu_time_millis_training: 119.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.6236, kappa: 0.2477, kb_relative_information_score: 120.2467, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6241, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.97, scimark_benchmark: 1303.7232, usercpu_time_millis: 120.283, usercpu_time_millis_testing: 6.002, usercpu_time_millis_training: 114.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.6672, kappa: 0.3354, kb_relative_information_score: 184.0405, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6688, predictive_accuracy: 0.6677, prior_entropy: 1, recall: 0.6677, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.477, root_relative_squared_error: 0.954, scimark_benchmark: 1287.7154, usercpu_time_millis: 118.447, usercpu_time_millis_testing: 4.617, usercpu_time_millis_training: 113.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6607, kappa: 0.3223, kb_relative_information_score: 170.2062, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.662, predictive_accuracy: 0.6612, prior_entropy: 1, recall: 0.6612, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9567, scimark_benchmark: 1280.9327, usercpu_time_millis: 174.198, usercpu_time_millis_testing: 5.876, usercpu_time_millis_training: 168.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.6687, kappa: 0.3385, kb_relative_information_score: 197.3099, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6703, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9495, scimark_benchmark: 1284.519, usercpu_time_millis: 256.903, usercpu_time_millis_testing: 10.82, usercpu_time_millis_training: 246.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6138, kappa: 0.2277, kb_relative_information_score: 78.8935, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6139, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9801, scimark_benchmark: 1293.3945, usercpu_time_millis: 67.387, usercpu_time_millis_testing: 4.537, usercpu_time_millis_training: 62.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6234, kappa: 0.2469, kb_relative_information_score: 72.1797, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6235, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9819, scimark_benchmark: 1280.5875, usercpu_time_millis: 46.616, usercpu_time_millis_testing: 3.371, usercpu_time_millis_training: 43.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.6234, kappa: 0.2469, kb_relative_information_score: 130.8911, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6235, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.967, scimark_benchmark: 1289.2649, usercpu_time_millis: 44.218, usercpu_time_millis_testing: 2.606, usercpu_time_millis_training: 41.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6273, kappa: 0.2554, kb_relative_information_score: 129.2678, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6282, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 1296.8935, usercpu_time_millis: 56.238, usercpu_time_millis_testing: 3.069, usercpu_time_millis_training: 53.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7085, kappa: 0.4192, kb_relative_information_score: 306.7646, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7129, predictive_accuracy: 0.7096, prior_entropy: 1, recall: 0.7096, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9216, scimark_benchmark: 1292.6249, usercpu_time_millis: 197.487, usercpu_time_millis_testing: 6.316, usercpu_time_millis_training: 191.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.6088, kappa: 0.2177, kb_relative_information_score: 92.0439, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6089, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.977, scimark_benchmark: 1297.2769, usercpu_time_millis: 35.291, usercpu_time_millis_testing: 2.528, usercpu_time_millis_training: 32.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.6278, kappa: 0.2562, kb_relative_information_score: 114.1623, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6284, predictive_accuracy: 0.6281, prior_entropy: 1, recall: 0.6281, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.971, scimark_benchmark: 1279.6087, usercpu_time_millis: 143.581, usercpu_time_millis_testing: 7.413, usercpu_time_millis_training: 136.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6058, kappa: 0.2115, kb_relative_information_score: 57.8377, mean_absolute_error: 0.4919, 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: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9857, scimark_benchmark: 1298.9384, usercpu_time_millis: 34.757, usercpu_time_millis_testing: 2.554, usercpu_time_millis_training: 32.203,
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: 1280.8042, usercpu_time_millis: 31.87, usercpu_time_millis_testing: 3.22, usercpu_time_millis_training: 28.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6108, kappa: 0.2215, kb_relative_information_score: 93.8712, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9766, scimark_benchmark: 1291.9765, usercpu_time_millis: 19.777, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 18.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.6085, kappa: 0.2169, kb_relative_information_score: 41.025, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6085, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 1268.1854, usercpu_time_millis: 15.297, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 13.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.5996, kappa: 0.1992, kb_relative_information_score: 14.7595, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5997, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1288.2099, usercpu_time_millis: 14.301, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 12.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7255, kappa: 0.4531, kb_relative_information_score: 345.1469, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7299, predictive_accuracy: 0.7265, prior_entropy: 1, recall: 0.7265, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9115, scimark_benchmark: 1297.5394, usercpu_time_millis: 266.063, usercpu_time_millis_testing: 6.788, usercpu_time_millis_training: 259.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.6168, kappa: 0.2338, kb_relative_information_score: 68.2907, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.617, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9825, scimark_benchmark: 1302.2907, usercpu_time_millis: 148.951, usercpu_time_millis_testing: 9.639, usercpu_time_millis_training: 139.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.6549, kappa: 0.3115, kb_relative_information_score: 219.4728, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6574, predictive_accuracy: 0.6558, prior_entropy: 1, recall: 0.6558, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9452, scimark_benchmark: 1301.2003, usercpu_time_millis: 254.772, usercpu_time_millis_testing: 9.552, usercpu_time_millis_training: 245.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.6391, kappa: 0.2792, kb_relative_information_score: 138.5981, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6405, predictive_accuracy: 0.6396, prior_entropy: 1, recall: 0.6396, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9651, scimark_benchmark: 1282.768, usercpu_time_millis: 238.894, usercpu_time_millis_testing: 11.716, usercpu_time_millis_training: 227.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6138, kappa: 0.2277, kb_relative_information_score: 59.8331, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6138, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1269.8835, usercpu_time_millis: 125.385, usercpu_time_millis_testing: 10.454, usercpu_time_millis_training: 114.