Task
Supervised Classification on ipums_la_99-small

Supervised Classification on ipums_la_99-small

Task 4218 Supervised Classification ipums_la_99-small 130 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

130 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, build_cpu_time: 2046.7202, build_memory: 2072085230.0479, f_measure: 0.7505, kappa: 0.5548, kb_relative_information_score: 49639.0688, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7367, predictive_accuracy: 0.786, prior_entropy: 1.7594, recall: 0.786, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6857, scimark_benchmark: 949.0699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, build_cpu_time: 8.497, build_memory: 3379585605.5662, f_measure: 0.7938, kappa: 0.6383, kb_relative_information_score: 56461.4664, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7991, predictive_accuracy: 0.8034, prior_entropy: 1.7594, recall: 0.8034, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6648, scimark_benchmark: 938.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.792, kappa: 0.6352, kb_relative_information_score: 56366.427, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.797, predictive_accuracy: 0.8017, prior_entropy: 1.7594, recall: 0.8017, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 4038.4918, build_memory: 2783066786.9899, f_measure: 0.7506, kappa: 0.5552, kb_relative_information_score: 49735.4611, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7373, predictive_accuracy: 0.7861, prior_entropy: 1.7594, recall: 0.7861, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6847, scimark_benchmark: 943.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, build_cpu_time: 18.7007, build_memory: 2405856443.6902, f_measure: 0.7935, kappa: 0.6381, kb_relative_information_score: 56484.7093, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7989, predictive_accuracy: 0.8033, prior_entropy: 1.7594, recall: 0.8033, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.6643, scimark_benchmark: 923.1137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.5472, kappa: 0.0752, kb_relative_information_score: 20004.7717, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5591, predictive_accuracy: 0.6639, prior_entropy: 1.7594, recall: 0.6639, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3099, root_relative_squared_error: 1.1105, scimark_benchmark: 1338.9438, usercpu_time_millis: 53480, usercpu_time_millis_testing: 10190, usercpu_time_millis_training: 43290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.5667, kappa: 0.1253, kb_relative_information_score: 29092.1074, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5613, predictive_accuracy: 0.675, prior_entropy: 1.7594, recall: 0.675, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.8161, scimark_benchmark: 1345.1461, usercpu_time_millis: 12760, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 11790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.815, kappa: 0.6732, kb_relative_information_score: -2207.9663, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8132, predictive_accuracy: 0.8219, prior_entropy: 1.7594, recall: 0.8219, relative_absolute_error: 1.3351, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3076, root_relative_squared_error: 1.1023, scimark_benchmark: 1342.4239, usercpu_time_millis: 8250350, usercpu_time_millis_testing: 5127440, usercpu_time_millis_training: 3122910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8131, kappa: 0.6582, kb_relative_information_score: 58803.7336, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8137, predictive_accuracy: 0.8137, prior_entropy: 1.7594, recall: 0.8137, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.6515, scimark_benchmark: 1313.2657, usercpu_time_millis: 7280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8167, kappa: 0.6747, kb_relative_information_score: 59915.7038, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8225, predictive_accuracy: 0.8225, prior_entropy: 1.7594, recall: 0.8225, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6279, scimark_benchmark: 1227.9507, usercpu_time_millis: 527090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 527070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.5982, kappa: 0.2243, kb_relative_information_score: 12644.237, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5701, predictive_accuracy: 0.6548, prior_entropy: 1.7594, recall: 0.6548, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0339, scimark_benchmark: 1340.1351, usercpu_time_millis: 1130, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8051, kappa: 0.6494, kb_relative_information_score: 55195.712, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8097, predictive_accuracy: 0.8089, prior_entropy: 1.7594, recall: 0.8089, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6865, scimark_benchmark: 1059.8591, usercpu_time_millis: 2076930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2076900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.5667, kappa: 0.1253, kb_relative_information_score: 29092.1074, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5613, predictive_accuracy: 0.675, prior_entropy: 1.7594, recall: 0.675, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.8161, scimark_benchmark: 1278.6629, usercpu_time_millis: 13900, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 12800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5119, kappa: 0.0044, kb_relative_information_score: 4355.4082, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.46, predictive_accuracy: 0.5991, prior_entropy: 1.7594, recall: 0.5991, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0518, scimark_benchmark: 938.0414, usercpu_time_millis: 31600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 31570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5199, kb_relative_information_score: 0.2053, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2791, root_relative_squared_error: 1, scimark_benchmark: 1418.5826, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7861, kappa: 0.6072, kb_relative_information_score: 44866.4504, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7891, predictive_accuracy: 0.7866, prior_entropy: 1.7594, recall: 0.7866, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.8849, scimark_benchmark: 1336.9753, usercpu_time_millis: 21430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 21420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 933.3136, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8109, kappa: 0.6598, kb_relative_information_score: 59103.9998, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8131, predictive_accuracy: 0.8146, prior_entropy: 1.7594, recall: 0.8146, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.6346, scimark_benchmark: 1280.6952, usercpu_time_millis: 1252720, usercpu_time_millis_testing: 10460, usercpu_time_millis_training: 1242260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 1372.2145, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 1297.6356, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7824, kappa: 0.6238, kb_relative_information_score: 55948.5905, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7915, predictive_accuracy: 0.795, prior_entropy: 1.7594, recall: 0.795, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6848, scimark_benchmark: 1418.5826, usercpu_time_millis: 4160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.549, kappa: 0.0937, kb_relative_information_score: 18468.2771, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5021, predictive_accuracy: 0.6484, prior_entropy: 1.7594, recall: 0.6484, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.317, root_relative_squared_error: 1.1358, scimark_benchmark: 1351.788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7008, kappa: 0.4567, kb_relative_information_score: 32434.4843, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6803, predictive_accuracy: 0.7273, prior_entropy: 1.7594, recall: 0.7273, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2791, root_relative_squared_error: 1.0002, scimark_benchmark: 1339.7143, usercpu_time_millis: 78490, usercpu_time_millis_testing: 5130, usercpu_time_millis_training: 73360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5199, kb_relative_information_score: 27.9416, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2791, root_relative_squared_error: 1, scimark_benchmark: 1313.5726, usercpu_time_millis: 3930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8132, kappa: 0.659, kb_relative_information_score: 52945.3524, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8139, predictive_accuracy: 0.814, prior_entropy: 1.7594, recall: 0.814, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7737, scimark_benchmark: 1341.5795, usercpu_time_millis: 701700, usercpu_time_millis_testing: 3070, usercpu_time_millis_training: 698630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8072, kappa: 0.6542, kb_relative_information_score: 59015.7608, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8121, predictive_accuracy: 0.8116, prior_entropy: 1.7594, recall: 0.8116, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.643, scimark_benchmark: 1367.4715, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8007, kappa: 0.6352, kb_relative_information_score: 47161.8545, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8001, predictive_accuracy: 0.8013, prior_entropy: 1.7594, recall: 0.8013, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.8537, scimark_benchmark: 908.2231, usercpu_time_millis: 6000, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 5020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.606, kappa: 0.2528, kb_relative_information_score: 22314.6011, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5749, predictive_accuracy: 0.6547, prior_entropy: 1.7594, recall: 0.6547, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0051, scimark_benchmark: 1073.494, usercpu_time_millis: 530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.513, kappa: 0.0033, kb_relative_information_score: 4447.6561, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4602, predictive_accuracy: 0.6044, prior_entropy: 1.7594, recall: 0.6044, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0454, scimark_benchmark: 1311.7039, usercpu_time_millis: 304720, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 304460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7221, kappa: 0.4981, kb_relative_information_score: 39807.821, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7665, predictive_accuracy: 0.6958, prior_entropy: 1.7594, recall: 0.6958, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.9429, scimark_benchmark: 1354.8751, usercpu_time_millis: 270, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7307, kappa: 0.5053, kb_relative_information_score: 38159.8554, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.734, predictive_accuracy: 0.7277, prior_entropy: 1.7594, recall: 0.7277, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.9313, scimark_benchmark: 932.0242, usercpu_time_millis: 1000090, usercpu_time_millis_testing: 1000090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 48277.1102, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6987, scimark_benchmark: 1328.941, usercpu_time_millis: 281620, usercpu_time_millis_testing: 281620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.5204, kappa: 0.001, kb_relative_information_score: 12655.7763, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5269, predictive_accuracy: 0.6563, prior_entropy: 1.7594, recall: 0.6563, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.256, root_relative_squared_error: 0.9173, scimark_benchmark: 833.3193, usercpu_time_millis: 12930, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 12890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.5136, kappa: 0.0036, kb_relative_information_score: 4420.6787, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4608, predictive_accuracy: 0.606, prior_entropy: 1.7594, recall: 0.606, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0452, scimark_benchmark: 1314.7093, usercpu_time_millis: 518870, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 518410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8007, kappa: 0.6352, kb_relative_information_score: 47162.1083, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8001, predictive_accuracy: 0.8013, prior_entropy: 1.7594, recall: 0.8013, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.8537, scimark_benchmark: 1307.3764, usercpu_time_millis: 3490, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5125, kappa: 0.0045, kb_relative_information_score: 4368.4367, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4602, predictive_accuracy: 0.6012, prior_entropy: 1.7594, recall: 0.6012, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2925, root_relative_squared_error: 1.0483, scimark_benchmark: 1331.2332, usercpu_time_millis: 70670, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 70580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8153, kappa: 0.6698, kb_relative_information_score: 59574.5486, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8184, predictive_accuracy: 0.8201, prior_entropy: 1.7594, recall: 0.8201, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.6312, scimark_benchmark: 1307.9718, usercpu_time_millis: 1310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8157, kappa: 0.667, kb_relative_information_score: 59611.7304, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8176, predictive_accuracy: 0.8186, prior_entropy: 1.7594, recall: 0.8186, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.6349, scimark_benchmark: 1311.1837, usercpu_time_millis: 2570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8156, kappa: 0.664, kb_relative_information_score: 59360.5561, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8166, predictive_accuracy: 0.8169, prior_entropy: 1.7594, recall: 0.8169, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.179, root_relative_squared_error: 0.6415, scimark_benchmark: 1350.4702, usercpu_time_millis: 3320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 46671.7833, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.7078, scimark_benchmark: 1249.4068, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.5199, kb_relative_information_score: 13578.0679, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.9124, scimark_benchmark: 1292.1375, usercpu_time_millis: 204440, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 203710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.7586, kappa: 0.5789, kb_relative_information_score: 49784.3063, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.747, predictive_accuracy: 0.7889, prior_entropy: 1.7594, recall: 0.7889, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7477, scimark_benchmark: 1305.7138, usercpu_time_millis: 17010, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 16940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7229, kappa: 0.508, kb_relative_information_score: 35892.0486, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7127, predictive_accuracy: 0.7705, prior_entropy: 1.7594, recall: 0.7705, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.8116, scimark_benchmark: 1340.4336, usercpu_time_millis: 12160, usercpu_time_millis_training: 12160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.7429, kappa: 0.5312, kb_relative_information_score: 41903.8726, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7439, predictive_accuracy: 0.7445, prior_entropy: 1.7594, recall: 0.7445, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.9015, scimark_benchmark: 938.0414, usercpu_time_millis: 41920, usercpu_time_millis_testing: 41910, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7283, kappa: 0.5154, kb_relative_information_score: 36524.0088, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7194, predictive_accuracy: 0.7552, prior_entropy: 1.7594, recall: 0.7552, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.8445, scimark_benchmark: 918.0213, usercpu_time_millis: 330, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 46671.757, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.7078, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.52, kappa: 0.0001, kb_relative_information_score: 12316.2204, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5324, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.92, scimark_benchmark: 880.8372, usercpu_time_millis: 26390, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 26280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8021, kappa: 0.6526, kb_relative_information_score: 48275.541, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8061, predictive_accuracy: 0.8123, prior_entropy: 1.7594, recall: 0.8123, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.7066, scimark_benchmark: 916.6405, usercpu_time_millis: 11610, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 11570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5119, kappa: 0.0044, kb_relative_information_score: 4355.4082, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.46, predictive_accuracy: 0.5991, prior_entropy: 1.7594, recall: 0.5991, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0518, scimark_benchmark: 940.0008, usercpu_time_millis: 31980, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 31950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.7497, kappa: 0.6225, kb_relative_information_score: 56976.5433, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.78, predictive_accuracy: 0.7957, prior_entropy: 1.7594, recall: 0.7957, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6526, scimark_benchmark: 1318.1432, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.5124, kappa: 0.0032, kb_relative_information_score: 4457.4633, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4599, predictive_accuracy: 0.6025, prior_entropy: 1.7594, recall: 0.6025, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.292, root_relative_squared_error: 1.0462, scimark_benchmark: 924.3698, usercpu_time_millis: 143250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 143080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 889.3151, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 1324.8395, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.7631, kappa: 0.5724, kb_relative_information_score: 50466.8248, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.76, predictive_accuracy: 0.7701, prior_entropy: 1.7594, recall: 0.7701, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.7394, scimark_benchmark: 916.6405, usercpu_time_millis: 58400, usercpu_time_millis_testing: 58400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.7728, kappa: 0.5907, kb_relative_information_score: 51510.8144, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7694, predictive_accuracy: 0.7794, prior_entropy: 1.7594, recall: 0.7794, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.7125, scimark_benchmark: 1313.9994, usercpu_time_millis: 45430, usercpu_time_millis_testing: 45430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8049, kappa: 0.6432, kb_relative_information_score: -2842.4764, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8043, predictive_accuracy: 0.8056, prior_entropy: 1.7594, recall: 0.8056, relative_absolute_error: 1.3388, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3081, root_relative_squared_error: 1.1039, scimark_benchmark: 880.8372, usercpu_time_millis: 667180, usercpu_time_millis_testing: 22530, usercpu_time_millis_training: 644650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.5667, kappa: 0.1253, kb_relative_information_score: 29092.1074, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5613, predictive_accuracy: 0.675, prior_entropy: 1.7594, recall: 0.675, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.8161, scimark_benchmark: 1330.0694, usercpu_time_millis: 13700, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 12740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.807, kappa: 0.6573, kb_relative_information_score: 56856.7804, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8117, predictive_accuracy: 0.8134, prior_entropy: 1.7594, recall: 0.8134, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6571, scimark_benchmark: 1321.9426, usercpu_time_millis: 2079790, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2079750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8167, kappa: 0.6747, kb_relative_information_score: 59915.7038, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8225, predictive_accuracy: 0.8225, prior_entropy: 1.7594, recall: 0.8225, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6279, scimark_benchmark: 1315.1549, usercpu_time_millis: 567520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 567500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.7334, kappa: 0.5209, kb_relative_information_score: 42434.5692, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7678, predictive_accuracy: 0.7159, prior_entropy: 1.7594, recall: 0.7159, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.8979, scimark_benchmark: 1334.8495, usercpu_time_millis: 450, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8039, kappa: 0.6485, kb_relative_information_score: 58008.1888, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8076, predictive_accuracy: 0.8095, prior_entropy: 1.7594, recall: 0.8095, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.6566, scimark_benchmark: 1307.7326, usercpu_time_millis: 2840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.7334, kappa: 0.5209, kb_relative_information_score: 42434.5692, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7678, predictive_accuracy: 0.7159, prior_entropy: 1.7594, recall: 0.7159, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.8979, scimark_benchmark: 1326.014, usercpu_time_millis: 440, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8072, kappa: 0.6542, kb_relative_information_score: 59015.7608, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8121, predictive_accuracy: 0.8116, prior_entropy: 1.7594, recall: 0.8116, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.643, scimark_benchmark: 1342.6911, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5119, kappa: 0.0044, kb_relative_information_score: 4355.4082, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.46, predictive_accuracy: 0.5991, prior_entropy: 1.7594, recall: 0.5991, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0518, scimark_benchmark: 1337.8124, usercpu_time_millis: 34200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 34170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8072, kappa: 0.6542, kb_relative_information_score: 59015.7608, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8121, predictive_accuracy: 0.8116, prior_entropy: 1.7594, recall: 0.8116, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.643, scimark_benchmark: 1386.5717, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.7438, kappa: 0.5303, kb_relative_information_score: 37722.5221, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7475, predictive_accuracy: 0.7412, prior_entropy: 1.7594, recall: 0.7412, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9745, scimark_benchmark: 1340.1351, usercpu_time_millis: 46700, usercpu_time_millis_testing: 46690, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8028, kappa: 0.6386, kb_relative_information_score: 48677.0469, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8028, predictive_accuracy: 0.8029, prior_entropy: 1.7594, recall: 0.8029, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.8321, scimark_benchmark: 1323.976, usercpu_time_millis: 470990, usercpu_time_millis_testing: 3260, usercpu_time_millis_training: 467730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7221, kappa: 0.4981, kb_relative_information_score: 39807.821, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7665, predictive_accuracy: 0.6958, prior_entropy: 1.7594, recall: 0.6958, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.9429, scimark_benchmark: 1329.8008, usercpu_time_millis: 280, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8132, kappa: 0.659, kb_relative_information_score: 52945.3524, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8139, predictive_accuracy: 0.814, prior_entropy: 1.7594, recall: 0.814, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7737, scimark_benchmark: 1306.5596, usercpu_time_millis: 728740, usercpu_time_millis_testing: 3420, usercpu_time_millis_training: 725320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 940.0055, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 936.1714, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 34905.9238, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.8956, scimark_benchmark: 929.0296, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 941.9549, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.5667, kappa: 0.1253, kb_relative_information_score: 29092.1074, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5613, predictive_accuracy: 0.675, prior_entropy: 1.7594, recall: 0.675, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.8161, scimark_benchmark: 1322.7257, usercpu_time_millis: 13720, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 12800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8072, kappa: 0.6542, kb_relative_information_score: 59015.7608, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8121, predictive_accuracy: 0.8116, prior_entropy: 1.7594, recall: 0.8116, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.643, scimark_benchmark: 1371.9645, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.6703, kappa: 0.4193, kb_relative_information_score: -22211.8043, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6481, predictive_accuracy: 0.7195, prior_entropy: 1.7594, recall: 0.7195, relative_absolute_error: 1.5475, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3446, root_relative_squared_error: 1.2349, scimark_benchmark: 1313.6093, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5199, kb_relative_information_score: 0.2053, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2791, root_relative_squared_error: 1, scimark_benchmark: 1327.3602, usercpu_time_millis: 620, usercpu_time_millis_testing: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 18238.0612, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1318.5627, usercpu_time_millis: 126850, usercpu_time_millis_testing: 51730, usercpu_time_millis_training: 75120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8138, kappa: 0.6594, kb_relative_information_score: 58261.4644, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8145, predictive_accuracy: 0.8144, prior_entropy: 1.7594, recall: 0.8144, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6619, scimark_benchmark: 1264.0609, usercpu_time_millis: 14960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.801, kappa: 0.6413, kb_relative_information_score: 56236.2989, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8049, predictive_accuracy: 0.8046, prior_entropy: 1.7594, recall: 0.8046, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.6561, scimark_benchmark: 936.1714, usercpu_time_millis: 820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 1528.5471, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.5199, kb_relative_information_score: 12971.0974, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.9053, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9164, scimark_benchmark: 1329.8902, usercpu_time_millis: 109440, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 109140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8072, kappa: 0.6542, kb_relative_information_score: 59015.7608, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8121, predictive_accuracy: 0.8116, prior_entropy: 1.7594, recall: 0.8116, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.643, scimark_benchmark: 950.6776, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.815, kappa: 0.6732, kb_relative_information_score: -2207.9663, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8132, predictive_accuracy: 0.8219, prior_entropy: 1.7594, recall: 0.8219, relative_absolute_error: 1.3351, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3076, root_relative_squared_error: 1.1023, scimark_benchmark: 1059.8591, usercpu_time_millis: 7985210, usercpu_time_millis_testing: 4945390, usercpu_time_millis_training: 3039820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.5199, kb_relative_information_score: 12530.9991, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.9199, scimark_benchmark: 1309.4998, usercpu_time_millis: 51230, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 51080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5119, kappa: 0.0044, kb_relative_information_score: 4355.4082, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.46, predictive_accuracy: 0.5991, prior_entropy: 1.7594, recall: 0.5991, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0518, scimark_benchmark: 918.0213, usercpu_time_millis: 34400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 34370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 18238.0612, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1352.3373, usercpu_time_millis: 164500, usercpu_time_millis_testing: 55650, usercpu_time_millis_training: 108850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.5982, kappa: 0.2243, kb_relative_information_score: 12644.237, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5701, predictive_accuracy: 0.6548, prior_entropy: 1.7594, recall: 0.6548, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0339, scimark_benchmark: 1362.1309, usercpu_time_millis: 1320, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 18238.0612, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1322.7279, usercpu_time_millis: 117710, usercpu_time_millis_testing: 38890, usercpu_time_millis_training: 78820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8072, kappa: 0.6542, kb_relative_information_score: 59015.7608, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8121, predictive_accuracy: 0.8116, prior_entropy: 1.7594, recall: 0.8116, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.643, scimark_benchmark: 926.4745, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8167, kappa: 0.6747, kb_relative_information_score: 59915.7038, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8225, predictive_accuracy: 0.8225, prior_entropy: 1.7594, recall: 0.8225, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6279, scimark_benchmark: 875.9128, usercpu_time_millis: 759970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 759960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5119, kappa: 0.0044, kb_relative_information_score: 4355.4082, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.46, predictive_accuracy: 0.5991, prior_entropy: 1.7594, recall: 0.5991, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.0518, scimark_benchmark: 1318.6467, usercpu_time_millis: 35980, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 35930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 18238.0612, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1346.2927, usercpu_time_millis: 141220, usercpu_time_millis_testing: 64910, usercpu_time_millis_training: 76310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7221, kappa: 0.4981, kb_relative_information_score: 39807.821, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.7665, predictive_accuracy: 0.6958, prior_entropy: 1.7594, recall: 0.6958, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.9429, scimark_benchmark: 1346.2927, usercpu_time_millis: 300, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.5982, kappa: 0.2243, kb_relative_information_score: 12644.237, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5701, predictive_accuracy: 0.6548, prior_entropy: 1.7594, recall: 0.6548, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0339, scimark_benchmark: 1314.9949, usercpu_time_millis: 1130, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.5982, kappa: 0.2243, kb_relative_information_score: 12644.237, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5701, predictive_accuracy: 0.6548, prior_entropy: 1.7594, recall: 0.6548, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0339, scimark_benchmark: 1346.2927, usercpu_time_millis: 1220, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.5667, kappa: 0.1253, kb_relative_information_score: 29092.1074, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5613, predictive_accuracy: 0.675, prior_entropy: 1.7594, recall: 0.675, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.8161, scimark_benchmark: 1352.9101, usercpu_time_millis: 14400, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 13140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 18238.0612, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1336.4564, usercpu_time_millis: 174470, usercpu_time_millis_testing: 61510, usercpu_time_millis_training: 112960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.5982, kappa: 0.2243, kb_relative_information_score: 12644.237, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.5701, predictive_accuracy: 0.6548, prior_entropy: 1.7594, recall: 0.6548, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2885, root_relative_squared_error: 1.0339, scimark_benchmark: 1314.2279, usercpu_time_millis: 1170, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8167, kappa: 0.6747, kb_relative_information_score: 59915.7038, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1558, number_of_instances: 88440, precision: 0.8225, predictive_accuracy: 0.8225, prior_entropy: 1.7594, recall: 0.8225, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6279, scimark_benchmark: 1314.2279, usercpu_time_millis: 549560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 549550,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs