OpenML
Martijn Post
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Martijn's runs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.5919, kappa: 0.0954, kb_relative_information_score: 4240.9522, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7904, predictive_accuracy: 0.6953, prior_entropy: 0.9135, recall: 0.6953, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6473, kappa: 0.0001, kb_relative_information_score: 1104.2053, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.6273, predictive_accuracy: 0.747, prior_entropy: 0.8085, recall: 0.747, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.503, root_relative_squared_error: 1.1644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.8281, kappa: 0.5105, kb_relative_information_score: 18303.215, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8274, predictive_accuracy: 0.8365, prior_entropy: 0.7951, recall: 0.8365, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.8265, kappa: 0.5051, kb_relative_information_score: 18201.3298, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8262, predictive_accuracy: 0.8356, prior_entropy: 0.7951, recall: 0.8356, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.3624, kappa: -0.0264, kb_relative_information_score: -1.4821, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.4615, predictive_accuracy: 0.4615, prior_entropy: 0.9973, recall: 0.4615, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.8813, kb_relative_information_score: 29.1842, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.3601, kb_relative_information_score: 3.5213, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4989, number_of_instances: 546, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8639, kappa: 0.7288, kb_relative_information_score: 71812, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.5, number_of_instances: 98528, precision: 0.8702, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5076, kappa: 0.0088, kb_relative_information_score: 2.5791, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.507, predictive_accuracy: 0.5103, prior_entropy: 0.9963, recall: 0.5103, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6998, root_relative_squared_error: 1.4032, scimark_benchmark: 1961.0876, usercpu_time_millis: 15562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6902, kappa: 0.3816, kb_relative_information_score: 3129.5543, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6925, predictive_accuracy: 0.691, prior_entropy: 1, recall: 0.691, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1117, scimark_benchmark: 1961.0876, usercpu_time_millis: 5721578.125, usercpu_time_millis_testing: 4312.5, usercpu_time_millis_training: 5717265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.7349, kb_relative_information_score: 45.9956, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2998, number_of_instances: 421, precision: 0.6677, predictive_accuracy: 0.8171, prior_entropy: 0.6896, recall: 0.8171, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.3866, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.1258, scimark_benchmark: 1586.7278, usercpu_time_millis: 1472656.25, usercpu_time_millis_testing: 87656.25, usercpu_time_millis_training: 1385000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5131, kappa: -0.0011, kb_relative_information_score: 28.5974, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4729, number_of_instances: 201, precision: 0.5264, predictive_accuracy: 0.592, prior_entropy: 0.961, recall: 0.592, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4861, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.2502, scimark_benchmark: 1586.7278, usercpu_time_millis: 616031.25, usercpu_time_millis_testing: 40187.5, usercpu_time_millis_training: 575843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0394, kb_relative_information_score: -1015.6031, mean_absolute_error: 0.6728, mean_prior_absolute_error: 0.2571, number_of_instances: 405, precision: 0.0227, predictive_accuracy: 0.1506, prior_entropy: 0.6157, recall: 0.1506, relative_absolute_error: 2.6174, root_mean_prior_squared_error: 0.3577, root_mean_squared_error: 0.7391, root_relative_squared_error: 2.0664, scimark_benchmark: 1586.7278, usercpu_time_millis: 1245078.125, usercpu_time_millis_testing: 81359.375, usercpu_time_millis_training: 1163718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.667, kappa: -0.0007, kb_relative_information_score: -251.7034, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.2794, number_of_instances: 413, precision: 0.7215, predictive_accuracy: 0.6295, prior_entropy: 0.6547, recall: 0.6295, relative_absolute_error: 1.326, root_mean_prior_squared_error: 0.373, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.6316, scimark_benchmark: 1586.7278, usercpu_time_millis: 1263875, usercpu_time_millis_testing: 82953.125, usercpu_time_millis_training: 1180921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 292.8809, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4088, number_of_instances: 294, precision: 1, predictive_accuracy: 1, prior_entropy: 0.865, recall: 1, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0023, scimark_benchmark: 1586.7278, usercpu_time_millis: 781.25, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7855, kappa: 0.5221, kb_relative_information_score: 7353.2742, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7866, predictive_accuracy: 0.7905, prior_entropy: 0.9355, recall: 0.7905, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.8086, scimark_benchmark: 1586.7278, usercpu_time_millis: 49859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 49843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.841, kappa: 0.5499, kb_relative_information_score: 17271.8986, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3656, number_of_instances: 32561, precision: 0.8407, predictive_accuracy: 0.848, prior_entropy: 0.7964, recall: 0.848, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4276, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8906, scimark_benchmark: 1586.7278, usercpu_time_millis: 555578.125, usercpu_time_millis_testing: 906.25, usercpu_time_millis_training: 554671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6583.3332, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0122, root_relative_squared_error: 0.0337, scimark_benchmark: 1586.7278, usercpu_time_millis: 301156.25, usercpu_time_millis_testing: 1093.75, usercpu_time_millis_training: 300062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5114, kappa: -0.0101, kb_relative_information_score: -3.4937, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.54, predictive_accuracy: 0.5, prior_entropy: 0.9383, recall: 0.5, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5714, root_relative_squared_error: 1.1979, scimark_benchmark: 1586.7278, usercpu_time_millis: 156296.875, usercpu_time_millis_testing: 6562.5, usercpu_time_millis_training: 149734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.6998, kappa: 0.3367, kb_relative_information_score: 33.0005, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4546, number_of_instances: 72, precision: 0.8192, predictive_accuracy: 0.75, prior_entropy: 0.9353, recall: 0.75, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0062, scimark_benchmark: 1586.7278, usercpu_time_millis: 134156.25, usercpu_time_millis_testing: 6875, usercpu_time_millis_training: 127281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9329, kappa: 0.8662, kb_relative_information_score: 37.696, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.941, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.4863, scimark_benchmark: 1586.7278, usercpu_time_millis: 51171.875, usercpu_time_millis_testing: 1546.875, usercpu_time_millis_training: 49625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.8688, kappa: 0.0616, kb_relative_information_score: -11.9624, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8557, predictive_accuracy: 0.8846, prior_entropy: 0.4395, recall: 0.8846, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.1359, scimark_benchmark: 1586.7278, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7298, kappa: 0.4605, kb_relative_information_score: 100.5513, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7316, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8695, scimark_benchmark: 1586.7278, usercpu_time_millis: 671.875, usercpu_time_millis_training: 671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.9931, kappa: -0.0021, kb_relative_information_score: -3789.3819, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0084, number_of_instances: 5589, precision: 0.9918, predictive_accuracy: 0.9945, prior_entropy: 0.0399, recall: 0.9945, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.064, root_mean_squared_error: 0.0714, root_relative_squared_error: 1.1156, scimark_benchmark: 1586.7278, usercpu_time_millis: 37046.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 37015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: -2.3031, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9787, scimark_benchmark: 1586.7278, usercpu_time_millis: 4734.375, usercpu_time_millis_training: 4734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.8187, kappa: 0.2103, kb_relative_information_score: 508.4468, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8344, predictive_accuracy: 0.8578, prior_entropy: 0.622, recall: 0.8578, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.9509, scimark_benchmark: 1586.7278, usercpu_time_millis: 9000, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 8984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.729, kappa: 0.4387, kb_relative_information_score: 63.2176, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7288, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0257, scimark_benchmark: 1586.7278, usercpu_time_millis: 2203.125, usercpu_time_millis_training: 2203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.8859, kappa: 0.2788, kb_relative_information_score: 37.1515, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8795, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3088, root_relative_squared_error: 1.0586, scimark_benchmark: 1586.7278, usercpu_time_millis: 3156.25, usercpu_time_millis_training: 3156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.8494, kappa: 0.3962, kb_relative_information_score: 18.7716, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2577, number_of_instances: 101, precision: 0.8474, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3623, root_relative_squared_error: 1.0185, scimark_benchmark: 1586.7278, usercpu_time_millis: 546.875, usercpu_time_millis_training: 546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7778, kappa: 0.3571, kb_relative_information_score: 9.5898, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3538, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.7897, recall: 0.7778, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.038, scimark_benchmark: 1586.7278, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.8048, kappa: 0.3337, kb_relative_information_score: 25.2364, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7993, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0946, scimark_benchmark: 1586.7278, usercpu_time_millis: 515.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.8776, kappa: 0.0641, kb_relative_information_score: -9.991, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8713, predictive_accuracy: 0.8843, prior_entropy: 0.4067, recall: 0.8843, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.2333, scimark_benchmark: 1586.7278, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.9929, kappa: 0.4142, kb_relative_information_score: 2631.0872, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.8969, scimark_benchmark: 1586.7278, usercpu_time_millis: 60359.375, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 60281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.6871, kappa: 0.262, kb_relative_information_score: 44.9922, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6884, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.135, scimark_benchmark: 1586.7278, usercpu_time_millis: 1046.875, usercpu_time_millis_training: 1046.875,
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