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: 0.9054, f_measure: 0.838, kappa: 0.6032, kb_relative_information_score: 2204.4066, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8373, predictive_accuracy: 0.841, prior_entropy: 0.8733, recall: 0.841, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7447, scimark_benchmark: 1842.1399, usercpu_time_millis: 10.878, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 10.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.7862, kappa: 0.4717, kb_relative_information_score: 1507.7632, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.785, predictive_accuracy: 0.7931, prior_entropy: 0.8733, recall: 0.7931, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.8109, scimark_benchmark: 1855.0232, usercpu_time_millis: 10.634, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 9.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8955, kappa: 0.7469, kb_relative_information_score: 3062.5921, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8952, predictive_accuracy: 0.896, prior_entropy: 0.8733, recall: 0.896, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.6208, scimark_benchmark: 1853.454, usercpu_time_millis: 7.448, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 7.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.6727, kappa: 0.1851, kb_relative_information_score: 884.5647, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.764, predictive_accuracy: 0.7424, prior_entropy: 0.8733, recall: 0.7424, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8798, scimark_benchmark: 1855.4813, usercpu_time_millis: 6.357, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 5.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7762, kappa: 0.4475, kb_relative_information_score: 1259.14, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7744, predictive_accuracy: 0.7831, prior_entropy: 0.8733, recall: 0.7831, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.8423, scimark_benchmark: 1857.5664, usercpu_time_millis: 9.039, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 8.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8718, kappa: 0.6894, kb_relative_information_score: 2774.4141, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8714, predictive_accuracy: 0.8725, prior_entropy: 0.8733, recall: 0.8725, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6766, scimark_benchmark: 1843.1261, usercpu_time_millis: 0.609, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7793, kappa: 0.466, kb_relative_information_score: 1338.7823, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7786, predictive_accuracy: 0.7802, prior_entropy: 0.8733, recall: 0.7802, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.8421, scimark_benchmark: 1842.2565, usercpu_time_millis: 2.739, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 2.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8721, kappa: 0.6904, kb_relative_information_score: 2862.4222, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8717, predictive_accuracy: 0.8727, prior_entropy: 0.8733, recall: 0.8727, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6625, scimark_benchmark: 1093.7792, usercpu_time_millis: 147.746, usercpu_time_millis_testing: 3.447, usercpu_time_millis_training: 144.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9068, kappa: 0.7745, kb_relative_information_score: 3455.5385, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9066, predictive_accuracy: 0.9071, prior_entropy: 0.8733, recall: 0.9071, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5794, scimark_benchmark: 1740.0712, usercpu_time_millis: 89.025, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 86.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8743, kappa: 0.6958, kb_relative_information_score: 2911.1465, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8739, predictive_accuracy: 0.8747, prior_entropy: 0.8733, recall: 0.8747, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6559, scimark_benchmark: 1749.5964, usercpu_time_millis: 68.715, usercpu_time_millis_testing: 1.655, usercpu_time_millis_training: 67.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8497, kappa: 0.6341, kb_relative_information_score: 2316.5028, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8489, predictive_accuracy: 0.8514, prior_entropy: 0.8733, recall: 0.8514, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7256, scimark_benchmark: 1837.2609, usercpu_time_millis: 55.627, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 53.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8952, kappa: 0.7464, kb_relative_information_score: 3078.4375, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8949, predictive_accuracy: 0.8956, prior_entropy: 0.8733, recall: 0.8956, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6205, scimark_benchmark: 1749.7572, usercpu_time_millis: 41.004, usercpu_time_millis_testing: 1.721, usercpu_time_millis_training: 39.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8206, kappa: 0.5605, kb_relative_information_score: 1918.9942, mean_absolute_error: 0.2678, 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: 0.6458, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7666, scimark_benchmark: 1737.9566, usercpu_time_millis: 36.292, usercpu_time_millis_testing: 2.17, usercpu_time_millis_training: 34.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7776, kappa: 0.476, kb_relative_information_score: 1453.7796, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7846, predictive_accuracy: 0.7735, prior_entropy: 0.8733, recall: 0.7735, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8375, scimark_benchmark: 1849.8294, usercpu_time_millis: 28.356, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 27.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8932, kappa: 0.7413, kb_relative_information_score: 3025.7366, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8929, predictive_accuracy: 0.8938, prior_entropy: 0.8733, recall: 0.8938, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6274, scimark_benchmark: 1745.4555, usercpu_time_millis: 25.71, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 24.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8315, kappa: 0.588, kb_relative_information_score: 2049.5777, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8305, predictive_accuracy: 0.8342, prior_entropy: 0.8733, recall: 0.8342, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7561, scimark_benchmark: 1853.9849, usercpu_time_millis: 24.961, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 23.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8075, kappa: 0.5266, kb_relative_information_score: 1706.3974, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8065, predictive_accuracy: 0.8124, prior_entropy: 0.8733, recall: 0.8124, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7875, scimark_benchmark: 1853.454, usercpu_time_millis: 18.618, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 16.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.585, kb_relative_information_score: 0.0536, 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: 0.9998, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1067.2019, usercpu_time_millis: 12.192, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 10.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8294, kappa: 0.5808, kb_relative_information_score: 1964.5975, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8289, predictive_accuracy: 0.8335, prior_entropy: 0.8733, recall: 0.8335, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7559, scimark_benchmark: 1853.454, usercpu_time_millis: 14.275, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 13.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8909, kappa: 0.7352, kb_relative_information_score: 2903.2766, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8906, predictive_accuracy: 0.8917, prior_entropy: 0.8733, recall: 0.8917, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6363, scimark_benchmark: 1854.9533, usercpu_time_millis: 9.856, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 9.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8035, kappa: 0.5174, kb_relative_information_score: 1705.6633, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8021, predictive_accuracy: 0.8079, prior_entropy: 0.8733, recall: 0.8079, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7876, scimark_benchmark: 1853.454, usercpu_time_millis: 6.327, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 5.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7762, kappa: 0.448, kb_relative_information_score: 1262.9793, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7744, predictive_accuracy: 0.7829, prior_entropy: 0.8733, recall: 0.7829, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.8424, scimark_benchmark: 1747.771, usercpu_time_millis: 5.83, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 5.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8343, kappa: 0.5927, kb_relative_information_score: 2040.8243, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.834, predictive_accuracy: 0.8383, prior_entropy: 0.8733, recall: 0.8383, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7466, scimark_benchmark: 1835.7157, usercpu_time_millis: 5.738, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 5.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8599, kappa: 0.6591, kb_relative_information_score: 2464.9982, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8593, predictive_accuracy: 0.8614, prior_entropy: 0.8733, recall: 0.8614, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7054, scimark_benchmark: 1853.454, usercpu_time_millis: 3.989, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 3.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7712, kappa: 0.4487, kb_relative_information_score: 1294.2143, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7714, predictive_accuracy: 0.7711, prior_entropy: 0.8733, recall: 0.7711, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.8539, scimark_benchmark: 1851.3986, usercpu_time_millis: 3.045, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 2.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.585, kb_relative_information_score: 0.4473, 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: 1854.4431, usercpu_time_millis: 2.482, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 2.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8629, kappa: 0.6672, kb_relative_information_score: 2707.7548, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8623, predictive_accuracy: 0.864, prior_entropy: 0.8733, recall: 0.864, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6824, scimark_benchmark: 1740.2061, usercpu_time_millis: 117.067, usercpu_time_millis_testing: 3.127, usercpu_time_millis_training: 113.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9054, kappa: 0.7714, kb_relative_information_score: 3334.014, mean_absolute_error: 0.1658, 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: 0.3998, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5904, scimark_benchmark: 1851.8567, usercpu_time_millis: 100.445, usercpu_time_millis_testing: 3.158, usercpu_time_millis_training: 97.