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Supervised Classification on credit-g

Supervised Classification on credit-g

Task 146803 Supervised Classification credit-g 3486 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7326, kappa: 0.337, kb_relative_information_score: 177.9413, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7417, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8879, scimark_benchmark: 1784.7722, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.71, kappa: 0.2803, kb_relative_information_score: 155.3711, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7449, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8931, scimark_benchmark: 1776.7714, usercpu_time_millis: 4.975, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 4.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7575, kappa: 0.4057, kb_relative_information_score: 217.9275, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7568, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8822, scimark_benchmark: 1727.72, usercpu_time_millis: 18.008, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 16.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7561, kappa: 0.4031, kb_relative_information_score: 221.1253, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7549, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8824, scimark_benchmark: 1806.1823, usercpu_time_millis: 15.001, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 14.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.733, kappa: 0.3372, kb_relative_information_score: 167.5463, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7467, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8845, scimark_benchmark: 1807.3669, usercpu_time_millis: 4.655, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 4.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7517, kappa: 0.3869, kb_relative_information_score: 202.7193, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1727.2184, usercpu_time_millis: 1.989, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.7488, kappa: 0.3888, kb_relative_information_score: 231.5913, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.9028, scimark_benchmark: 1738.3947, usercpu_time_millis: 4.999, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 4.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7495, kappa: 0.3828, kb_relative_information_score: 212.6843, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8775, scimark_benchmark: 1746.6883, usercpu_time_millis: 2.745, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 2.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.758, kappa: 0.4086, kb_relative_information_score: 224.5375, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7564, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829, scimark_benchmark: 1708.7617, usercpu_time_millis: 4.028, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 3.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.5765, kb_relative_information_score: 75.7626, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9401, scimark_benchmark: 1742.1574, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7159, kappa: 0.2942, kb_relative_information_score: 160.4123, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7354, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.893, scimark_benchmark: 1737.14, usercpu_time_millis: 3.26, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 2.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.5765, kb_relative_information_score: 79.9195, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9324, scimark_benchmark: 1747.5976, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7395, kappa: 0.3539, kb_relative_information_score: 187.1545, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8759, scimark_benchmark: 1471.3377, usercpu_time_millis: 10.012, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 8.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7404, kappa: 0.3576, kb_relative_information_score: 180.1421, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7462, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8844, scimark_benchmark: 1429.6154, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7276, kappa: 0.3233, kb_relative_information_score: 172.9933, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7477, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8871, scimark_benchmark: 1414.878, usercpu_time_millis: 1.691, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7508, kappa: 0.383, kb_relative_information_score: 183.3418, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7588, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8806, scimark_benchmark: 1419.7967, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7579, kappa: 0.4043, kb_relative_information_score: 216.9653, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7594, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1377.4915, usercpu_time_millis: 15.198, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 13.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.1542, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1387.1886, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7635, kappa: 0.4175, kb_relative_information_score: 211.4232, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7663, predictive_accuracy: 0.777, prior_entropy: 0.8818, recall: 0.777, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1382.6753, usercpu_time_millis: 6.177, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 5.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3842, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1376.4952, usercpu_time_millis: 0.978, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7152, kappa: 0.3039, kb_relative_information_score: 194.924, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7113, predictive_accuracy: 0.726, prior_entropy: 0.8818, recall: 0.726, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9206, scimark_benchmark: 1374.0797, usercpu_time_millis: 0.439, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7406, kappa: 0.3613, kb_relative_information_score: 192.3442, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7408, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8851, scimark_benchmark: 1372.9818, usercpu_time_millis: 1.234, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7272, kappa: 0.3227, kb_relative_information_score: 176.4056, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.74, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8841, scimark_benchmark: 1376.1146, usercpu_time_millis: 2.437, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 2.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.5925, kappa: 0.0324, kb_relative_information_score: 90.8863, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7935, predictive_accuracy: 0.707, prior_entropy: 0.8818, recall: 0.707, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.9264, scimark_benchmark: 1373.5213, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7487, kappa: 0.3803, kb_relative_information_score: 200.8179, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8771, scimark_benchmark: 1375.5915, usercpu_time_millis: 3.174, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7501, kappa: 0.3866, kb_relative_information_score: 218.8609, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8873, scimark_benchmark: 1371.4133, usercpu_time_millis: 11.834, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 10.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7272, kappa: 0.3231, kb_relative_information_score: 171.1042, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7367, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8887, scimark_benchmark: 1378.8412, usercpu_time_millis: 3.31, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 2.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7483, kappa: 0.3777, kb_relative_information_score: 204.5522, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7535, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1373.748, usercpu_time_millis: 1.699, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7461, kappa: 0.3723, kb_relative_information_score: 193.051, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8784, scimark_benchmark: 1377.0208, usercpu_time_millis: 8.897, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 8.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7474, kappa: 0.3763, kb_relative_information_score: 206.438, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8731, scimark_benchmark: 1374.5197, usercpu_time_millis: 2.91, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 2.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3046, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1376.5641, usercpu_time_millis: 1.67, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.6421, kappa: 0.1328, kb_relative_information_score: 118.8857, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7647, predictive_accuracy: 0.727, prior_entropy: 0.8818, recall: 0.727, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.418, root_relative_squared_error: 0.9121, scimark_benchmark: 1376.018, usercpu_time_millis: 7.774, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 6.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7149, kappa: 0.2917, kb_relative_information_score: 152.8299, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7319, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8995, scimark_benchmark: 1372.8281, usercpu_time_millis: 5.331, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 4.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7508, kappa: 0.3855, kb_relative_information_score: 201.1959, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8771, scimark_benchmark: 1375.5771, usercpu_time_millis: 1.022, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.6989, kappa: 0.252, kb_relative_information_score: 144.0505, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7186, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.9028, scimark_benchmark: 1375.023, usercpu_time_millis: 3.483, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 3.165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7417, kappa: 0.361, kb_relative_information_score: 181.5655, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8891, scimark_benchmark: 1379.2717, usercpu_time_millis: 6.989, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 6.567,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7596, kappa: 0.413, kb_relative_information_score: 226.5465, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7578, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.888, scimark_benchmark: 1372.5779, usercpu_time_millis: 16.772, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 15.984,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7413, kappa: 0.3578, kb_relative_information_score: 174.5557, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7579, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.882, scimark_benchmark: 1373.4287, usercpu_time_millis: 4.655, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 3.969,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7417, kappa: 0.361, kb_relative_information_score: 191.6931, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8778, scimark_benchmark: 1374.5395, usercpu_time_millis: 4.476, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 4.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7131, kappa: 0.2873, kb_relative_information_score: 163.5161, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.727, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8891, scimark_benchmark: 1380.281, usercpu_time_millis: 4.878, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 4.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.755, kappa: 0.3966, kb_relative_information_score: 199.6633, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.757, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8744, scimark_benchmark: 1379.5786, usercpu_time_millis: 9.645, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 8.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7545, kappa: 0.3987, kb_relative_information_score: 219.2901, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7535, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8823, scimark_benchmark: 1379.8402, usercpu_time_millis: 17.306, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 16.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.646, kappa: 0.1413, kb_relative_information_score: 118.4454, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7678, predictive_accuracy: 0.729, prior_entropy: 0.8818, recall: 0.729, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9123, scimark_benchmark: 1375.1768, usercpu_time_millis: 4.619, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 4.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.744, kappa: 0.367, kb_relative_information_score: 193.3565, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8849, scimark_benchmark: 1376.3055, usercpu_time_millis: 0.815, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.494, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1380.5961, usercpu_time_millis: 1.189, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7326, kappa: 0.3356, kb_relative_information_score: 169.1831, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.758, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8834, scimark_benchmark: 1371.0604, usercpu_time_millis: 8.667, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 7.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.732, kappa: 0.3359, kb_relative_information_score: 182.6215, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7389, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8881, scimark_benchmark: 1373.8003, usercpu_time_millis: 9.874, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 9.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.6598, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1373.3569, usercpu_time_millis: 0.551, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.6691, kappa: 0.1893, kb_relative_information_score: 130.4856, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7539, predictive_accuracy: 0.737, prior_entropy: 0.8818, recall: 0.737, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.9027, scimark_benchmark: 1375.4983, usercpu_time_millis: 4.488, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 3.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.613, kappa: 0.0698, kb_relative_information_score: 104.2476, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7227, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9202, scimark_benchmark: 1376.9102, usercpu_time_millis: 0.919, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7508, kappa: 0.3843, kb_relative_information_score: 204.1464, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7558, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8729, scimark_benchmark: 1379.5631, usercpu_time_millis: 1.565, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7488, kappa: 0.384, kb_relative_information_score: 215.9694, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7477, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8965, scimark_benchmark: 1372.5355, usercpu_time_millis: 4.036, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 3.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.725, kappa: 0.3177, kb_relative_information_score: 169.3548, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.734, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8917, scimark_benchmark: 1383.6023, usercpu_time_millis: 3.965, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 3.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7603, kappa: 0.4133, kb_relative_information_score: 214.9737, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7593, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762, scimark_benchmark: 1385.369, usercpu_time_millis: 18.282, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 17.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7035, kappa: 0.2634, kb_relative_information_score: 144.195, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7249, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.414, root_relative_squared_error: 0.9035, scimark_benchmark: 1373.8754, usercpu_time_millis: 5.602, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 5.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.6407, kappa: 0.1286, kb_relative_information_score: 118.2145, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.725, prior_entropy: 0.8818, recall: 0.725, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.9119, scimark_benchmark: 1372.8464, usercpu_time_millis: 2.836, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 2.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7416, kappa: 0.3586, kb_relative_information_score: 176.1919, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7557, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8798, scimark_benchmark: 1381.943, usercpu_time_millis: 5.221, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 4.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7536, kappa: 0.3944, kb_relative_information_score: 218.7776, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7539, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8788, scimark_benchmark: 1372.5056, usercpu_time_millis: 13.67, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 12.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.441, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1385.5152, usercpu_time_millis: 1.757, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7372, kappa: 0.3632, kb_relative_information_score: 225.9045, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7341, predictive_accuracy: 0.743, prior_entropy: 0.8818, recall: 0.743, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9118, scimark_benchmark: 1387.5679, usercpu_time_millis: 4.27, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 4.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7472, kappa: 0.3795, kb_relative_information_score: 222.2558, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7463, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8854, scimark_benchmark: 1374.4099, usercpu_time_millis: 18.914, usercpu_time_millis_testing: 1.245, usercpu_time_millis_training: 17.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7291, kappa: 0.3294, kb_relative_information_score: 188.6772, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7338, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8834, scimark_benchmark: 1383.3998, usercpu_time_millis: 0.941, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7601, kappa: 0.409, kb_relative_information_score: 205.7942, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7628, predictive_accuracy: 0.774, prior_entropy: 0.8818, recall: 0.774, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.877, scimark_benchmark: 1367.9156, usercpu_time_millis: 15.256, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 14.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.662, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1384.0472, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7344, kappa: 0.3404, kb_relative_information_score: 172.4811, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7519, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8823, scimark_benchmark: 1379.431, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7351, kappa: 0.3441, kb_relative_information_score: 180.969, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7413, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8901, scimark_benchmark: 1372.979, usercpu_time_millis: 7.116, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 6.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.1434, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1370.4994, usercpu_time_millis: 1.974, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7433, kappa: 0.3762, kb_relative_information_score: 226.9811, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7403, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.9023, scimark_benchmark: 1379.9394, usercpu_time_millis: 25.019, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 23.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7487, kappa: 0.3803, kb_relative_information_score: 202.463, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8787, scimark_benchmark: 1371.3116, usercpu_time_millis: 11.178, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 10.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7565, kappa: 0.4016, kb_relative_information_score: 219.2864, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7572, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8784, scimark_benchmark: 1379.1614, usercpu_time_millis: 5.915, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 5.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7427, kappa: 0.3637, kb_relative_information_score: 184.1683, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8798, scimark_benchmark: 1378.9551, usercpu_time_millis: 5.39, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 4.939,

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

OpenML bootcamp

From your own software

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

OpenML APIs