OpenML
Supervised Classification on yeast

Supervised Classification on yeast

Task 2073 Supervised Classification yeast 1323 runs submitted
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  • at2 study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.5753, kappa: 0.4606, kb_relative_information_score: 182.3121, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6021, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 1.0492, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.9968, scimark_benchmark: 1544.0157, usercpu_time_millis: 1140, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.545, kappa: 0.4315, kb_relative_information_score: 175.201, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5911, predictive_accuracy: 0.5687, prior_entropy: 2.5035, recall: 0.5687, relative_absolute_error: 1.0506, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9985, scimark_benchmark: 1468.4021, usercpu_time_millis: 1120, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.3172, kappa: 0.1711, kb_relative_information_score: 118.2814, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4335, predictive_accuracy: 0.4084, prior_entropy: 2.5035, recall: 0.4084, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0109, scimark_benchmark: 1497.1736, usercpu_time_millis: 1410, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.5654, kappa: 0.4503, kb_relative_information_score: 181.3929, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5927, predictive_accuracy: 0.5809, prior_entropy: 2.5035, recall: 0.5809, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9971, scimark_benchmark: 1570.4158, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.5307, kappa: 0.4148, kb_relative_information_score: 169.3309, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5786, predictive_accuracy: 0.558, prior_entropy: 2.5035, recall: 0.558, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9995, scimark_benchmark: 1439.0429, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.2476, kappa: 0.0767, kb_relative_information_score: 66.3246, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.394, predictive_accuracy: 0.3565, prior_entropy: 2.5035, recall: 0.3565, relative_absolute_error: 1.0707, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2839, root_relative_squared_error: 1.0186, scimark_benchmark: 1444.9908, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.5502, kappa: 0.4329, kb_relative_information_score: 620.1275, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5447, predictive_accuracy: 0.5647, prior_entropy: 2.5035, recall: 0.5647, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8681, scimark_benchmark: 1528.4394, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.5689, kappa: 0.4574, kb_relative_information_score: 623.7303, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5711, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.8615, scimark_benchmark: 1481.7062, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238, scimark_benchmark: 1509.2316, usercpu_time_millis: 3400, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238, scimark_benchmark: 1556.0351, usercpu_time_millis: 2810, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.5922, kappa: 0.4791, kb_relative_information_score: 183.9734, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6015, predictive_accuracy: 0.6018, prior_entropy: 2.5035, recall: 0.6018, relative_absolute_error: 1.0487, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.9963, scimark_benchmark: 1499.0029, usercpu_time_millis: 1200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.5666, kappa: 0.452, kb_relative_information_score: 177.5844, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5969, predictive_accuracy: 0.5836, prior_entropy: 2.5035, recall: 0.5836, relative_absolute_error: 1.05, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.9979, scimark_benchmark: 1488.719, usercpu_time_millis: 1000, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.4004, kappa: 0.2507, kb_relative_information_score: 133.5893, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5316, predictive_accuracy: 0.4562, prior_entropy: 2.5035, recall: 0.4562, relative_absolute_error: 1.0595, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2808, root_relative_squared_error: 1.0074, scimark_benchmark: 1468.8791, usercpu_time_millis: 1420, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.5708, kappa: 0.4573, kb_relative_information_score: 181.9475, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5952, predictive_accuracy: 0.5856, prior_entropy: 2.5035, recall: 0.5856, relative_absolute_error: 1.0494, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9969, scimark_benchmark: 1488.5786, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.5483, kappa: 0.4305, kb_relative_information_score: 171.6728, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.596, predictive_accuracy: 0.5701, prior_entropy: 2.5035, recall: 0.5701, relative_absolute_error: 1.0509, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9988, scimark_benchmark: 1499.7143, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.2502, kappa: 0.0784, kb_relative_information_score: 65.7752, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3989, predictive_accuracy: 0.3578, prior_entropy: 2.5035, recall: 0.3578, relative_absolute_error: 1.0708, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2839, root_relative_squared_error: 1.0187, scimark_benchmark: 1479.6231, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.5405, kappa: 0.4194, kb_relative_information_score: 618.9265, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5351, predictive_accuracy: 0.5553, prior_entropy: 2.5035, recall: 0.5553, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.243, root_relative_squared_error: 0.872, scimark_benchmark: 1385.2295, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.563, kappa: 0.4492, kb_relative_information_score: 619.5093, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5633, predictive_accuracy: 0.5788, prior_entropy: 2.5035, recall: 0.5788, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8661, scimark_benchmark: 