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8485, kappa: 0.6309, kb_relative_information_score: 2468.3713, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8476, predictive_accuracy: 0.8501, prior_entropy: 0.8733, recall: 0.8501, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7139, scimark_benchmark: 1818.5819, usercpu_time_millis: 73.699, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 71.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8588, kappa: 0.6561, kb_relative_information_score: 2421.9863, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8581, predictive_accuracy: 0.8603, prior_entropy: 0.8733, recall: 0.8603, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7108, scimark_benchmark: 1758.6606, usercpu_time_millis: 63.109, usercpu_time_millis_testing: 2.461, usercpu_time_millis_training: 60.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9056, kappa: 0.7715, kb_relative_information_score: 3186.625, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9054, predictive_accuracy: 0.906, prior_entropy: 0.8733, recall: 0.906, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5991, scimark_benchmark: 1847.7335, usercpu_time_millis: 48.446, usercpu_time_millis_testing: 2.855, usercpu_time_millis_training: 45.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.871, kappa: 0.6864, kb_relative_information_score: 2602.1589, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8704, predictive_accuracy: 0.8721, prior_entropy: 0.8733, recall: 0.8721, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6839, scimark_benchmark: 1728.0167, usercpu_time_millis: 53.427, usercpu_time_millis_testing: 2.289, usercpu_time_millis_training: 51.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.877, kappa: 0.7017, kb_relative_information_score: 2819.8007, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8765, predictive_accuracy: 0.8777, prior_entropy: 0.8733, recall: 0.8777, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6607, scimark_benchmark: 1786.9059, usercpu_time_millis: 53.577, usercpu_time_millis_testing: 1.742, usercpu_time_millis_training: 51.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8999, kappa: 0.7579, kb_relative_information_score: 3178.2782, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8997, predictive_accuracy: 0.9003, prior_entropy: 0.8733, recall: 0.9003, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.6081, scimark_benchmark: 1834.2411, usercpu_time_millis: 49.118, usercpu_time_millis_testing: 2.399, usercpu_time_millis_training: 46.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8705, kappa: 0.6861, kb_relative_information_score: 2828.9632, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.87, predictive_accuracy: 0.8712, prior_entropy: 0.8733, recall: 0.8712, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6675, scimark_benchmark: 1759.2046, usercpu_time_millis: 48.28, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 46.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.912, kappa: 0.7871, kb_relative_information_score: 3571.6155, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9118, predictive_accuracy: 0.9123, prior_entropy: 0.8733, recall: 0.9123, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5622, scimark_benchmark: 1747.3857, usercpu_time_millis: 48.015, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 46.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9115, kappa: 0.7862, kb_relative_information_score: 3496.6735, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9114, predictive_accuracy: 0.9117, prior_entropy: 0.8733, recall: 0.9117, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5693, scimark_benchmark: 1799.2186, usercpu_time_millis: 37.262, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 35.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8949, kappa: 0.7458, kb_relative_information_score: 3167.3027, mean_absolute_error: 0.1783, 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: 0.4299, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6129, scimark_benchmark: 1853.9121, usercpu_time_millis: 33.16, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 32.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.887, kappa: 0.7256, kb_relative_information_score: 2887.985, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8866, predictive_accuracy: 0.8879, prior_entropy: 0.8733, recall: 0.8879, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6465, scimark_benchmark: 1837.8654, usercpu_time_millis: 38.793, usercpu_time_millis_testing: 2.609, usercpu_time_millis_training: 36.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7862, kappa: 0.4762, kb_relative_information_score: 1741.9378, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7842, predictive_accuracy: 0.7902, prior_entropy: 0.8733, recall: 0.7902, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7988, scimark_benchmark: 1764.7515, usercpu_time_millis: 31.279, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 30.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.878, kappa: 0.704, kb_relative_information_score: 2796.4836, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8775, predictive_accuracy: 0.8788, prior_entropy: 0.8733, recall: 0.8788, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6619, scimark_benchmark: 1807.5911, usercpu_time_millis: 24.769, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 23.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.793, kappa: 0.492, kb_relative_information_score: 1829.0896, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7913, predictive_accuracy: 0.7976, prior_entropy: 0.8733, recall: 0.7976, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7999, scimark_benchmark: 1805.2781, usercpu_time_millis: 18.608, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 18.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8877, kappa: 0.7285, kb_relative_information_score: 3154.5178, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.888, prior_entropy: 0.8733, recall: 0.888, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6237, scimark_benchmark: 1740.1406, usercpu_time_millis: 24.37, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 23.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.787, kappa: 0.4832, kb_relative_information_score: 1536.8738, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7859, predictive_accuracy: 0.7883, prior_entropy: 0.8733, recall: 0.7883, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.8204, scimark_benchmark: 1782.0941, usercpu_time_millis: 16.076, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 14.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8109, kappa: 0.536, kb_relative_information_score: 1788.1861, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8097, predictive_accuracy: 0.815, prior_entropy: 0.8733, recall: 0.815, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7777, scimark_benchmark: 1801.1574, usercpu_time_millis: 7.819, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 7.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9003, kappa: 0.7582, kb_relative_information_score: 3222.1578, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9, predictive_accuracy: 0.901, prior_entropy: 0.8733, recall: 0.901, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.6052, scimark_benchmark: 1804.0049, usercpu_time_millis: 2.649, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 2.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8201, kappa: 0.5605, kb_relative_information_score: 1942.0058, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8188, predictive_accuracy: 0.8227, prior_entropy: 0.8733, recall: 0.8227, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7642, scimark_benchmark: 1828.1532, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8444, kappa: 0.6193, kb_relative_information_score: 2308.9195, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8436, predictive_accuracy: 0.847, prior_entropy: 0.8733, recall: 0.847, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7305, scimark_benchmark: 1830.8796, usercpu_time_millis: 8.078, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 7.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.585, kb_relative_information_score: -4.7101, mean_absolute_error: 0.4149, 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: 1.0003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1834.8742, usercpu_time_millis: 1.618, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8996, kappa: 0.757, kb_relative_information_score: 3230.4771, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8994, predictive_accuracy: 0.9001, prior_entropy: 0.8733, recall: 0.9001, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.6029, scimark_benchmark: 1765.7179, usercpu_time_millis: 2.249, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.585, kb_relative_information_score: -1.8179, mean_absolute_error: 0.4148, 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: 1.0001, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1803.7327, usercpu_time_millis: 3.078, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 2.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9111, kappa: 0.7852, kb_relative_information_score: 3378.1218, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.911, predictive_accuracy: 0.9114, prior_entropy: 0.8733, recall: 0.9114, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5852, scimark_benchmark: 1837.8654, usercpu_time_millis: 3.113, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 2.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8953, kappa: 0.7469, kb_relative_information_score: 3262.6512, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8951, predictive_accuracy: 0.8956, prior_entropy: 0.8733, recall: 0.8956, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.6081, scimark_benchmark: 1023.2706, usercpu_time_millis: 142.486, usercpu_time_millis_testing: 3.838, usercpu_time_millis_training: 138.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9124, kappa: 0.788, kb_relative_information_score: 3619.3624, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9122, predictive_accuracy: 0.9127, prior_entropy: 0.8733, recall: 0.9127, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5699, scimark_benchmark: 1733.3606, usercpu_time_millis: 66.032, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 64.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8478, kappa: 0.6286, kb_relative_information_score: 2198.6235, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.847, predictive_accuracy: 0.8499, prior_entropy: 0.8733, recall: 0.8499, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.739, scimark_benchmark: 1730.7262, usercpu_time_millis: 34.225, usercpu_time_millis_testing: 1.695, usercpu_time_millis_training: 32.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8667, kappa: 0.6754, kb_relative_information_score: 2436.5139, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8662, predictive_accuracy: 0.8682, prior_entropy: 0.8733, recall: 0.8682, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6976, scimark_benchmark: 1801.2122, usercpu_time_millis: 41.426, usercpu_time_millis_testing: 2.686, usercpu_time_millis_training: 38.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8645, kappa: 0.6701, kb_relative_information_score: 2423.9702, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8639, predictive_accuracy: 0.866, prior_entropy: 0.8733, recall: 0.866, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.319, root_relative_squared_error: 0.7005, scimark_benchmark: 1795.5159, usercpu_time_millis: 19.727, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 17.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.7971, kappa: 0.5038, kb_relative_information_score: 1794.7569, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7955, predictive_accuracy: 0.8005, prior_entropy: 0.8733, recall: 0.8005, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7898, scimark_benchmark: 1778.2927, usercpu_time_millis: 34.272, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 32.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7774, kappa: 0.4587, kb_relative_information_score: 1043.7835, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7759, predictive_accuracy: 0.7794, prior_entropy: 0.8733, recall: 0.7794, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8699, scimark_benchmark: 1763.527, usercpu_time_millis: 13.031, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 11.641,
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: 0.859, f_measure: 0.7828, kappa: 0.4696, kb_relative_information_score: 1437.0096, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7809, predictive_accuracy: 0.7859, prior_entropy: 0.8733, recall: 0.7859, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.8266, scimark_benchmark: 1848.916, usercpu_time_millis: 10.695, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 9.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8987, kappa: 0.7551, kb_relative_information_score: 3264.8796, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8985, predictive_accuracy: 0.899, prior_entropy: 0.8733, recall: 0.899, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.6046, scimark_benchmark: 1804.7859, usercpu_time_millis: 105.09, usercpu_time_millis_testing: 2.741, usercpu_time_millis_training: 102.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7371, kappa: 0.3367, kb_relative_information_score: 1138.9622, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7559, predictive_accuracy: 0.7661, prior_entropy: 0.8733, recall: 0.7661, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8499, scimark_benchmark: 1682.7563, usercpu_time_millis: 1.823, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9064, kappa: 0.7734, kb_relative_information_score: 3212.4282, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9061, predictive_accuracy: 0.9067, prior_entropy: 0.8733, recall: 0.9067, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5958, scimark_benchmark: 1792.6963, usercpu_time_millis: 35.678, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 33.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9126, kappa: 0.7885, kb_relative_information_score: 3363.4822, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9124, predictive_accuracy: 0.913, prior_entropy: 0.8733, recall: 0.913, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.577, scimark_benchmark: 1811.9424, usercpu_time_millis: 23.525, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 22.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8517, kappa: 0.6384, kb_relative_information_score: 2443.4171, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.851, predictive_accuracy: 0.8536, prior_entropy: 0.8733, recall: 0.8536, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.7132, scimark_benchmark: 1731.3045, usercpu_time_millis: 33.115, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 32.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8567, kappa: 0.651, kb_relative_information_score: 2395.7247, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.856, predictive_accuracy: 0.8583, prior_entropy: 0.8733, recall: 0.8583, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.714, scimark_benchmark: 1711.2869, usercpu_time_millis: 78.573, usercpu_time_millis_testing: 3.528, usercpu_time_millis_training: 75.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7663, kappa: 0.4207, kb_relative_information_score: 987.8061, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7648, predictive_accuracy: 0.7754, prior_entropy: 0.8733, recall: 0.7754, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8738, scimark_benchmark: 1796.6267, usercpu_time_millis: 6.288, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 5.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.871, kappa: 0.6869, kb_relative_information_score: 2681.2619, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8705, predictive_accuracy: 0.8719, prior_entropy: 0.8733, recall: 0.8719, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6786, scimark_benchmark: 1766.3115, usercpu_time_millis: 42.61, usercpu_time_millis_testing: 2.152, usercpu_time_millis_training: 40.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.788, kappa: 0.4828, kb_relative_information_score: 1499.8866, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7863, predictive_accuracy: 0.7907, prior_entropy: 0.8733, recall: 0.7907, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.8193, scimark_benchmark: 1790.2787, usercpu_time_millis: 8.239, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 7.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8889, kappa: 0.7313, kb_relative_information_score: 3134.1035, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8886, predictive_accuracy: 0.8893, prior_entropy: 0.8733, recall: 0.8893, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.6247, scimark_benchmark: 1034.1633, usercpu_time_millis: 71.065, usercpu_time_millis_testing: 1.98, usercpu_time_millis_training: 69.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9076, kappa: 0.7767, kb_relative_information_score: 3403.9976, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9074, predictive_accuracy: 0.9078, prior_entropy: 0.8733, recall: 0.9078, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5832, scimark_benchmark: 1791.6269, usercpu_time_millis: 123.465, usercpu_time_millis_testing: 3.206, usercpu_time_millis_training: 120.