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6118, kappa: 0.2238, kb_relative_information_score: 61.6058, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6121, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9843, scimark_benchmark: 1298.4678, usercpu_time_millis: 112.769, usercpu_time_millis_testing: 7.749, usercpu_time_millis_training: 105.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7063, kappa: 0.4131, kb_relative_information_score: 344.3112, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7073, predictive_accuracy: 0.7065, prior_entropy: 1, recall: 0.7065, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9157, scimark_benchmark: 1300.4528, usercpu_time_millis: 41.281, usercpu_time_millis_testing: 1.862, usercpu_time_millis_training: 39.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.6073, kappa: 0.2146, kb_relative_information_score: 105.6751, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6074, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9739, scimark_benchmark: 1291.531, usercpu_time_millis: 85.771, usercpu_time_millis_testing: 4.704, usercpu_time_millis_training: 81.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6516, kappa: 0.3038, kb_relative_information_score: 151.2096, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6525, predictive_accuracy: 0.6519, prior_entropy: 1, recall: 0.6519, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9624, scimark_benchmark: 1292.4376, usercpu_time_millis: 19.537, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 18.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.6054, kappa: 0.2108, kb_relative_information_score: 162.0964, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6054, predictive_accuracy: 0.6054, prior_entropy: 1, recall: 0.6054, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9694, scimark_benchmark: 1264.7219, usercpu_time_millis: 17.693, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 16.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7458, kappa: 0.4931, kb_relative_information_score: 420.4745, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7495, predictive_accuracy: 0.7465, prior_entropy: 1, recall: 0.7465, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8909, scimark_benchmark: 1302.4548, usercpu_time_millis: 189.838, usercpu_time_millis_testing: 4.646, usercpu_time_millis_training: 185.192,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.6776, kappa: 0.3562, kb_relative_information_score: 208.5069, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6792, predictive_accuracy: 0.6781, prior_entropy: 1, recall: 0.6781, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466, scimark_benchmark: 1300.3968, usercpu_time_millis: 419.734, usercpu_time_millis_testing: 16.56, usercpu_time_millis_training: 403.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.6821, kappa: 0.3662, kb_relative_information_score: 249.229, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6853, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9363, scimark_benchmark: 1299.9382, usercpu_time_millis: 618.277, usercpu_time_millis_testing: 16.175, usercpu_time_millis_training: 602.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.6698, kappa: 0.3408, kb_relative_information_score: 228.8777, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6715, predictive_accuracy: 0.6704, prior_entropy: 1, recall: 0.6704, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9422, scimark_benchmark: 1291.6692, usercpu_time_millis: 229.262, usercpu_time_millis_testing: 8.564, usercpu_time_millis_training: 220.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6279, kappa: 0.2562, kb_relative_information_score: 175.4732, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6284, predictive_accuracy: 0.6281, prior_entropy: 1, recall: 0.6281, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9565, scimark_benchmark: 1282.3586, usercpu_time_millis: 100.204, usercpu_time_millis_testing: 4.242, usercpu_time_millis_training: 95.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6207, kappa: 0.2415, kb_relative_information_score: 103.1081, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6209, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9739, scimark_benchmark: 1276.7075, usercpu_time_millis: 97.509, usercpu_time_millis_testing: 5.791, usercpu_time_millis_training: 91.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.6813, kappa: 0.3646, kb_relative_information_score: 253.3576, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6846, predictive_accuracy: 0.6823, prior_entropy: 1, recall: 0.6823, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9359, scimark_benchmark: 1268.4733, usercpu_time_millis: 346.331, usercpu_time_millis_testing: 9.449, usercpu_time_millis_training: 336.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7214, kappa: 0.4454, kb_relative_information_score: 348.7757, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7268, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.455, root_relative_squared_error: 0.91, scimark_benchmark: 1259.911, usercpu_time_millis: 466.182, usercpu_time_millis_testing: 11.453, usercpu_time_millis_training: 454.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.6148, kappa: 0.23, kb_relative_information_score: 101.8168, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6153, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9746, scimark_benchmark: 1302.1718, usercpu_time_millis: 73.577, usercpu_time_millis_testing: 4.281, usercpu_time_millis_training: 69.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.6422, kappa: 0.2846, kb_relative_information_score: 145.4659, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6426, predictive_accuracy: 0.6423, prior_entropy: 1, recall: 0.6423, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9643, scimark_benchmark: 1289.4414, usercpu_time_millis: 60.174, usercpu_time_millis_testing: 3.053, usercpu_time_millis_training: 57.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.6119, kappa: 0.2238, kb_relative_information_score: 28.4348, mean_absolute_error: 0.4961, 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: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1295.368, usercpu_time_millis: 44.84, usercpu_time_millis_testing: 3.698, usercpu_time_millis_training: 41.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.6718, kappa: 0.3446, kb_relative_information_score: 201.7618, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6733, predictive_accuracy: 0.6723, prior_entropy: 1, recall: 0.6723, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.949, scimark_benchmark: 1279.2432, usercpu_time_millis: 135.919, usercpu_time_millis_testing: 4.949, usercpu_time_millis_training: 130.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.701, kappa: 0.4038, kb_relative_information_score: 265.704, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7045, predictive_accuracy: 0.7019, prior_entropy: 1, recall: 0.7019, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.466, root_relative_squared_error: 0.932, scimark_benchmark: 1287.2478, usercpu_time_millis: 305.656, usercpu_time_millis_testing: 8.227, usercpu_time_millis_training: 297.429,

Metric:

Timeline

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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

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Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

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