1608.5638, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.5613, kappa: 0.4466, kb_relative_information_score: 607.4374, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5628, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.8674, scimark_benchmark: 1600.511, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.5471, kappa: 0.424, kb_relative_information_score: 655.0095, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5413, predictive_accuracy: 0.5586, prior_entropy: 2.5035, recall: 0.5586, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.8795, scimark_benchmark: 1583.7285, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.5622, kappa: 0.4445, kb_relative_information_score: 640.9031, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5584, predictive_accuracy: 0.5741, prior_entropy: 2.5035, recall: 0.5741, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.8759, scimark_benchmark: 1535.1633, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.5522, kappa: 0.4335, kb_relative_information_score: 606.2445, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5526, predictive_accuracy: 0.5667, prior_entropy: 2.5035, recall: 0.5667, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.243, root_relative_squared_error: 0.8719, scimark_benchmark: 1682.7196, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.5447, kappa: 0.4166, kb_relative_information_score: 685.5151, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5449, predictive_accuracy: 0.5492, prior_entropy: 2.5035, recall: 0.5492, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9812, scimark_benchmark: 1773.8929, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538, scimark_benchmark: 1527.97, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.5827, kappa: 0.4705, kb_relative_information_score: 642.1698, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5902, predictive_accuracy: 0.5943, prior_entropy: 2.5035, recall: 0.5943, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8693, scimark_benchmark: 1781.6941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.6103, kappa: 0.5056, kb_relative_information_score: 708.3325, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6108, predictive_accuracy: 0.6206, prior_entropy: 2.5035, recall: 0.6206, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8198, scimark_benchmark: 1891.6767, usercpu_time_millis: 570, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.6115, kappa: 0.5076, kb_relative_information_score: 703.2953, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6121, predictive_accuracy: 0.622, prior_entropy: 2.5035, recall: 0.622, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.6169, kappa: 0.5154, kb_relative_information_score: 699.6805, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6169, predictive_accuracy: 0.628, prior_entropy: 2.5035, recall: 0.628, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.6122, kappa: 0.5094, kb_relative_information_score: 695.2194, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.613, predictive_accuracy: 0.6233, prior_entropy: 2.5035, recall: 0.6233, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.5917, kappa: 0.4786, kb_relative_information_score: 720.7396, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.592, predictive_accuracy: 0.5997, prior_entropy: 2.5035, recall: 0.5997, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.6089, kappa: 0.502, kb_relative_information_score: 717.9831, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6085, predictive_accuracy: 0.6173, prior_entropy: 2.5035, recall: 0.6173, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.229, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.6122, kappa: 0.5066, kb_relative_information_score: 720.6533, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6143, predictive_accuracy: 0.6213, prior_entropy: 2.5035, recall: 0.6213, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.6123, kappa: 0.5067, kb_relative_information_score: 712.3427, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6144, predictive_accuracy: 0.6213, prior_entropy: 2.5035, recall: 0.6213, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.5581, kappa: 0.4392, kb_relative_information_score: 622.0515, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5626, predictive_accuracy: 0.5701, prior_entropy: 2.5035, recall: 0.5701, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.5905, kappa: 0.4746, kb_relative_information_score: 710.5206, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5951, predictive_accuracy: 0.5991, prior_entropy: 2.5035, recall: 0.5991, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.8228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.583, kappa: 0.4726, kb_relative_information_score: 660.5812, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5891, predictive_accuracy: 0.595, prior_entropy: 2.5035, recall: 0.595, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.234, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.5864, kappa: 0.4769, kb_relative_information_score: 660.4566, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5885, predictive_accuracy: 0.5984, prior_entropy: 2.5035, recall: 0.5984, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.4722, kappa: 0.3319, kb_relative_information_score: 273.5747, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4557, predictive_accuracy: 0.5047, prior_entropy: 2.5035, recall: 0.5047, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.259, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.4433, kappa: 0.2918, kb_relative_information_score: 232.5681, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4457, predictive_accuracy: 0.4805, prior_entropy: 2.5035, recall: 0.4805, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.5725, kappa: 0.4524, kb_relative_information_score: 682.1609, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5822, prior_entropy: 2.5035, recall: 0.5822, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.564, kappa: 0.4388, kb_relative_information_score: 707.6052, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5649, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.5252, kappa: 0.388, kb_relative_information_score: 653.8655, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5273, predictive_accuracy: 0.5243, prior_entropy: 2.5035, recall: 0.5243, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3073, root_relative_squared_error: 1.1027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.5646, kappa: 0.4432, kb_relative_information_score: 728.7227, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5606, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8739, scimark_benchmark: 1415.5882, usercpu_time_millis: 240, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.3863, kappa: 0.2335, kb_relative_information_score: 103.5403, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5086, predictive_accuracy: 0.4474, prior_entropy: 2.5035, recall: 0.4474, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2817, root_relative_squared_error: 1.