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.774, kappa: 0.4537, kb_relative_information_score: 1552.2024, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7735, predictive_accuracy: 0.7746, prior_entropy: 0.8733, recall: 0.7746, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.8271, scimark_benchmark: 1844.7928, usercpu_time_millis: 32.377, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 31.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8889, kappa: 0.7316, kb_relative_information_score: 3085.5209, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8887, predictive_accuracy: 0.8892, prior_entropy: 0.8733, recall: 0.8892, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.6304, scimark_benchmark: 1806.6352, usercpu_time_millis: 4.356, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 4.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8894, kappa: 0.7318, kb_relative_information_score: 2858.4664, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.889, predictive_accuracy: 0.8901, prior_entropy: 0.8733, recall: 0.8901, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6421, scimark_benchmark: 1792.6963, usercpu_time_millis: 35.883, usercpu_time_millis_testing: 2.3, usercpu_time_millis_training: 33.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8741, kappa: 0.6954, kb_relative_information_score: 2870.4776, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8738, predictive_accuracy: 0.8745, prior_entropy: 0.8733, recall: 0.8745, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6592, scimark_benchmark: 1787.4775, usercpu_time_millis: 67.99, usercpu_time_millis_testing: 1.865, usercpu_time_millis_training: 66.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8838, kappa: 0.7188, kb_relative_information_score: 3014.6934, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8835, predictive_accuracy: 0.8842, prior_entropy: 0.8733, recall: 0.8842, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6383, scimark_benchmark: 1798.3251, usercpu_time_millis: 55.705, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 54.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.6684, kappa: 0.1746, kb_relative_information_score: 921.0356, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7565, predictive_accuracy: 0.7395, prior_entropy: 0.8733, recall: 0.7395, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8735, scimark_benchmark: 1767.4066, usercpu_time_millis: 10.145, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 8.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8296, kappa: 0.5821, kb_relative_information_score: 2085.0562, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8288, predictive_accuracy: 0.8331, prior_entropy: 0.8733, recall: 0.8331, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7514, scimark_benchmark: 1852.0126, usercpu_time_millis: 47.118, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 45.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.6311, kappa: 0.0934, kb_relative_information_score: 878.3477, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7463, predictive_accuracy: 0.7235, prior_entropy: 0.8733, recall: 0.7235, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8785, scimark_benchmark: 1808.1307, usercpu_time_millis: 8.968, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 7.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8977, kappa: 0.7525, kb_relative_information_score: 3229.2026, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8975, predictive_accuracy: 0.898, prior_entropy: 0.8733, recall: 0.898, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6063, scimark_benchmark: 1815.3907, usercpu_time_millis: 44.218, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 42.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7697, kappa: 0.4547, kb_relative_information_score: 1323.6595, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7751, predictive_accuracy: 0.7661, prior_entropy: 0.8733, recall: 0.7661, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8537, scimark_benchmark: 1786.9184, usercpu_time_millis: 3.501, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8815, kappa: 0.7134, kb_relative_information_score: 3074.801, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8812, predictive_accuracy: 0.8818, prior_entropy: 0.8733, recall: 0.8818, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6346, scimark_benchmark: 1918.1337, usercpu_time_millis: 101.338, usercpu_time_millis_testing: 2.97, usercpu_time_millis_training: 98.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8966, kappa: 0.7499, kb_relative_information_score: 3215.2274, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8964, predictive_accuracy: 0.8969, prior_entropy: 0.8733, recall: 0.8969, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6119, scimark_benchmark: 1680.9672, usercpu_time_millis: 107.548, usercpu_time_millis_testing: 2.361, usercpu_time_millis_training: 105.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8999, kappa: 0.758, kb_relative_information_score: 3266.393, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8997, predictive_accuracy: 0.9003, prior_entropy: 0.8733, recall: 0.9003, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6013, scimark_benchmark: 1857.1082, usercpu_time_millis: 79.399, usercpu_time_millis_testing: 2.882, usercpu_time_millis_training: 76.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8817, kappa: 0.7132, kb_relative_information_score: 2910.1239, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8813, predictive_accuracy: 0.8823, prior_entropy: 0.8733, recall: 0.8823, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.6489, scimark_benchmark: 1182.7279, usercpu_time_millis: 60.348, usercpu_time_millis_testing: 2.141, usercpu_time_millis_training: 58.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9092, kappa: 0.7805, kb_relative_information_score: 3403.7595, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.909, predictive_accuracy: 0.9095, prior_entropy: 0.8733, recall: 0.9095, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5811, scimark_benchmark: 1847.7442, usercpu_time_millis: 59.416, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 57.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8356, kappa: 0.5968, kb_relative_information_score: 2071.4525, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.835, predictive_accuracy: 0.839, prior_entropy: 0.8733, recall: 0.839, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7478, scimark_benchmark: 1185.9388, usercpu_time_millis: 33.493, usercpu_time_millis_testing: 2.217, usercpu_time_millis_training: 31.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8687, kappa: 0.6805, kb_relative_information_score: 2490.2711, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8682, predictive_accuracy: 0.8701, prior_entropy: 0.8733, recall: 0.8701, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6909, scimark_benchmark: 1855.0232, usercpu_time_millis: 24.22, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 22.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9131, kappa: 0.7899, kb_relative_information_score: 3538.0636, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9129, predictive_accuracy: 0.9134, prior_entropy: 0.8733, recall: 0.9134, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5615, scimark_benchmark: 1852.4707, usercpu_time_millis: 17.378, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 16.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.783, kappa: 0.4724, kb_relative_information_score: 1674.4674, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7815, predictive_accuracy: 0.785, prior_entropy: 0.8733, recall: 0.785, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.8072, scimark_benchmark: 1777.8477, usercpu_time_millis: 19.708, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 19.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8879, kappa: 0.7284, kb_relative_information_score: 3029.8428, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.8884, prior_entropy: 0.8733, recall: 0.8884, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.6323, scimark_benchmark: 1851.8968, usercpu_time_millis: 17.271, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 16.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.764, kappa: 0.4445, kb_relative_information_score: 1140.5149, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7716, predictive_accuracy: 0.7594, prior_entropy: 0.8733, recall: 0.7594, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8862, scimark_benchmark: 1286.1379, usercpu_time_millis: 10.05, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 9.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8363, kappa: 0.5992, kb_relative_information_score: 2135.1595, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8354, predictive_accuracy: 0.8392, prior_entropy: 0.8733, recall: 0.8392, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.7519, scimark_benchmark: 1855.0232, usercpu_time_millis: 11.065, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 10.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7734, kappa: 0.4568, kb_relative_information_score: 1066.7014, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7749, predictive_accuracy: 0.7722, prior_entropy: 0.8733, recall: 0.7722, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8775, scimark_benchmark: 1853.454, usercpu_time_millis: 8.517, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 7.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.585, kb_relative_information_score: 0.442, 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: 1842.1399, usercpu_time_millis: 5.48, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 4.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.585, kb_relative_information_score: -0.9354, 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: 1850.0015, usercpu_time_millis: 4.964, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 4.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8606, kappa: 0.6606, kb_relative_information_score: 2417.9817, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.86, predictive_accuracy: 0.8621, prior_entropy: 0.8733, recall: 0.8621, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.7015, scimark_benchmark: 1859.2084, usercpu_time_millis: 3.947, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 3.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8377, kappa: 0.6033, kb_relative_information_score: 2136.4374, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8368, predictive_accuracy: 0.8403, prior_entropy: 0.8733, recall: 0.8403, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.7424, scimark_benchmark: 1857.6392, usercpu_time_millis: 1.193, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7775, kappa: 0.4615, kb_relative_information_score: 1222.358, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7767, predictive_accuracy: 0.7783, prior_entropy: 0.8733, recall: 0.7783, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8517, scimark_benchmark: 1852.9259, usercpu_time_millis: 5.077, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 4.728,

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