Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7467, kappa: 0.4962, kb_relative_information_score: 539.2563, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7538, predictive_accuracy: 0.7481, prior_entropy: 1, recall: 0.7481, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8658, scimark_benchmark: 1708.9651, usercpu_time_millis: 215.83, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 213.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.6615, kappa: 0.3392, kb_relative_information_score: 354.9609, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6876, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9272, scimark_benchmark: 1768.1997, usercpu_time_millis: 130.687, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 129.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6471, kappa: 0.2954, kb_relative_information_score: 167.4642, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6487, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9576, scimark_benchmark: 1754.0621, usercpu_time_millis: 55.3, usercpu_time_millis_testing: 2.087, usercpu_time_millis_training: 53.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 1085.22, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8372, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7286, scimark_benchmark: 1771.6432, usercpu_time_millis: 1843.468, usercpu_time_millis_testing: 2.038, usercpu_time_millis_training: 1841.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 1004.1847, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8349, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.372, root_relative_squared_error: 0.744, scimark_benchmark: 1728.018, usercpu_time_millis: 1175.524, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 1173.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.7782, kappa: 0.5577, kb_relative_information_score: 695.8436, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7823, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8267, scimark_benchmark: 1738.5442, usercpu_time_millis: 710.477, usercpu_time_millis_testing: 2.566, usercpu_time_millis_training: 707.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 901.414, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8106, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7812, scimark_benchmark: 1769.3843, usercpu_time_millis: 893.384, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 892.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8423, kappa: 0.6846, kb_relative_information_score: 1202.2154, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8425, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1752.371, usercpu_time_millis: 835.687, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 834.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 1073.9377, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8313, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7339, scimark_benchmark: 1727.5806, usercpu_time_millis: 610.397, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 609.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 1270.4406, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8628, predictive_accuracy: 0.8627, prior_entropy: 1, recall: 0.8627, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6751, scimark_benchmark: 1797.2973, usercpu_time_millis: 474.697, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 473.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.725, kappa: 0.4508, kb_relative_information_score: 661.498, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7267, predictive_accuracy: 0.7254, prior_entropy: 1, recall: 0.7254, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8502, scimark_benchmark: 1819.7574, usercpu_time_millis: 409.468, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 408.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7868, kappa: 0.5746, kb_relative_information_score: 709.9163, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7898, predictive_accuracy: 0.7873, prior_entropy: 1, recall: 0.7873, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8212, scimark_benchmark: 1768.2166, usercpu_time_millis: 402.43, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 400.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6665, kappa: 0.3362, kb_relative_information_score: 293.9299, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6713, predictive_accuracy: 0.6681, prior_entropy: 1, recall: 0.6681, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, scimark_benchmark: 1716.0986, usercpu_time_millis: 170.882, usercpu_time_millis_testing: 2.159, usercpu_time_millis_training: 168.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7489, kappa: 0.5008, kb_relative_information_score: 551.6551, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7564, predictive_accuracy: 0.7504, prior_entropy: 1, recall: 0.7504, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8627, scimark_benchmark: 1757.0217, usercpu_time_millis: 296.473, usercpu_time_millis_testing: 1.969, usercpu_time_millis_training: 294.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6744, kappa: 0.3531, kb_relative_information_score: 336.0186, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6814, predictive_accuracy: 0.6765, prior_entropy: 1, recall: 0.6765, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9245, scimark_benchmark: 1707.5401, usercpu_time_millis: 82.812, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 81.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8161, kappa: 0.6323, kb_relative_information_score: 819.3506, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8168, predictive_accuracy: 0.8162, prior_entropy: 1, recall: 0.8162, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7924, scimark_benchmark: 1771.461, usercpu_time_millis: 261, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 259.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6127, kappa: 0.2254, kb_relative_information_score: 218.5029, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6127, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9531, scimark_benchmark: 1759.2691, usercpu_time_millis: 59.7, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 58.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 989.0084, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8347, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7486, scimark_benchmark: 1754.4151, usercpu_time_millis: 236.732, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 236.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7859, kappa: 0.5723, kb_relative_information_score: 711.8597, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7873, predictive_accuracy: 0.7862, prior_entropy: 1, recall: 0.7862, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8235, scimark_benchmark: 1776.379, usercpu_time_millis: 24.272, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 23.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6159, kappa: 0.2323, kb_relative_information_score: 179.6899, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6164, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9662, scimark_benchmark: 1727.9628, usercpu_time_millis: 31.311, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 30.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 188.7594, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9702, scimark_benchmark: 1727.133, usercpu_time_millis: 22.085, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 21.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.6382, kappa: 0.2785, kb_relative_information_score: 243.1126, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6408, predictive_accuracy: 0.6392, prior_entropy: 1, recall: 0.6392, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9419, scimark_benchmark: 1757.3809, usercpu_time_millis: 20.626, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 19.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6086, kappa: 0.2177, kb_relative_information_score: 138.2061, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6092, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9701, scimark_benchmark: 1772.0571, usercpu_time_millis: 13.541, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 13.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6368, kappa: 0.2738, kb_relative_information_score: 170.7373, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6371, predictive_accuracy: 0.6369, prior_entropy: 1, recall: 0.6369, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 1833.7393, usercpu_time_millis: 5.351, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 5.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7267, kappa: 0.4546, kb_relative_information_score: 625.3037, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7295, predictive_accuracy: 0.7273, prior_entropy: 1, recall: 0.7273, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8599, scimark_benchmark: 1817.9496, usercpu_time_millis: 176.068, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 175.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.6749, kappa: 0.3562, kb_relative_information_score: 526.6529, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6854, predictive_accuracy: 0.6781, prior_entropy: 1, recall: 0.6781, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8934, scimark_benchmark: 1812.3928, usercpu_time_millis: 58.584, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 58.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7539, kappa: 0.51, kb_relative_information_score: 582.1956, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7598, predictive_accuracy: 0.755, prior_entropy: 1, recall: 0.755, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.855, scimark_benchmark: 1837.6604, usercpu_time_millis: 20.36, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 19.98,
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: 1831.8082, usercpu_time_millis: 3.523, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 2.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1775.1911, usercpu_time_millis: 4.296, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 3.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.5933, kappa: 0.1869, kb_relative_information_score: 12.1053, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5936, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1771.3234, usercpu_time_millis: 3.976, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6583, kappa: 0.3192, kb_relative_information_score: 289.887, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6621, predictive_accuracy: 0.6596, prior_entropy: 1, recall: 0.6596, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9353, scimark_benchmark: 1832.8279, usercpu_time_millis: 2.437, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 2.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8249, kappa: 0.65, kb_relative_information_score: 919.1848, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8255, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7687, scimark_benchmark: 1827.4072, usercpu_time_millis: 778.871, usercpu_time_millis_testing: 1.528, usercpu_time_millis_training: 777.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 1030.4263, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8315, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7418, scimark_benchmark: 1771.0216, usercpu_time_millis: 446.284, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 445.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 1174.2177, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8495, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7057, scimark_benchmark: 1797.2389, usercpu_time_millis: 382.885, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 382.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 1058.9368, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8372, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7358, scimark_benchmark: 1724.8753, usercpu_time_millis: 329.334, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 328.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.7895, kappa: 0.58, kb_relative_information_score: 711.0829, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.793, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8197, scimark_benchmark: 1835.6541, usercpu_time_millis: 268.385, usercpu_time_millis_testing: 1.568, usercpu_time_millis_training: 266.817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.6813, kappa: 0.3662, kb_relative_information_score: 304.4611, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6872, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9267, scimark_benchmark: 1854.4431, usercpu_time_millis: 4.235, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 3.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1892.8108, usercpu_time_millis: 4.264, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 3.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 925.2654, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7836, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7885, scimark_benchmark: 1786.8149, usercpu_time_millis: 1136.929, usercpu_time_millis_testing: 1.742, usercpu_time_millis_training: 1135.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8481, kappa: 0.6962, kb_relative_information_score: 1382.6218, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8481, predictive_accuracy: 0.8481, prior_entropy: 1, recall: 0.8481, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6708, scimark_benchmark: 1722.1719, usercpu_time_millis: 1931.158, usercpu_time_millis_testing: 2.557, usercpu_time_millis_training: 1928.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8473, kappa: 0.6946, kb_relative_information_score: 1308.9886, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 1, recall: 0.8473, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6871, scimark_benchmark: 1791.551, usercpu_time_millis: 665.916, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 664.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8098, kappa: 0.62, kb_relative_information_score: 811.7955, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8111, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.797, scimark_benchmark: 1716.8244, usercpu_time_millis: 661.704, usercpu_time_millis_testing: 1.617, usercpu_time_millis_training: 660.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.751, kappa: 0.5054, kb_relative_information_score: 542.0328, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7598, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8632, scimark_benchmark: 1725.8551, usercpu_time_millis: 250.935, usercpu_time_millis_testing: 2.004, usercpu_time_millis_training: 248.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7147, kappa: 0.4354, kb_relative_information_score: 523.5139, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7272, predictive_accuracy: 0.7177, prior_entropy: 1, recall: 0.7177, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8828, scimark_benchmark: 1735.7137, usercpu_time_millis: 225.249, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 224.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.7763, kappa: 0.5538, kb_relative_information_score: 680.3327, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7801, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8282, scimark_benchmark: 1793.161, usercpu_time_millis: 201.806, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 200.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8573, kappa: 0.7146, kb_relative_information_score: 1115.7803, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8575, predictive_accuracy: 0.8573, prior_entropy: 1, recall: 0.8573, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7092, scimark_benchmark: 1768.9279, usercpu_time_millis: 707.596, usercpu_time_millis_testing: 2.365, usercpu_time_millis_training: 705.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7036, kappa: 0.41, kb_relative_information_score: 367.4614, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7089, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9111, scimark_benchmark: 1792.3403, usercpu_time_millis: 121.283, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 119.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8265, kappa: 0.6531, kb_relative_information_score: 1000.662, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8271, predictive_accuracy: 0.8265, prior_entropy: 1, recall: 0.8265, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7514, scimark_benchmark: 1734.5766, usercpu_time_millis: 91.166, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 90.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8423, kappa: 0.6846, kb_relative_information_score: 1012.3, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8426, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7382, scimark_benchmark: 1736.4936, usercpu_time_millis: 658.286, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 656.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.828, kappa: 0.6562, kb_relative_information_score: 999.3059, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8287, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7516, scimark_benchmark: 1735.7137, usercpu_time_millis: 44.695, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 44.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 1082.5126, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8492, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7226, scimark_benchmark: 1609.5941, usercpu_time_millis: 879.712, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 877.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 919.7969, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8393, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7589, scimark_benchmark: 1733.7613, usercpu_time_millis: 336.503, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 334.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 908.6525, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.835, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7635, scimark_benchmark: 1716.4921, usercpu_time_millis: 702.413, usercpu_time_millis_testing: 2.336, usercpu_time_millis_training: 700.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7155, kappa: 0.4331, kb_relative_information_score: 315.3426, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7197, predictive_accuracy: 0.7165, prior_entropy: 1, recall: 0.7165, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9187, scimark_benchmark: 1713.8909, usercpu_time_millis: 164.067, usercpu_time_millis_testing: 3.669, usercpu_time_millis_training: 160.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.75, kappa: 0.5015, kb_relative_information_score: 461.679, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7538, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8801, scimark_benchmark: 1699.8565, usercpu_time_millis: 162.387, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 159.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.6915, kappa: 0.3892, kb_relative_information_score: 398.0094, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7029, predictive_accuracy: 0.6946, prior_entropy: 1, recall: 0.6946, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9098, scimark_benchmark: 1714.9048, usercpu_time_millis: 87.43, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 86.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6396, kappa: 0.28, kb_relative_information_score: 141.9558, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6406, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9642, scimark_benchmark: 1735.4272, usercpu_time_millis: 74.471, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 71.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7318, kappa: 0.4662, kb_relative_information_score: 562.7114, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7377, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8662, scimark_benchmark: 1706.5108, usercpu_time_millis: 47.22, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 46.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.6589, kappa: 0.3192, kb_relative_information_score: 324.6841, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6609, predictive_accuracy: 0.6596, prior_entropy: 1, recall: 0.6596, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9295, scimark_benchmark: 1705.5941, usercpu_time_millis: 38.372, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 38.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6298, kappa: 0.26, kb_relative_information_score: 105.2875, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6302, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9732, scimark_benchmark: 1745.2402, usercpu_time_millis: 30.545, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 28.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6856, kappa: 0.3723, kb_relative_information_score: 214.202, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6874, predictive_accuracy: 0.6862, prior_entropy: 1, recall: 0.6862, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9452, scimark_benchmark: 1729.6169, usercpu_time_millis: 26.519, usercpu_time_millis_testing: 1.368, usercpu_time_millis_training: 25.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6532, kappa: 0.3077, kb_relative_information_score: 192.7261, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.655, predictive_accuracy: 0.6538, prior_entropy: 1, recall: 0.6538, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9513, scimark_benchmark: 1747.4143, usercpu_time_millis: 29.867, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 28.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 139.7658, mean_absolute_error: 0.4797, 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: 0.9594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9662, scimark_benchmark: 1732.7411, usercpu_time_millis: 4.717, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 4.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7621, kappa: 0.5246, kb_relative_information_score: 712.684, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7633, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8308, scimark_benchmark: 1726.2558, usercpu_time_millis: 394.47, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 393.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8327, kappa: 0.6654, kb_relative_information_score: 1056.9475, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8329, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.368, root_relative_squared_error: 0.736, scimark_benchmark: 1726.5817, usercpu_time_millis: 1223.589, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 1222.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.73, kappa: 0.4615, kb_relative_information_score: 637.0537, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7334, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8544, scimark_benchmark: 1746.2123, usercpu_time_millis: 151.614, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 150.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.6152, kappa: 0.2308, kb_relative_information_score: 196.4007, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6156, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9638, scimark_benchmark: 1751.9138, usercpu_time_millis: 72.172, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 71.249,

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