OpenML
Supervised Classification on bank32nh

Supervised Classification on bank32nh

Task 3698 Supervised Classification bank32nh 544 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7972, kappa: 0.5181, kb_relative_information_score: 3236.6136, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7962, predictive_accuracy: 0.8016, prior_entropy: 0.8937, recall: 0.8016, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7897, scimark_benchmark: 1838.8826, usercpu_time_millis: 2901.6186, usercpu_time_millis_testing: 561.6036, usercpu_time_millis_training: 2340.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7963, kappa: 0.5103, kb_relative_information_score: 2763.6345, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8006, predictive_accuracy: 0.8059, prior_entropy: 0.8937, recall: 0.8059, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7847, scimark_benchmark: 1838.8826, usercpu_time_millis: 5366.4344, usercpu_time_millis_testing: 483.6031, usercpu_time_millis_training: 4882.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7356, kappa: 0.3772, kb_relative_information_score: 2853.3679, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7337, predictive_accuracy: 0.7382, prior_entropy: 0.8937, recall: 0.7382, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.1058, scimark_benchmark: 1838.8826, usercpu_time_millis: 2932.8188, usercpu_time_millis_testing: 2839.2182, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.6197, kappa: 0.0961, kb_relative_information_score: 609.3663, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6135, predictive_accuracy: 0.6281, prior_entropy: 0.8937, recall: 0.6281, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.318, scimark_benchmark: 1838.8826, usercpu_time_millis: 10358.4664, usercpu_time_millis_testing: 10358.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7909, kappa: 0.4981, kb_relative_information_score: 3570.2131, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7936, predictive_accuracy: 0.7999, prior_entropy: 0.8937, recall: 0.7999, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.8265, scimark_benchmark: 1838.8826, usercpu_time_millis: 171.6011, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7929, kappa: 0.5031, kb_relative_information_score: 3586.6254, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7953, predictive_accuracy: 0.8015, prior_entropy: 0.8937, recall: 0.8015, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.8225, scimark_benchmark: 1838.8826, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 78.0005, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5629, kb_relative_information_score: -0.2656, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4627, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7507, kappa: 0.4031, kb_relative_information_score: 3294.6441, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7495, predictive_accuracy: 0.7598, prior_entropy: 0.8937, recall: 0.7598, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0594, usercpu_time_millis: 30.458, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 30.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.8126, kappa: 0.5526, kb_relative_information_score: 4486.5138, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8133, predictive_accuracy: 0.8182, prior_entropy: 0.8937, recall: 0.8182, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9215, usercpu_time_millis: 95.985, usercpu_time_millis_testing: 2.924, usercpu_time_millis_training: 93.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7768, kappa: 0.465, kb_relative_information_score: 3819.664, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7776, predictive_accuracy: 0.7855, prior_entropy: 0.8937, recall: 0.7855, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4631, root_relative_squared_error: 1.001, usercpu_time_millis: 2.467, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 2.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7806, kappa: 0.4771, kb_relative_information_score: 3842.0582, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7796, predictive_accuracy: 0.7866, prior_entropy: 0.8937, recall: 0.7866, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9984, usercpu_time_millis: 115.765, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 114.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.8015, kappa: 0.5211, kb_relative_information_score: 4377.031, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8101, predictive_accuracy: 0.8129, prior_entropy: 0.8937, recall: 0.8129, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.935, usercpu_time_millis: 11.699, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 11.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.8033, kappa: 0.5261, kb_relative_information_score: 4391.9605, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8101, predictive_accuracy: 0.8136, prior_entropy: 0.8937, recall: 0.8136, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9332, usercpu_time_millis: 3.545, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 3.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5629, kb_relative_information_score: 1863.9028, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.2042, usercpu_time_millis: 3.478, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 3.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7793, kappa: 0.4759, kb_relative_information_score: 3787.3168, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7778, predictive_accuracy: 0.7839, prior_entropy: 0.8937, recall: 0.7839, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0047, usercpu_time_millis: 2.124, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 2.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.8054, kappa: 0.5347, kb_relative_information_score: 4357.1251, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8065, predictive_accuracy: 0.8119, prior_entropy: 0.8937, recall: 0.8119, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.9374, usercpu_time_millis: 241.635, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 240.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.8045, kappa: 0.5327, kb_relative_information_score: 4339.7073, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8055, predictive_accuracy: 0.811, prior_entropy: 0.8937, recall: 0.811, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9396, usercpu_time_millis: 1122.568, usercpu_time_millis_testing: 102.001, usercpu_time_millis_training: 1020.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.8046, kappa: 0.5316, kb_relative_information_score: 4364.5898, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8071, predictive_accuracy: 0.8123, prior_entropy: 0.8937, recall: 0.8123, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9365, usercpu_time_millis: 193.613, usercpu_time_millis_testing: 2.757, usercpu_time_millis_training: 190.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.7992, kappa: 0.518, kb_relative_information_score: 4272.5247, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8023, predictive_accuracy: 0.8077, prior_entropy: 0.8937, recall: 0.8077, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9477, usercpu_time_millis: 155.672, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 154.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.8019, kappa: 0.5263, kb_relative_information_score: 4287.4542, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8028, predictive_accuracy: 0.8085, prior_entropy: 0.8937, recall: 0.8085, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9459, usercpu_time_millis: 2.894, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 2.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.7931, kappa: 0.5005, kb_relative_information_score: 4235.201, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8028, predictive_accuracy: 0.8059, prior_entropy: 0.8937, recall: 0.8059, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9522, usercpu_time_millis: 3.253, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 3.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.811, kappa: 0.5481, kb_relative_information_score: 4469.0961, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8124, predictive_accuracy: 0.8174, prior_entropy: 0.8937, recall: 0.8174, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9236, usercpu_time_millis: 4.461, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 4.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.8138, kappa: 0.5557, kb_relative_information_score: 4508.908, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8145, predictive_accuracy: 0.8193, prior_entropy: 0.8937, recall: 0.8193, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9187, usercpu_time_millis: 18.16, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 17.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7622, kappa: 0.4281, kb_relative_information_score: 3573.3276, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7639, predictive_accuracy: 0.7734, prior_entropy: 0.8937, recall: 0.7734, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0288, usercpu_time_millis: 30.022, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 29.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.76, kappa: 0.4184, kb_relative_information_score: 3695.2517, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7744, predictive_accuracy: 0.7794, prior_entropy: 0.8937, recall: 0.7794, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0151, usercpu_time_millis: 393.624, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 393.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.7566, kappa: 0.4098, kb_relative_information_score: 3827.1287, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7985, predictive_accuracy: 0.7859, prior_entropy: 0.8937, recall: 0.7859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.0001, usercpu_time_millis: 8.536, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 8.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.7211, kappa: 0.3262, kb_relative_information_score: 2864.1776, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7228, predictive_accuracy: 0.7386, prior_entropy: 0.8937, recall: 0.7386, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.105, usercpu_time_millis: 3.247, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 2.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.8036, kappa: 0.536, kb_relative_information_score: 4240.1775, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8023, predictive_accuracy: 0.8062, prior_entropy: 0.8937, recall: 0.8062, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9516, usercpu_time_millis: 2.33, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 2.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.8108, kappa: 0.5541, kb_relative_information_score: 4372.0545, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8097, predictive_accuracy: 0.8126, prior_entropy: 0.8937, recall: 0.8126, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9356, usercpu_time_millis: 17.306, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 17.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.8105, kappa: 0.5527, kb_relative_information_score: 4374.5428, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8094, predictive_accuracy: 0.8127, prior_entropy: 0.8937, recall: 0.8127, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9353, usercpu_time_millis: 210.679, usercpu_time_millis_testing: 17.405, usercpu_time_millis_training: 193.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.793, kappa: 0.5033, kb_relative_information_score: 4148.1124, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7954, predictive_accuracy: 0.8016, prior_entropy: 0.8937, recall: 0.8016, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9626, usercpu_time_millis: 12.003, usercpu_time_millis_testing: 10.458, usercpu_time_millis_training: 1.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.8138, kappa: 0.5557, kb_relative_information_score: 4508.908, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8145, predictive_accuracy: 0.8193, prior_entropy: 0.8937, recall: 0.8193, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9187, usercpu_time_millis: 7.661, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 7.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7825, kappa: 0.473, kb_relative_information_score: 4123.23, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8016, predictive_accuracy: 0.8004, prior_entropy: 0.8937, recall: 0.8004, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9656, usercpu_time_millis: 1186.951, usercpu_time_millis_testing: 204.963, usercpu_time_millis_training: 981.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7954, kappa: 0.5077, kb_relative_information_score: 4225.248, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8002, predictive_accuracy: 0.8054, prior_entropy: 0.8937, recall: 0.8054, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9534, usercpu_time_millis: 138.488, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 138.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.8128, kappa: 0.5529, kb_relative_information_score: 4493.9786, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8137, predictive_accuracy: 0.8186, prior_entropy: 0.8937, recall: 0.8186, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9205, usercpu_time_millis: 20.224, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 20.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.8138, kappa: 0.5557, kb_relative_information_score: 4508.908, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8145, predictive_accuracy: 0.8193, prior_entropy: 0.8937, recall: 0.8193, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9187, usercpu_time_millis: 2.769, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.8136, kappa: 0.5551, kb_relative_information_score: 4506.4198, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8144, predictive_accuracy: 0.8192, prior_entropy: 0.8937, recall: 0.8192, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.919, usercpu_time_millis: 0.751, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.629,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.8044, kappa: 0.5293, kb_relative_information_score: 4401.9135, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8102, predictive_accuracy: 0.8141, prior_entropy: 0.8937, recall: 0.8141, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9319, usercpu_time_millis: 2.442, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 2.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7923, kappa: 0.5075, kb_relative_information_score: 4038.6296, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.791, predictive_accuracy: 0.7963, prior_entropy: 0.8937, recall: 0.7963, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9756, usercpu_time_millis: 29.699, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 29.253,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.6197, kappa: 0.0961, kb_relative_information_score: 609.827, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.6135, predictive_accuracy: 0.6281, prior_entropy: 0.8937, recall: 0.6281, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.3182, usercpu_time_millis: 131, usercpu_time_millis_testing: 21.847, usercpu_time_millis_training: 109.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.8044, kappa: 0.5293, kb_relative_information_score: 4401.9135, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8102, predictive_accuracy: 0.8141, prior_entropy: 0.8937, recall: 0.8141, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9319, usercpu_time_millis: 46.722, usercpu_time_millis_testing: 4.386, usercpu_time_millis_training: 42.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.8051, kappa: 0.5322, kb_relative_information_score: 4389.4723, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8087, predictive_accuracy: 0.8135, prior_entropy: 0.8937, recall: 0.8135, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9335, usercpu_time_millis: 3.513, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 3.393,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.803, kappa: 0.5272, kb_relative_information_score: 4344.6838, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8062, predictive_accuracy: 0.8113, prior_entropy: 0.8937, recall: 0.8113, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9389, usercpu_time_millis: 5.731, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 5.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.8112, kappa: 0.5531, kb_relative_information_score: 4404.4017, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8101, predictive_accuracy: 0.8142, prior_entropy: 0.8937, recall: 0.8142, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9316, usercpu_time_millis: 473.436, usercpu_time_millis_testing: 6.422, usercpu_time_millis_training: 467.014,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7839, kappa: 0.4912, kb_relative_information_score: 3824.6405, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7826, predictive_accuracy: 0.7858, prior_entropy: 0.8937, recall: 0.7858, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4629, root_relative_squared_error: 1.0004, usercpu_time_millis: 5.87, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 5.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8075, kappa: 0.5433, kb_relative_information_score: 4342.1956, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8065, predictive_accuracy: 0.8112, prior_entropy: 0.8937, recall: 0.8112, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9393, usercpu_time_millis: 54.82, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 53.982,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8056, kappa: 0.5361, kb_relative_information_score: 4347.1721, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.806, predictive_accuracy: 0.8114, prior_entropy: 0.8937, recall: 0.8114, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9386, usercpu_time_millis: 275.693, usercpu_time_millis_testing: 2.678, usercpu_time_millis_training: 273.015,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8097, kappa: 0.5472, kb_relative_information_score: 4404.4017, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8093, predictive_accuracy: 0.8142, prior_entropy: 0.8937, recall: 0.8142, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9316, scimark_benchmark: 904.6764, usercpu_time_millis: 45940, usercpu_time_millis_testing: 12280, usercpu_time_millis_training: 33660,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7858, kappa: 0.4833, kb_relative_information_score: 2805.4651, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7933, predictive_accuracy: 0.7983, prior_entropy: 0.8937, recall: 0.7983, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7931, scimark_benchmark: 941.3847, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7963, kappa: 0.5103, kb_relative_information_score: 2763.6345, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8006, predictive_accuracy: 0.8059, prior_entropy: 0.8937, recall: 0.8059, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7847, scimark_benchmark: 974.2014, usercpu_time_millis: 11500, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 10660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7943, kappa: 0.5128, kb_relative_information_score: 3031.0609, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.793, predictive_accuracy: 0.7979, prior_entropy: 0.8937, recall: 0.7979, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8165, scimark_benchmark: 819.5729, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7832, kappa: 0.4832, kb_relative_information_score: 1808.7846, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7823, predictive_accuracy: 0.7892, prior_entropy: 0.8937, recall: 0.7892, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8328, scimark_benchmark: 901.6243, usercpu_time_millis: 2840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8097, kappa: 0.5472, kb_relative_information_score: 4404.4017, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8093, predictive_accuracy: 0.8142, prior_entropy: 0.8937, recall: 0.8142, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9316, scimark_benchmark: 937.5683, usercpu_time_millis: 52970, usercpu_time_millis_testing: 20740, usercpu_time_millis_training: 32230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.8097, kappa: 0.5472, kb_relative_information_score: 4404.4017, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8093, predictive_accuracy: 0.8142, prior_entropy: 0.8937, recall: 0.8142, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9316, scimark_benchmark: 934.5964, usercpu_time_millis: 39320, usercpu_time_millis_testing: 15320, usercpu_time_millis_training: 24000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.788, kappa: 0.489, kb_relative_information_score: 2830.1883, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7946, predictive_accuracy: 0.7998, prior_entropy: 0.8937, recall: 0.7998, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7921, scimark_benchmark: 903.2737, usercpu_time_millis: 270, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7894, kappa: 0.4987, kb_relative_information_score: 3041.1974, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7885, predictive_accuracy: 0.7947, prior_entropy: 0.8937, recall: 0.7947, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.8016, scimark_benchmark: 903.2737, usercpu_time_millis: 3120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8152, kappa: 0.5626, kb_relative_information_score: 3810.449, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8141, predictive_accuracy: 0.818, prior_entropy: 0.8937, recall: 0.818, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.765, scimark_benchmark: 919.3788, usercpu_time_millis: 683540, usercpu_time_millis_testing: 17020, usercpu_time_millis_training: 666520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.788, kappa: 0.489, kb_relative_information_score: 2830.1883, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7946, predictive_accuracy: 0.7998, prior_entropy: 0.8937, recall: 0.7998, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7921, scimark_benchmark: 932.438, usercpu_time_millis: 250, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7856, kappa: 0.4828, kb_relative_information_score: 2803.1735, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7932, predictive_accuracy: 0.7982, prior_entropy: 0.8937, recall: 0.7982, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7932, scimark_benchmark: 941.3057, usercpu_time_millis: 1780, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7963, kappa: 0.5103, kb_relative_information_score: 2763.6345, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8006, predictive_accuracy: 0.8059, prior_entropy: 0.8937, recall: 0.8059, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7847, scimark_benchmark: 936.9595, usercpu_time_millis: 9060, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 8140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8037, kappa: 0.5297, kb_relative_information_score: 2974.0041, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8058, predictive_accuracy: 0.8112, prior_entropy: 0.8937, recall: 0.8112, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7757, scimark_benchmark: 935.5664, usercpu_time_millis: 266130, usercpu_time_millis_testing: 53410, usercpu_time_millis_training: 212720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.804, kappa: 0.5304, kb_relative_information_score: 2972.7953, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8061, predictive_accuracy: 0.8114, prior_entropy: 0.8937, recall: 0.8114, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.777, scimark_benchmark: 938.988, usercpu_time_millis: 122450, usercpu_time_millis_testing: 30620, usercpu_time_millis_training: 91830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8045, kappa: 0.5319, kb_relative_information_score: 3001.0654, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8064, predictive_accuracy: 0.8118, prior_entropy: 0.8937, recall: 0.8118, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7767, scimark_benchmark: 945.2015, usercpu_time_millis: 58100, usercpu_time_millis_testing: 6540, usercpu_time_millis_training: 51560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8025, kappa: 0.5273, kb_relative_information_score: 2996.0442, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.804, predictive_accuracy: 0.8096, prior_entropy: 0.8937, recall: 0.8096, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7836, scimark_benchmark: 932.4744, usercpu_time_millis: 25990, usercpu_time_millis_testing: 2720, usercpu_time_millis_training: 23270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7968, kappa: 0.5149, kb_relative_information_score: 2961.8104, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7969, predictive_accuracy: 0.803, prior_entropy: 0.8937, recall: 0.803, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7952, scimark_benchmark: 936.7184, usercpu_time_millis: 14490, usercpu_time_millis_testing: 1420, usercpu_time_millis_training: 13070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8002, kappa: 0.5231, kb_relative_information_score: 3437.8025, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8003, predictive_accuracy: 0.8062, prior_entropy: 0.8937, recall: 0.8062, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7918, scimark_benchmark: 926.5859, usercpu_time_millis: 2050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8002, kappa: 0.5231, kb_relative_information_score: 3437.8025, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8003, predictive_accuracy: 0.8062, prior_entropy: 0.8937, recall: 0.8062, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7918, scimark_benchmark: 926.5859, usercpu_time_millis: 1920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8002, kappa: 0.5231, kb_relative_information_score: 3437.8025, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8003, predictive_accuracy: 0.8062, prior_entropy: 0.8937, recall: 0.8062, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7918, scimark_benchmark: 936.7184, usercpu_time_millis: 1800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.796, kappa: 0.5126, kb_relative_information_score: 3377.9661, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7963, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7943, scimark_benchmark: 926.5859, usercpu_time_millis: 1940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7908, kappa: 0.4995, kb_relative_information_score: 3156.034, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7915, predictive_accuracy: 0.7981, prior_entropy: 0.8937, recall: 0.7981, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.8029, scimark_benchmark: 929.0296, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7811, kappa: 0.4767, kb_relative_information_score: 2978.5567, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.781, predictive_accuracy: 0.7885, prior_entropy: 0.8937, recall: 0.7885, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.8288, scimark_benchmark: 936.1714, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7963, kappa: 0.5112, kb_relative_information_score: 4085.498, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7988, predictive_accuracy: 0.8047, prior_entropy: 0.8937, recall: 0.8047, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8785, scimark_benchmark: 926.5859, usercpu_time_millis: 18580, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 18520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7899, kappa: 0.4948, kb_relative_information_score: 4005.3283, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7939, predictive_accuracy: 0.7999, prior_entropy: 0.8937, recall: 0.7999, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8887, scimark_benchmark: 935.6052, usercpu_time_millis: 8850, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7821, kappa: 0.4764, kb_relative_information_score: 3847.794, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7848, predictive_accuracy: 0.792, prior_entropy: 0.8937, recall: 0.792, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9021, scimark_benchmark: 940.0055, usercpu_time_millis: 4400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7697, kappa: 0.4437, kb_relative_information_score: 3635.6035, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7776, predictive_accuracy: 0.7844, prior_entropy: 0.8937, recall: 0.7844, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9229, scimark_benchmark: 935.6052, usercpu_time_millis: 2180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7412, kappa: 0.3723, kb_relative_information_score: 3378.899, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7567, predictive_accuracy: 0.7644, prior_entropy: 0.8937, recall: 0.7644, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9434, scimark_benchmark: 935.6052, usercpu_time_millis: 1090, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5629, kb_relative_information_score: 1863.9028, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.4755, predictive_accuracy: 0.6896, prior_entropy: 0.8937, recall: 0.6896, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.2042, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7579, kappa: 0.4335, kb_relative_information_score: 3074.2751, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7575, predictive_accuracy: 0.7583, prior_entropy: 0.8937, recall: 0.7583, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0185, scimark_benchmark: 942.6192, usercpu_time_millis: 980, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7743, kappa: 0.463, kb_relative_information_score: 2525.0422, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7727, predictive_accuracy: 0.7797, prior_entropy: 0.8937, recall: 0.7797, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.8373, scimark_benchmark: 924.4107, usercpu_time_millis: 120360, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.7353, kappa: 0.3585, kb_relative_information_score: 1412.3183, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.7456, predictive_accuracy: 0.7568, prior_entropy: 0.8937, recall: 0.7568, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.9089, scimark_benchmark: 931.7994, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,

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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From your own software

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

OpenML APIs