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.5747, kappa: 0.4596, kb_relative_information_score: 182.2442, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6015, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 1.0492, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.2473, kappa: 0.0759, kb_relative_information_score: 65.7279, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3891, predictive_accuracy: 0.3558, prior_entropy: 2.5035, recall: 0.3558, relative_absolute_error: 1.0709, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2839, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.5689, kappa: 0.4574, kb_relative_information_score: 623.7303, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5711, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.5506, kappa: 0.4348, kb_relative_information_score: 600.6527, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5592, predictive_accuracy: 0.5681, prior_entropy: 2.5035, recall: 0.5681, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.5633, kappa: 0.4469, kb_relative_information_score: 656.7194, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5539, predictive_accuracy: 0.5761, prior_entropy: 2.5035, recall: 0.5761, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.5667, kappa: 0.4531, kb_relative_information_score: 639.5135, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5592, predictive_accuracy: 0.5809, prior_entropy: 2.5035, recall: 0.5809, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.5485, kappa: 0.4306, kb_relative_information_score: 601.7, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5509, predictive_accuracy: 0.5647, prior_entropy: 2.5035, recall: 0.5647, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.5584, kappa: 0.4343, kb_relative_information_score: 690.9981, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5563, predictive_accuracy: 0.5633, prior_entropy: 2.5035, recall: 0.5633, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.5449, kappa: 0.4315, kb_relative_information_score: 175.2984, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5911, predictive_accuracy: 0.5687, prior_entropy: 2.5035, recall: 0.5687, relative_absolute_error: 1.0506, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.3171, kappa: 0.1708, kb_relative_information_score: 118.2849, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4356, predictive_accuracy: 0.4084, prior_entropy: 2.5035, recall: 0.4084, relative_absolute_error: 1.063, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.5645, kappa: 0.4496, kb_relative_information_score: 181.349, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5919, predictive_accuracy: 0.5802, prior_entropy: 2.5035, recall: 0.5802, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.5314, kappa: 0.4166, kb_relative_information_score: 169.4909, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5786, predictive_accuracy: 0.5593, prior_entropy: 2.5035, recall: 0.5593, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.5502, kappa: 0.4329, kb_relative_information_score: 620.1275, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5447, predictive_accuracy: 0.5647, prior_entropy: 2.5035, recall: 0.5647, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.5662, kappa: 0.4508, kb_relative_information_score: 627.7775, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5763, predictive_accuracy: 0.5795, prior_entropy: 2.5035, recall: 0.5795, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.5989, kappa: 0.4909, kb_relative_information_score: 705.3379, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5996, predictive_accuracy: 0.6092, prior_entropy: 2.5035, recall: 0.6092, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.5954, kappa: 0.4859, kb_relative_information_score: 699.5981, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5977, predictive_accuracy: 0.6058, prior_entropy: 2.5035, recall: 0.6058, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.6039, kappa: 0.4959, kb_relative_information_score: 699.2431, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6096, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.6039, kappa: 0.4978, kb_relative_information_score: 689.2529, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6065, predictive_accuracy: 0.6146, prior_entropy: 2.5035, recall: 0.6146, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5758, kappa: 0.459, kb_relative_information_score: 709.9996, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.573, predictive_accuracy: 0.5842, prior_entropy: 2.5035, recall: 0.5842, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.5899, kappa: 0.4779, kb_relative_information_score: 707.84, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.59, predictive_accuracy: 0.5991, prior_entropy: 2.5035, recall: 0.5991, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.5908, kappa: 0.4786, kb_relative_information_score: 717.9101, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5911, predictive_accuracy: 0.5997, prior_entropy: 2.5035, recall: 0.5997, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.6057, kappa: 0.4975, kb_relative_information_score: 713.4461, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6055, predictive_accuracy: 0.6146, prior_entropy: 2.5035, recall: 0.6146, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.5652, kappa: 0.4447, kb_relative_information_score: 677.9658, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5636, predictive_accuracy: 0.5721, prior_entropy: 2.5035, recall: 0.5721, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.259, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.3918, kappa: 0.2374, kb_relative_information_score: 104.6882, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.511, predictive_accuracy: 0.4501, prior_entropy: 2.5035, recall: 0.4501, relative_absolute_error: 1.0629, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2817, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.5774, kappa: 0.4629, kb_relative_information_score: 660.8342, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5742, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.4939, kappa: 0.3686, kb_relative_information_score: 284.333, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4723, predictive_accuracy: 0.5297, prior_entropy: 2.5035, recall: 0.5297, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.5656, kappa: 0.4521, kb_relative_information_score: 649.7985, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5575, predictive_accuracy: 0.5788, prior_entropy: 2.5035, recall: 0.5788, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.4799, kappa: 0.3457, kb_relative_information_score: 273.9302, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.457, predictive_accuracy: 0.5135, prior_entropy: 2.5035, recall: 0.5135, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.5834, kappa: 0.4715, kb_relative_information_score: 702.6828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.581, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.574, kappa: 0.4574, kb_relative_information_score: 678.5068, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5713, predictive_accuracy: 0.5822, prior_entropy: 2.5035, recall: 0.5822, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.5046, kappa: 0.3894, kb_relative_information_score: 364.1904, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4825, predictive_accuracy: 0.5431, prior_entropy: 2.5035, recall: 0.5431, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.9003,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.5227, kappa: 0.3856, kb_relative_information_score: 659.0582, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5237, predictive_accuracy: 0.5229, prior_entropy: 2.5035, recall: 0.5229, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.1082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.4006, kappa: 0.2516, kb_relative_information_score: 133.0308, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5322, predictive_accuracy: 0.4569, prior_entropy: 2.5035, recall: 0.4569, relative_absolute_error: 1.0596, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2808, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 172.6681, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.5702, kappa: 0.4564, kb_relative_information_score: 181.9609, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.594, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 1.0494, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.5827, kappa: 0.4705, kb_relative_information_score: 642.1698, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5902, predictive_accuracy: 0.5943, prior_entropy: 2.5035, recall: 0.5943, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.618, kappa: 0.517, kb_relative_information_score: 702.0617, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6221, predictive_accuracy: 0.6294, prior_entropy: 2.5035, recall: 0.6294, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.6133, kappa: 0.5104, kb_relative_information_score: 695.7328, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6155, predictive_accuracy: 0.6247, prior_entropy: 2.5035, recall: 0.6247, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.5942, kappa: 0.4822, kb_relative_information_score: 721.1345, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5942, predictive_accuracy: 0.6024, prior_entropy: 2.5035, recall: 0.6024, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.611, kappa: 0.5066, kb_relative_information_score: 708.4514, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6114, predictive_accuracy: 0.6213, prior_entropy: 2.5035, recall: 0.6213, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.6115, kappa: 0.5076, kb_relative_information_score: 703.7184, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6121, predictive_accuracy: 0.622, prior_entropy: 2.5035, recall: 0.622, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.604, kappa: 0.4969, kb_relative_information_score: 718.6166, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6026, predictive_accuracy: 0.6139, prior_entropy: 2.5035, recall: 0.6139, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.608, kappa: 0.501, kb_relative_information_score: 718.741, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6079, predictive_accuracy: 0.6166, prior_entropy: 2.5035, recall: 0.6166, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.609, kappa: 0.5026, kb_relative_information_score: 717.0457, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6098, predictive_accuracy: 0.6186, prior_entropy: 2.5035, recall: 0.6186, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.243, kappa: 0.072, kb_relative_information_score: 65.2662, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.391, predictive_accuracy: 0.3538, prior_entropy: 2.5035, recall: 0.3538, relative_absolute_error: 1.0709, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2839, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.5758, kappa: 0.4574, kb_relative_information_score: 678.4045, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5807, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.5405, kappa: 0.4194, kb_relative_information_score: 618.9265, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5351, predictive_accuracy: 0.5553, prior_entropy: 2.5035, recall: 0.5553, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.243, root_relative_squared_error: 0.872,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs