OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 145857 Supervised Classification phoneme 102354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8848, kappa: 0.721, kb_relative_information_score: 2965.5717, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8844, predictive_accuracy: 0.8853, prior_entropy: 0.8733, recall: 0.8853, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6423, scimark_benchmark: 1815.0712, usercpu_time_millis: 70.017, usercpu_time_millis_testing: 2.633, usercpu_time_millis_training: 67.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8072, kappa: 0.5226, kb_relative_information_score: 2068.4959, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8078, predictive_accuracy: 0.8144, prior_entropy: 0.8733, recall: 0.8144, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7743, scimark_benchmark: 1853.9121, usercpu_time_millis: 73.977, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 71.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8902, kappa: 0.7345, kb_relative_information_score: 3052.174, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8899, predictive_accuracy: 0.8905, prior_entropy: 0.8733, recall: 0.8905, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.6317, scimark_benchmark: 1854.6408, usercpu_time_millis: 80.628, usercpu_time_millis_testing: 3.577, usercpu_time_millis_training: 77.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8941, kappa: 0.7437, kb_relative_information_score: 3120.3238, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8938, predictive_accuracy: 0.8945, prior_entropy: 0.8733, recall: 0.8945, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.6156, scimark_benchmark: 1817.0461, usercpu_time_millis: 59.581, usercpu_time_millis_testing: 4.446, usercpu_time_millis_training: 55.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8834, kappa: 0.7181, kb_relative_information_score: 2966.8178, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8832, predictive_accuracy: 0.8838, prior_entropy: 0.8733, recall: 0.8838, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.6425, scimark_benchmark: 1746.9188, usercpu_time_millis: 58.078, usercpu_time_millis_testing: 2.94, usercpu_time_millis_training: 55.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9054, kappa: 0.7714, kb_relative_information_score: 3422.3596, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9052, predictive_accuracy: 0.9056, prior_entropy: 0.8733, recall: 0.9056, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5835, scimark_benchmark: 1847.8629, usercpu_time_millis: 101.917, usercpu_time_millis_testing: 4.237, usercpu_time_millis_training: 97.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9018, kappa: 0.7625, kb_relative_information_score: 3305.596, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9016, predictive_accuracy: 0.9021, prior_entropy: 0.8733, recall: 0.9021, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5957, scimark_benchmark: 1823.8876, usercpu_time_millis: 78.974, usercpu_time_millis_testing: 4.138, usercpu_time_millis_training: 74.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8994, kappa: 0.757, kb_relative_information_score: 3257.6403, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8993, predictive_accuracy: 0.8995, prior_entropy: 0.8733, recall: 0.8995, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.6014, scimark_benchmark: 1857.5602, usercpu_time_millis: 54.234, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 51.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8641, kappa: 0.6693, kb_relative_information_score: 2577.1544, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8635, predictive_accuracy: 0.8655, prior_entropy: 0.8733, recall: 0.8655, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6925, scimark_benchmark: 1856.6531, usercpu_time_millis: 55.79, usercpu_time_millis_testing: 2.103, usercpu_time_millis_training: 53.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8698, kappa: 0.6855, kb_relative_information_score: 2932.7201, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8696, predictive_accuracy: 0.8701, prior_entropy: 0.8733, recall: 0.8701, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6605, scimark_benchmark: 1857.1691, usercpu_time_millis: 80.066, usercpu_time_millis_testing: 2.17, usercpu_time_millis_training: 77.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8882, kappa: 0.73, kb_relative_information_score: 3134.1706, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.888, predictive_accuracy: 0.8884, prior_entropy: 0.8733, recall: 0.8884, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.6252, scimark_benchmark: 1851.9456, usercpu_time_millis: 61.317, usercpu_time_millis_testing: 2.19, usercpu_time_millis_training: 59.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8882, kappa: 0.7296, kb_relative_information_score: 3031.3945, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8879, predictive_accuracy: 0.8886, prior_entropy: 0.8733, recall: 0.8886, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.633, scimark_benchmark: 1858.6076, usercpu_time_millis: 91.913, usercpu_time_millis_testing: 3.683, usercpu_time_millis_training: 88.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8645, kappa: 0.6716, kb_relative_information_score: 2768.5054, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.864, predictive_accuracy: 0.8653, prior_entropy: 0.8733, recall: 0.8653, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6768, scimark_benchmark: 1841.1596, usercpu_time_millis: 99.61, usercpu_time_millis_testing: 2.605, usercpu_time_millis_training: 97.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8757, kappa: 0.6987, kb_relative_information_score: 2809.7241, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8753, predictive_accuracy: 0.8764, prior_entropy: 0.8733, recall: 0.8764, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6624, scimark_benchmark: 1856.5802, usercpu_time_millis: 78.246, usercpu_time_millis_testing: 3.401, usercpu_time_millis_training: 74.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8604, kappa: 0.6609, kb_relative_information_score: 2642.802, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8598, predictive_accuracy: 0.8616, prior_entropy: 0.8733, recall: 0.8616, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6897, scimark_benchmark: 1854.4951, usercpu_time_millis: 47.731, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 46.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8827, kappa: 0.7159, kb_relative_information_score: 2901.3639, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8823, predictive_accuracy: 0.8832, prior_entropy: 0.8733, recall: 0.8832, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6469, scimark_benchmark: 1855.0232, usercpu_time_millis: 48.579, usercpu_time_millis_testing: 3.918, usercpu_time_millis_training: 44.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8914, kappa: 0.7371, kb_relative_information_score: 2897.1371, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8911, predictive_accuracy: 0.8919, prior_entropy: 0.8733, recall: 0.8919, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6376, scimark_benchmark: 1823.8876, usercpu_time_millis: 51.627, usercpu_time_millis_testing: 3.822, usercpu_time_millis_training: 47.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8847, kappa: 0.7205, kb_relative_information_score: 2768.4703, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8843, predictive_accuracy: 0.8853, prior_entropy: 0.8733, recall: 0.8853, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6549, scimark_benchmark: 1741.4453, usercpu_time_millis: 42.133, usercpu_time_millis_testing: 3.217, usercpu_time_millis_training: 38.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.825, kappa: 0.5714, kb_relative_information_score: 1996.666, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.824, predictive_accuracy: 0.8283, prior_entropy: 0.8733, recall: 0.8283, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7629, scimark_benchmark: 1857.7641, usercpu_time_millis: 43.621, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 41.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8926, kappa: 0.7406, kb_relative_information_score: 3206.2139, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8925, predictive_accuracy: 0.8929, prior_entropy: 0.8733, recall: 0.8929, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.614, scimark_benchmark: 1844.6953, usercpu_time_millis: 53.986, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 51.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8947, kappa: 0.7458, kb_relative_information_score: 3215.2113, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8946, predictive_accuracy: 0.8949, prior_entropy: 0.8733, recall: 0.8949, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6125, scimark_benchmark: 1807.2842, usercpu_time_millis: 86.392, usercpu_time_millis_testing: 3.051, usercpu_time_millis_training: 83.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8922, kappa: 0.7392, kb_relative_information_score: 3161.9518, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8919, predictive_accuracy: 0.8925, prior_entropy: 0.8733, recall: 0.8925, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.28, root_relative_squared_error: 0.6148, scimark_benchmark: 1858.1494, usercpu_time_millis: 81.983, usercpu_time_millis_testing: 4.645, usercpu_time_millis_training: 77.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8686, kappa: 0.6809, kb_relative_information_score: 2718.3913, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.868, predictive_accuracy: 0.8695, prior_entropy: 0.8733, recall: 0.8695, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6756, scimark_benchmark: 1855.4813, usercpu_time_millis: 38.92, usercpu_time_millis_testing: 2.622, usercpu_time_millis_training: 36.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8279, kappa: 0.5788, kb_relative_information_score: 2017.7869, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8268, predictive_accuracy: 0.8309, prior_entropy: 0.8733, recall: 0.8309, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7593, scimark_benchmark: 1853.5818, usercpu_time_millis: 25.39, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 23.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8744, kappa: 0.6948, kb_relative_information_score: 2593.4804, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8739, predictive_accuracy: 0.8755, prior_entropy: 0.8733, recall: 0.8755, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6782, scimark_benchmark: 1855.4813, usercpu_time_millis: 39.097, usercpu_time_millis_testing: 2.999, usercpu_time_millis_training: 36.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8627, kappa: 0.6658, kb_relative_information_score: 2455.3046, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8621, predictive_accuracy: 0.8642, prior_entropy: 0.8733, recall: 0.8642, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.32, root_relative_squared_error: 0.7028, scimark_benchmark: 1808.2959, usercpu_time_millis: 33.906, usercpu_time_millis_testing: 2.878, usercpu_time_millis_training: 31.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7872, kappa: 0.4761, kb_relative_information_score: 1769.3405, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7856, predictive_accuracy: 0.7929, prior_entropy: 0.8733, recall: 0.7929, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.8026, scimark_benchmark: 1851.3986, usercpu_time_millis: 35.701, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 34.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.849, kappa: 0.6304, kb_relative_information_score: 2184.9396, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8484, predictive_accuracy: 0.8516, prior_entropy: 0.8733, recall: 0.8516, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7287, scimark_benchmark: 1844.8498, usercpu_time_millis: 36.051, usercpu_time_millis_testing: 2.511, usercpu_time_millis_training: 33.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8799, kappa: 0.7085, kb_relative_information_score: 2686.5763, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8794, predictive_accuracy: 0.8806, prior_entropy: 0.8733, recall: 0.8806, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6658, scimark_benchmark: 1862.3618, usercpu_time_millis: 33.623, usercpu_time_millis_testing: 2.975, usercpu_time_millis_training: 30.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7856, kappa: 0.4791, kb_relative_information_score: 1645.8629, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7843, predictive_accuracy: 0.7874, prior_entropy: 0.8733, recall: 0.7874, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.37, root_relative_squared_error: 0.8125, scimark_benchmark: 1858.6775, usercpu_time_millis: 35.123, usercpu_time_millis_testing: 1.847, usercpu_time_millis_training: 33.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8992, kappa: 0.7561, kb_relative_information_score: 3191.1614, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8989, predictive_accuracy: 0.8995, prior_entropy: 0.8733, recall: 0.8995, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.6058, scimark_benchmark: 1858.6775, usercpu_time_millis: 51.405, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 48.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9004, kappa: 0.7595, kb_relative_information_score: 3290.0334, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9003, predictive_accuracy: 0.9006, prior_entropy: 0.8733, recall: 0.9006, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.5978, scimark_benchmark: 1857.0384, usercpu_time_millis: 56.597, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 54.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.893, kappa: 0.7409, kb_relative_information_score: 3050.7171, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8927, predictive_accuracy: 0.8934, prior_entropy: 0.8733, recall: 0.8934, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.285, root_relative_squared_error: 0.6258, scimark_benchmark: 1858.1494, usercpu_time_millis: 49.371, usercpu_time_millis_testing: 2.449, usercpu_time_millis_training: 46.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8066, kappa: 0.5287, kb_relative_information_score: 1793.7759, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8052, predictive_accuracy: 0.8088, prior_entropy: 0.8733, recall: 0.8088, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7824, scimark_benchmark: 1747.7867, usercpu_time_millis: 29.884, usercpu_time_millis_testing: 1.865, usercpu_time_millis_training: 28.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9052, kappa: 0.7708, kb_relative_information_score: 3477.683, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.905, predictive_accuracy: 0.9054, prior_entropy: 0.8733, recall: 0.9054, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5831, scimark_benchmark: 1853.5148, usercpu_time_millis: 53.207, usercpu_time_millis_testing: 1.958, usercpu_time_millis_training: 51.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8777, kappa: 0.7033, kb_relative_information_score: 2757.0349, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8772, predictive_accuracy: 0.8784, prior_entropy: 0.8733, recall: 0.8784, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6663, scimark_benchmark: 1855.5999, usercpu_time_millis: 54.122, usercpu_time_millis_testing: 2.545, usercpu_time_millis_training: 51.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8908, kappa: 0.736, kb_relative_information_score: 3099.8517, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8905, predictive_accuracy: 0.891, prior_entropy: 0.8733, recall: 0.891, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.6241, scimark_benchmark: 1817.5042, usercpu_time_millis: 31.682, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 30.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8744, kappa: 0.6959, kb_relative_information_score: 2839.9177, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.874, predictive_accuracy: 0.8749, prior_entropy: 0.8733, recall: 0.8749, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.301, root_relative_squared_error: 0.661, scimark_benchmark: 1851.9456, usercpu_time_millis: 72.817, usercpu_time_millis_testing: 3.585, usercpu_time_millis_training: 69.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8819, kappa: 0.7136, kb_relative_information_score: 2883.2725, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8815, predictive_accuracy: 0.8827, prior_entropy: 0.8733, recall: 0.8827, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.649, scimark_benchmark: 1849.7502, usercpu_time_millis: 26.672, usercpu_time_millis_testing: 1.396, usercpu_time_millis_training: 25.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8861, kappa: 0.7247, kb_relative_information_score: 2993.7027, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8859, predictive_accuracy: 0.8864, prior_entropy: 0.8733, recall: 0.8864, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6367, scimark_benchmark: 1854.9533, usercpu_time_millis: 21.423, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 20.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8536, kappa: 0.6432, kb_relative_information_score: 2436.0218, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8528, predictive_accuracy: 0.8553, prior_entropy: 0.8733, recall: 0.8553, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.325, root_relative_squared_error: 0.7138, scimark_benchmark: 1853.454, usercpu_time_millis: 21.979, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 21.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8954, kappa: 0.7471, kb_relative_information_score: 3153.3552, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8952, predictive_accuracy: 0.8956, prior_entropy: 0.8733, recall: 0.8956, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.6145, scimark_benchmark: 1818.0901, usercpu_time_millis: 25.929, usercpu_time_millis_testing: 1.328, usercpu_time_millis_training: 24.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8002, kappa: 0.5136, kb_relative_information_score: 1732.614, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7988, predictive_accuracy: 0.8024, prior_entropy: 0.8733, recall: 0.8024, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7901, scimark_benchmark: 1847.8791, usercpu_time_millis: 25.509, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 23.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8467, kappa: 0.6249, kb_relative_information_score: 2163.62, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8461, predictive_accuracy: 0.8494, prior_entropy: 0.8733, recall: 0.8494, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.7367, scimark_benchmark: 1855.4813, usercpu_time_millis: 22.55, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 20.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8874, kappa: 0.7274, kb_relative_information_score: 3018.0974, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8871, predictive_accuracy: 0.8879, prior_entropy: 0.8733, recall: 0.8879, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6356, scimark_benchmark: 1852.4008, usercpu_time_millis: 32.753, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 31.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8974, kappa: 0.7516, kb_relative_information_score: 3036.2724, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8971, predictive_accuracy: 0.8979, prior_entropy: 0.8733, recall: 0.8979, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6196, scimark_benchmark: 1836.207, usercpu_time_millis: 30.029, usercpu_time_millis_testing: 2.788, usercpu_time_millis_training: 27.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8852, kappa: 0.7217, kb_relative_information_score: 2774.3696, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8848, predictive_accuracy: 0.8858, prior_entropy: 0.8733, recall: 0.8858, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.6541, scimark_benchmark: 1829.2021, usercpu_time_millis: 33.112, usercpu_time_millis_testing: 3.153, usercpu_time_millis_training: 29.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8445, kappa: 0.6196, kb_relative_information_score: 2141.9462, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8438, predictive_accuracy: 0.8472, prior_entropy: 0.8733, recall: 0.8472, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.7393, scimark_benchmark: 1855.6669, usercpu_time_millis: 30.005, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 28.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.8699, kappa: 0.6851, kb_relative_information_score: 2852.1091, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8695, predictive_accuracy: 0.8705, prior_entropy: 0.8733, recall: 0.8705, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6646, scimark_benchmark: 1843.4438, usercpu_time_millis: 31.844, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 31.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8293, kappa: 0.5812, kb_relative_information_score: 2110.0253, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8285, predictive_accuracy: 0.8329, prior_entropy: 0.8733, recall: 0.8329, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.7566, scimark_benchmark: 1853.6511, usercpu_time_millis: 51.271, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 49.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8959, kappa: 0.7483, kb_relative_information_score: 3204.9831, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8957, predictive_accuracy: 0.8962, prior_entropy: 0.8733, recall: 0.8962, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.6075, scimark_benchmark: 1854.4951, usercpu_time_millis: 50.501, usercpu_time_millis_testing: 2.702, usercpu_time_millis_training: 47.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.862, kappa: 0.6639, kb_relative_information_score: 2410.4402, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8614, predictive_accuracy: 0.8636, prior_entropy: 0.8733, recall: 0.8636, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7075, scimark_benchmark: 1826.7589, usercpu_time_millis: 34.173, usercpu_time_millis_testing: 1.943, usercpu_time_millis_training: 32.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8536, kappa: 0.6432, kb_relative_information_score: 2418.0076, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8529, predictive_accuracy: 0.8555, prior_entropy: 0.8733, recall: 0.8555, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.7149, scimark_benchmark: 1853.97, usercpu_time_millis: 51.287, usercpu_time_millis_testing: 2.19, usercpu_time_millis_training: 49.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8207, kappa: 0.5607, kb_relative_information_score: 1950.4421, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8195, predictive_accuracy: 0.824, prior_entropy: 0.8733, recall: 0.824, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7711, scimark_benchmark: 1822.9014, usercpu_time_millis: 35.628, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 34.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8504, kappa: 0.6347, kb_relative_information_score: 2365.9416, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8497, predictive_accuracy: 0.8525, prior_entropy: 0.8733, recall: 0.8525, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7214, scimark_benchmark: 1853.5818, usercpu_time_millis: 29.196, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 28.219,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9015, kappa: 0.7617, kb_relative_information_score: 3243.8276, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9013, predictive_accuracy: 0.9019, prior_entropy: 0.8733, recall: 0.9019, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5983, scimark_benchmark: 1818.9456, usercpu_time_millis: 47.137, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 44.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8629, kappa: 0.6665, kb_relative_information_score: 2543.2758, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8622, predictive_accuracy: 0.8642, prior_entropy: 0.8733, recall: 0.8642, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6967, scimark_benchmark: 1862.2919, usercpu_time_millis: 24.338, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 23.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8582, kappa: 0.6548, kb_relative_information_score: 2533.6617, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8575, predictive_accuracy: 0.8597, prior_entropy: 0.8733, recall: 0.8597, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.7024, scimark_benchmark: 1806.8261, usercpu_time_millis: 68.451, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 65.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8793, kappa: 0.7084, kb_relative_information_score: 3486.3621, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8791, predictive_accuracy: 0.8795, prior_entropy: 0.8733, recall: 0.8795, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6754, scimark_benchmark: 1855.0232, usercpu_time_millis: 64.108, usercpu_time_millis_testing: 1.689, usercpu_time_millis_training: 62.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8217, kappa: 0.5608, kb_relative_information_score: 2128.1312, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8214, predictive_accuracy: 0.8266, prior_entropy: 0.8733, recall: 0.8266, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7606, scimark_benchmark: 1845.7727, usercpu_time_millis: 27.388, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 26.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8928, kappa: 0.7411, kb_relative_information_score: 3254.6424, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8927, predictive_accuracy: 0.893, prior_entropy: 0.8733, recall: 0.893, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.6122, scimark_benchmark: 1859.1356, usercpu_time_millis: 130.24, usercpu_time_millis_testing: 4.414, usercpu_time_millis_training: 125.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8888, kappa: 0.7311, kb_relative_information_score: 3154.7727, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8885, predictive_accuracy: 0.8892, prior_entropy: 0.8733, recall: 0.8892, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6218, scimark_benchmark: 1825.4071, usercpu_time_millis: 27.067, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 26.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.801, kappa: 0.515, kb_relative_information_score: 1739.6965, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7995, predictive_accuracy: 0.8033, prior_entropy: 0.8733, recall: 0.8033, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7891, scimark_benchmark: 1851.3287, usercpu_time_millis: 27.165, usercpu_time_millis_testing: 2.023, usercpu_time_millis_training: 25.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8757, kappa: 0.6991, kb_relative_information_score: 2843.8247, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8753, predictive_accuracy: 0.8762, prior_entropy: 0.8733, recall: 0.8762, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6601, scimark_benchmark: 1852.4008, usercpu_time_millis: 27.757, usercpu_time_millis_testing: 1.756, usercpu_time_millis_training: 26.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8586, kappa: 0.6553, kb_relative_information_score: 2345.2036, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8579, predictive_accuracy: 0.8603, prior_entropy: 0.8733, recall: 0.8603, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7098, scimark_benchmark: 1859.1356, usercpu_time_millis: 20.841, usercpu_time_millis_testing: 2.102, usercpu_time_millis_training: 18.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9009, kappa: 0.7605, kb_relative_information_score: 3396.8935, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9007, predictive_accuracy: 0.9012, prior_entropy: 0.8733, recall: 0.9012, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5934, scimark_benchmark: 1857.2361, usercpu_time_millis: 65.752, usercpu_time_millis_testing: 2.352, usercpu_time_millis_training: 63.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.894, kappa: 0.7435, kb_relative_information_score: 3085.3466, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8937, predictive_accuracy: 0.8943, prior_entropy: 0.8733, recall: 0.8943, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6205, scimark_benchmark: 1813.6996, usercpu_time_millis: 61.018, usercpu_time_millis_testing: 3.698, usercpu_time_millis_training: 57.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8853, kappa: 0.7228, kb_relative_information_score: 3082.4708, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8851, predictive_accuracy: 0.8855, prior_entropy: 0.8733, recall: 0.8855, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.6324, scimark_benchmark: 1854.9533, usercpu_time_millis: 146.32, usercpu_time_millis_testing: 4.525, usercpu_time_millis_training: 141.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8957, kappa: 0.7478, kb_relative_information_score: 3526.6568, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8955, predictive_accuracy: 0.896, prior_entropy: 0.8733, recall: 0.896, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6077, scimark_benchmark: 1856.5826, usercpu_time_millis: 64.655, usercpu_time_millis_testing: 2.09, usercpu_time_millis_training: 62.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7766, kappa: 0.4686, kb_relative_information_score: 1405.9292, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7804, predictive_accuracy: 0.7739, prior_entropy: 0.8733, recall: 0.7739, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.8409, scimark_benchmark: 1729.9064, usercpu_time_millis: 14.375, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 13.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8513, kappa: 0.6365, kb_relative_information_score: 2213.3905, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8506, predictive_accuracy: 0.8536, prior_entropy: 0.8733, recall: 0.8536, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7255, scimark_benchmark: 1850.4554, usercpu_time_millis: 22.439, usercpu_time_millis_testing: 2.189, usercpu_time_millis_training: 20.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.7899, kappa: 0.4819, kb_relative_information_score: 1541.4949, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7885, predictive_accuracy: 0.7959, prior_entropy: 0.8733, recall: 0.7959, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.807, scimark_benchmark: 1857.5602, usercpu_time_millis: 4.733, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 4.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8718, kappa: 0.6892, kb_relative_information_score: 2776.8253, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8713, predictive_accuracy: 0.8725, prior_entropy: 0.8733, recall: 0.8725, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6678, scimark_benchmark: 1856.1887, usercpu_time_millis: 35.205, usercpu_time_millis_testing: 2.101, usercpu_time_millis_training: 33.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8327, kappa: 0.5905, kb_relative_information_score: 2062.9247, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8318, predictive_accuracy: 0.8357, prior_entropy: 0.8733, recall: 0.8357, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.7556, scimark_benchmark: 1851.3287, usercpu_time_millis: 18.672, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 17.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8391, kappa: 0.6076, kb_relative_information_score: 2145.7647, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8382, predictive_accuracy: 0.8412, prior_entropy: 0.8733, recall: 0.8412, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7478, scimark_benchmark: 1836.152, usercpu_time_millis: 19.055, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 18.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9081, kappa: 0.7779, kb_relative_information_score: 3322.5144, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9079, predictive_accuracy: 0.9084, prior_entropy: 0.8733, recall: 0.9084, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5837, scimark_benchmark: 1830.1853, usercpu_time_millis: 21.477, usercpu_time_millis_testing: 1.689, usercpu_time_millis_training: 19.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.585, kb_relative_information_score: -0.0171, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1130.4581, usercpu_time_millis: 8.485, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 7.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7725, kappa: 0.4506, kb_relative_information_score: 1287.2055, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7722, predictive_accuracy: 0.7728, prior_entropy: 0.8733, recall: 0.7728, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8537, scimark_benchmark: 1815.2689, usercpu_time_millis: 13.879, usercpu_time_millis_testing: 1.344, usercpu_time_millis_training: 12.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7619, kappa: 0.4474, kb_relative_information_score: 1277.6685, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7753, predictive_accuracy: 0.7554, prior_entropy: 0.8733, recall: 0.7554, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.8613, scimark_benchmark: 1817.0461, usercpu_time_millis: 13.739, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 12.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.836, kappa: 0.5979, kb_relative_information_score: 2225.1662, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8354, predictive_accuracy: 0.8394, prior_entropy: 0.8733, recall: 0.8394, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.744, scimark_benchmark: 1853.97, usercpu_time_millis: 40.429, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 39.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8279, kappa: 0.5796, kb_relative_information_score: 2004.1407, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8268, predictive_accuracy: 0.8305, prior_entropy: 0.8733, recall: 0.8305, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7639, scimark_benchmark: 1851.3287, usercpu_time_millis: 16.418, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 15.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.879, kappa: 0.7071, kb_relative_information_score: 2957.8763, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8786, predictive_accuracy: 0.8795, prior_entropy: 0.8733, recall: 0.8795, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6503, scimark_benchmark: 1853.5818, usercpu_time_millis: 1.503, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7613, kappa: 0.4477, kb_relative_information_score: 1248.9365, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.776, predictive_accuracy: 0.7544, prior_entropy: 0.8733, recall: 0.7544, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8681, scimark_benchmark: 1851.4874, usercpu_time_millis: 1.667, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.902, kappa: 0.7629, kb_relative_information_score: 3272.1477, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9018, predictive_accuracy: 0.9023, prior_entropy: 0.8733, recall: 0.9023, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5992, scimark_benchmark: 1855.4813, usercpu_time_millis: 21.739, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 20.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7751, kappa: 0.4718, kb_relative_information_score: 1370.8042, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7835, predictive_accuracy: 0.7704, prior_entropy: 0.8733, recall: 0.7704, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.8472, scimark_benchmark: 1821.4629, usercpu_time_millis: 26.381, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 25.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8932, kappa: 0.7421, kb_relative_information_score: 3212.2115, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8931, predictive_accuracy: 0.8934, prior_entropy: 0.8733, recall: 0.8934, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.278, root_relative_squared_error: 0.6105, scimark_benchmark: 1837.0997, usercpu_time_millis: 140.911, usercpu_time_millis_testing: 5.344, usercpu_time_millis_training: 135.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8646, kappa: 0.671, kb_relative_information_score: 2604.0949, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.864, predictive_accuracy: 0.8658, prior_entropy: 0.8733, recall: 0.8658, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6896, scimark_benchmark: 1858.1494, usercpu_time_millis: 10.811, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 10.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8711, kappa: 0.6867, kb_relative_information_score: 2546.2804, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8706, predictive_accuracy: 0.8723, prior_entropy: 0.8733, recall: 0.8723, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6846, scimark_benchmark: 1829.7272, usercpu_time_millis: 20.453, usercpu_time_millis_testing: 2.375, usercpu_time_millis_training: 18.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8746, kappa: 0.696, kb_relative_information_score: 2795.0531, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8741, predictive_accuracy: 0.8753, prior_entropy: 0.8733, recall: 0.8753, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6646, scimark_benchmark: 1744.1974, usercpu_time_millis: 11.793, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 11.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.585, kb_relative_information_score: -1.0442, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1736.3501, usercpu_time_millis: 5.595, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 4.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8688, kappa: 0.6816, kb_relative_information_score: 2712.4818, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8683, predictive_accuracy: 0.8697, prior_entropy: 0.8733, recall: 0.8697, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6769, scimark_benchmark: 1735.537, usercpu_time_millis: 12.325, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 11.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8949, kappa: 0.7458, kb_relative_information_score: 3312.573, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8946, predictive_accuracy: 0.8953, prior_entropy: 0.8733, recall: 0.8953, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.6079, scimark_benchmark: 1853.0566, usercpu_time_millis: 127.643, usercpu_time_millis_testing: 4.241, usercpu_time_millis_training: 123.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8096, kappa: 0.5347, kb_relative_information_score: 1836.5989, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8082, predictive_accuracy: 0.8125, prior_entropy: 0.8733, recall: 0.8125, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7802, scimark_benchmark: 1848.388, usercpu_time_millis: 38.383, usercpu_time_millis_testing: 2.025, usercpu_time_millis_training: 36.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8081, kappa: 0.5291, kb_relative_information_score: 1723.6689, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8068, predictive_accuracy: 0.8122, prior_entropy: 0.8733, recall: 0.8122, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7855, scimark_benchmark: 1859.8037, usercpu_time_millis: 17.98, usercpu_time_millis_testing: 1.691, usercpu_time_millis_training: 16.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8034, kappa: 0.5131, kb_relative_information_score: 1993.443, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8038, predictive_accuracy: 0.8107, prior_entropy: 0.8733, recall: 0.8107, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7854, scimark_benchmark: 1857.184, usercpu_time_millis: 10.591, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 10.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8428, kappa: 0.6153, kb_relative_information_score: 2137.8372, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8421, predictive_accuracy: 0.8455, prior_entropy: 0.8733, recall: 0.8455, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7407, scimark_benchmark: 1848.916, usercpu_time_millis: 21.127, usercpu_time_millis_testing: 1.884, usercpu_time_millis_training: 19.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8186, kappa: 0.5549, kb_relative_information_score: 1961.3915, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8176, predictive_accuracy: 0.8225, prior_entropy: 0.8733, recall: 0.8225, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7652, scimark_benchmark: 1838.6689, usercpu_time_millis: 20.504, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 19.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8849, kappa: 0.722, kb_relative_information_score: 3018.9258, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8847, predictive_accuracy: 0.8851, prior_entropy: 0.8733, recall: 0.8851, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6378, scimark_benchmark: 1860.7227, usercpu_time_millis: 49.752, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 48.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8077, kappa: 0.5301, kb_relative_information_score: 1769.3712, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8062, predictive_accuracy: 0.8107, prior_entropy: 0.8733, recall: 0.8107, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7853, scimark_benchmark: 1858.1494, usercpu_time_millis: 12.338, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 11.089,

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