Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
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  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9294, kappa: 0.8223, kb_relative_information_score: 720.4133, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9341, predictive_accuracy: 0.9343, prior_entropy: 1.2149, recall: 0.9343, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4974, scimark_benchmark: 924.3698, usercpu_time_millis: 410, usercpu_time_millis_testing: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9317, kappa: 0.8271, kb_relative_information_score: 734.6231, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9359, predictive_accuracy: 0.9354, prior_entropy: 1.2149, recall: 0.9354, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4932, scimark_benchmark: 825.5282, usercpu_time_millis: 300, usercpu_time_millis_testing: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.6587, kb_relative_information_score: -519.9371, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.7005, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.32, root_relative_squared_error: 1.2391, scimark_benchmark: 1297.6599, usercpu_time_millis: 770, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8591, kappa: 0.6565, kb_relative_information_score: -472.3343, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.863, predictive_accuracy: 0.8697, prior_entropy: 1.2149, recall: 0.8697, relative_absolute_error: 1.6769, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.2203, scimark_benchmark: 1321.527, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8825, kappa: 0.7102, kb_relative_information_score: 570.1022, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8861, predictive_accuracy: 0.8875, prior_entropy: 1.2149, recall: 0.8875, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.6556, scimark_benchmark: 923.988, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.5554, kappa: 0.1512, kb_relative_information_score: -257.8559, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7334, predictive_accuracy: 0.4599, prior_entropy: 1.2149, recall: 0.4599, relative_absolute_error: 1.3405, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.6432, scimark_benchmark: 1250.8301, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828, scimark_benchmark: 1304.9611, usercpu_time_millis: 700, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9286, kappa: 0.8257, kb_relative_information_score: 694.7601, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9349, predictive_accuracy: 0.9265, prior_entropy: 1.2149, recall: 0.9265, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5336, scimark_benchmark: 1337.7959, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.975, kappa: 0.9371, kb_relative_information_score: 759.0605, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 1.2149, recall: 0.9755, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3778, scimark_benchmark: 1297.5331, usercpu_time_millis: 2370, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565, scimark_benchmark: 1354.2491, usercpu_time_millis: 1040, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9251, kappa: 0.8138, kb_relative_information_score: 673.8305, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9262, predictive_accuracy: 0.9254, prior_entropy: 1.2149, recall: 0.9254, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.5702, scimark_benchmark: 1280.6952, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9145, kappa: 0.7868, kb_relative_information_score: 660.5744, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9153, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.5378, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9333, kappa: 0.8342, kb_relative_information_score: 711.1454, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9347, predictive_accuracy: 0.9332, prior_entropy: 1.2149, recall: 0.9332, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.5313, scimark_benchmark: 1361.1055, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 861.771, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1828, scimark_benchmark: 1353.6735, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.4128, kappa: 0.1687, kb_relative_information_score: -443.7489, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8196, predictive_accuracy: 0.3296, prior_entropy: 1.2149, recall: 0.3296, relative_absolute_error: 1.6638, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.8307, scimark_benchmark: 1384.4418, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9454, kappa: 0.861, kb_relative_information_score: 689.6338, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9462, predictive_accuracy: 0.9465, prior_entropy: 1.2149, recall: 0.9465, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5072, scimark_benchmark: 1465.2979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9885, kappa: 0.9721, kb_relative_information_score: 846.9216, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 1.2149, recall: 0.9889, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.055, root_relative_squared_error: 0.2129, scimark_benchmark: 923.7642, usercpu_time_millis: 101970, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 101910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.969, kappa: 0.9251, kb_relative_information_score: 797.0849, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9696, predictive_accuracy: 0.9699, prior_entropy: 1.2149, recall: 0.9699, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.3877, scimark_benchmark: 1054.3694, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9096, kappa: 0.772, kb_relative_information_score: 650.1972, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9097, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.5659, scimark_benchmark: 977.6382, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.7908, kappa: 0.582, kb_relative_information_score: 450.4711, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.874, predictive_accuracy: 0.7728, prior_entropy: 1.2149, recall: 0.7728, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2654, root_relative_squared_error: 1.0279, scimark_benchmark: 945.6434, usercpu_time_millis: 310, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8021, kappa: 0.5984, kb_relative_information_score: 479.2935, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.878, predictive_accuracy: 0.7851, prior_entropy: 1.2149, recall: 0.7851, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9904, scimark_benchmark: 942.6953, usercpu_time_millis: 540, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8577, kappa: 0.6851, kb_relative_information_score: 501.2944, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8941, predictive_accuracy: 0.8474, prior_entropy: 1.2149, recall: 0.8474, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8293, scimark_benchmark: 945.6434, usercpu_time_millis: 640, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8997, kappa: 0.7666, kb_relative_information_score: 568.0301, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9201, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6786, scimark_benchmark: 940.2922, usercpu_time_millis: 620, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8997, kappa: 0.7666, kb_relative_information_score: 568.0301, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9201, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.6786, scimark_benchmark: 926.6717, usercpu_time_millis: 600, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 922.9039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253, scimark_benchmark: 939.7623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.714, kappa: 0.2272, kb_relative_information_score: 399.4572, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7023, predictive_accuracy: 0.7773, prior_entropy: 1.2149, recall: 0.7773, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.8477, scimark_benchmark: 933.8635, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 867.1414, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1432, scimark_benchmark: 902.4773, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 853.7698, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1841, scimark_benchmark: 940.2922, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, build_cpu_time: 114.8965, build_memory: 1229337965.2829, f_measure: 0.9555, kappa: 0.8897, kb_relative_information_score: 782.8055, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9557, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.4576, scimark_benchmark: 942.3919,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, build_cpu_time: 53.4169, build_memory: 872511739.9822, f_measure: 0.9542, kappa: 0.8864, kb_relative_information_score: 783.3493, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 1.2149, recall: 0.9543, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.4544, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, build_cpu_time: 3.9267, build_memory: 275503532.1871, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 861.7168, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9923, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1824, scimark_benchmark: 942.3919,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 2.8579, build_memory: 161087246.343, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.5124, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1492, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 2.4235, build_memory: 1721742550.0846, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.5124, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1492, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 1.3345, build_memory: 494583079.0824, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.4439, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1493, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 0.7163, build_memory: 617911025.5501, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.4356, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.1493, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, build_cpu_time: 0.4531, build_memory: 623431725.0869, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 863.213, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1647, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, build_cpu_time: 0.178, build_memory: 1823136749.3987, f_measure: 0.9499, kappa: 0.875, kb_relative_information_score: 773.8924, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.95, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.4758, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 0.2356, build_memory: 772345167.4744, f_measure: 0.95, kappa: 0.8754, kb_relative_information_score: 772.7336, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.4766, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.3316, build_memory: 1039948411.216, f_measure: 0.95, kappa: 0.8754, kb_relative_information_score: 772.8568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4765, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 0.2619, build_memory: 672706475.0468, f_measure: 0.95, kappa: 0.8754, kb_relative_information_score: 772.8568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4765, scimark_benchmark: 908.2898,

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