Task
Supervised Classification on fri_c4_500_10

Supervised Classification on fri_c4_500_10

Task 3720 Supervised Classification fri_c4_500_10 553 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.772, kappa: 0.5378, kb_relative_information_score: 237.1011, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 0.9922, recall: 0.774, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.641, kappa: 0.2812, kb_relative_information_score: 85.1267, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6465, predictive_accuracy: 0.64, prior_entropy: 0.9922, recall: 0.64, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6589, kappa: 0.318, kb_relative_information_score: 89.2505, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6655, predictive_accuracy: 0.658, prior_entropy: 0.9922, recall: 0.658, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.6589, kappa: 0.318, kb_relative_information_score: 86.4273, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6655, predictive_accuracy: 0.658, prior_entropy: 0.9922, recall: 0.658, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8614, kappa: 0.7192, kb_relative_information_score: 296.2485, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8625, predictive_accuracy: 0.862, prior_entropy: 0.9922, recall: 0.862, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7743, kappa: 0.5444, kb_relative_information_score: 231.686, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7749, predictive_accuracy: 0.774, prior_entropy: 0.9922, recall: 0.774, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8719, kappa: 0.741, kb_relative_information_score: 372.7905, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9922, recall: 0.872, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.6509, kappa: 0.3003, kb_relative_information_score: 85.9461, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6557, predictive_accuracy: 0.65, prior_entropy: 0.9922, recall: 0.65, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8941, kappa: 0.7861, kb_relative_information_score: 326.2101, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8944, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7594, kappa: 0.5127, kb_relative_information_score: 250.6486, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7594, predictive_accuracy: 0.76, prior_entropy: 0.9922, recall: 0.76, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6595, kappa: 0.3108, kb_relative_information_score: 82.6627, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6592, predictive_accuracy: 0.66, prior_entropy: 0.9922, recall: 0.66, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8003, kappa: 0.597, kb_relative_information_score: 214.1455, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9922, recall: 0.8, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.3905, kappa: -0.1546, kb_relative_information_score: -0.4555, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3789, predictive_accuracy: 0.464, prior_entropy: 0.9922, recall: 0.464, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6653, kappa: 0.3221, kb_relative_information_score: 158.165, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6649, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8617, kappa: 0.7199, kb_relative_information_score: 307.5706, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9922, recall: 0.862, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8092, kappa: 0.6134, kb_relative_information_score: 193.3891, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9922, recall: 0.81, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.3927, kb_relative_information_score: -0.051, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3047, predictive_accuracy: 0.552, prior_entropy: 0.9922, recall: 0.552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4973, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7743, kappa: 0.5444, kb_relative_information_score: 209.7192, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7749, predictive_accuracy: 0.774, prior_entropy: 0.9922, recall: 0.774, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.806, kappa: 0.6079, kb_relative_information_score: 266.3052, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8061, predictive_accuracy: 0.806, prior_entropy: 0.9922, recall: 0.806, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.882, kappa: 0.7613, kb_relative_information_score: 340.7936, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9922, recall: 0.882, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8218, kappa: 0.6393, kb_relative_information_score: 315.558, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8218, predictive_accuracy: 0.822, prior_entropy: 0.9922, recall: 0.822, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6568, kappa: 0.3143, kb_relative_information_score: 86.9383, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6638, predictive_accuracy: 0.656, prior_entropy: 0.9922, recall: 0.656, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.6637, kappa: 0.3195, kb_relative_information_score: 91.9848, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6635, predictive_accuracy: 0.664, prior_entropy: 0.9922, recall: 0.664, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.848, kappa: 0.6927, kb_relative_information_score: 296.195, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9922, recall: 0.848, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6568, kappa: 0.3143, kb_relative_information_score: 86.9383, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6638, predictive_accuracy: 0.656, prior_entropy: 0.9922, recall: 0.656, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6618, kappa: 0.3157, kb_relative_information_score: 156.6765, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6616, predictive_accuracy: 0.662, prior_entropy: 0.9922, recall: 0.662, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5814, root_relative_squared_error: 1.1691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8959, kappa: 0.7894, kb_relative_information_score: 299.5702, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9922, recall: 0.896, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3927, kb_relative_information_score: 44.9542, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3047, predictive_accuracy: 0.552, prior_entropy: 0.9922, recall: 0.552, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8218, kappa: 0.6393, kb_relative_information_score: 315.558, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8218, predictive_accuracy: 0.822, prior_entropy: 0.9922, recall: 0.822, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6595, kappa: 0.3108, kb_relative_information_score: 154.6452, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6592, predictive_accuracy: 0.66, prior_entropy: 0.9922, recall: 0.66, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6489, kappa: 0.2954, kb_relative_information_score: 88.4, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6529, predictive_accuracy: 0.648, prior_entropy: 0.9922, recall: 0.648, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6568, kappa: 0.3143, kb_relative_information_score: 86.9383, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6638, predictive_accuracy: 0.656, prior_entropy: 0.9922, recall: 0.656, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7844, kappa: 0.5655, kb_relative_information_score: 195.4194, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7857, predictive_accuracy: 0.784, prior_entropy: 0.9922, recall: 0.784, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8782, kappa: 0.7543, kb_relative_information_score: 282.9479, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.879, predictive_accuracy: 0.878, prior_entropy: 0.9922, recall: 0.878, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.8201, kappa: 0.6364, kb_relative_information_score: 317.1504, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9922, recall: 0.82, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7533, kappa: 0.4999, kb_relative_information_score: 252.1483, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.757, predictive_accuracy: 0.756, prior_entropy: 0.9922, recall: 0.756, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9933, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6597, kappa: 0.3114, kb_relative_information_score: 154.6452, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6595, predictive_accuracy: 0.66, prior_entropy: 0.9922, recall: 0.66, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1725, scimark_benchmark: 1461.2356, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7846, kappa: 0.5684, kb_relative_information_score: 280.5867, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7901, predictive_accuracy: 0.784, prior_entropy: 0.9922, recall: 0.784, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9346, scimark_benchmark: 1959.6455, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4676, f_measure: 0.4736, kappa: -0.0648, kb_relative_information_score: -34.267, mean_absolute_error: 0.526, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.4733, predictive_accuracy: 0.474, prior_entropy: 0.9922, recall: 0.474, relative_absolute_error: 1.0635, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.7253, root_relative_squared_error: 1.4584, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6407, kappa: 0.2758, kb_relative_information_score: 66.9862, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6421, predictive_accuracy: 0.64, prior_entropy: 0.9922, recall: 0.64, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9781, scimark_benchmark: 1356.3828, usercpu_time_millis: 1890, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4676, f_measure: 0.4736, kappa: -0.0648, kb_relative_information_score: -34.267, mean_absolute_error: 0.526, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.4733, predictive_accuracy: 0.474, prior_entropy: 0.9922, recall: 0.474, relative_absolute_error: 1.0635, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.7253, root_relative_squared_error: 1.4584, scimark_benchmark: 1372.5648, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7846, kappa: 0.5684, kb_relative_information_score: 280.5867, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7901, predictive_accuracy: 0.784, prior_entropy: 0.9922, recall: 0.784, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9346, scimark_benchmark: 1391.5815, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7533, kappa: 0.4999, kb_relative_information_score: 252.1483, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.757, predictive_accuracy: 0.756, prior_entropy: 0.9922, recall: 0.756, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9933, scimark_benchmark: 1374.4989, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6597, kappa: 0.3114, kb_relative_information_score: 154.6452, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6595, predictive_accuracy: 0.66, prior_entropy: 0.9922, recall: 0.66, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1725, scimark_benchmark: 1567.3167, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6595, kappa: 0.3108, kb_relative_information_score: 154.6452, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6592, predictive_accuracy: 0.66, prior_entropy: 0.9922, recall: 0.66, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1725, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6618, kappa: 0.3157, kb_relative_information_score: 156.6765, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6616, predictive_accuracy: 0.662, prior_entropy: 0.9922, recall: 0.662, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5814, root_relative_squared_error: 1.1691, scimark_benchmark: 1490.9128, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.667, kappa: 0.3253, kb_relative_information_score: 87.6711, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6667, predictive_accuracy: 0.668, prior_entropy: 0.9922, recall: 0.668, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9292, scimark_benchmark: 1097.3778, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.772, kappa: 0.5378, kb_relative_information_score: 237.1011, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 0.9922, recall: 0.774, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8798, scimark_benchmark: 1048.7981, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8902, kappa: 0.7786, kb_relative_information_score: 331.5303, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8913, predictive_accuracy: 0.89, prior_entropy: 0.9922, recall: 0.89, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5754, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8563, kappa: 0.7137, kb_relative_information_score: 348.1087, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8675, predictive_accuracy: 0.856, prior_entropy: 0.9922, recall: 0.856, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6589, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.759, kappa: 0.5282, kb_relative_information_score: 250.7605, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7868, predictive_accuracy: 0.76, prior_entropy: 0.9922, recall: 0.76, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8371, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7905, kappa: 0.5812, kb_relative_information_score: 181.8037, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7979, predictive_accuracy: 0.79, prior_entropy: 0.9922, recall: 0.79, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7947, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.882, kappa: 0.7613, kb_relative_information_score: 340.7936, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9922, recall: 0.882, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6019, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7743, kappa: 0.5444, kb_relative_information_score: 209.7192, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7749, predictive_accuracy: 0.774, prior_entropy: 0.9922, recall: 0.774, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7879, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.423, kappa: 0.0013, kb_relative_information_score: 40.8916, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.5085, predictive_accuracy: 0.548, prior_entropy: 0.9922, recall: 0.548, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4463, f_measure: 0.4532, kappa: -0.1083, kb_relative_information_score: -52.5488, mean_absolute_error: 0.544, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.4516, predictive_accuracy: 0.456, prior_entropy: 0.9922, recall: 0.456, relative_absolute_error: 1.0998, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6583, kappa: 0.31, kb_relative_information_score: 152.6139, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6588, predictive_accuracy: 0.658, prior_entropy: 0.9922, recall: 0.658, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.176, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.645, kappa: 0.2886, kb_relative_information_score: 138.3947, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.65, predictive_accuracy: 0.644, prior_entropy: 0.9922, recall: 0.644, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1998, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8236, kappa: 0.6426, kb_relative_information_score: 272.3955, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9922, recall: 0.824, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7722, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.8276, kappa: 0.6508, kb_relative_information_score: 277.9641, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9922, recall: 0.828, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.768, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.6579, kappa: 0.3082, kb_relative_information_score: 81.4444, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6579, predictive_accuracy: 0.658, prior_entropy: 0.9922, recall: 0.658, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9442, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6589, kappa: 0.318, kb_relative_information_score: 89.2505, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6655, predictive_accuracy: 0.658, prior_entropy: 0.9922, recall: 0.658, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9773, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.894, kappa: 0.7856, kb_relative_information_score: 392.309, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6547,

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