OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1772.2368, usercpu_time_millis: 4.05, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 3.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1855.6669, usercpu_time_millis: 2.421, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 2.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 859.0831, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.828, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7784, scimark_benchmark: 1234.8773, usercpu_time_millis: 903.549, usercpu_time_millis_testing: 2.604, usercpu_time_millis_training: 900.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 1053.4308, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8349, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7347, scimark_benchmark: 1854.5679, usercpu_time_millis: 1331.141, usercpu_time_millis_testing: 2.218, usercpu_time_millis_training: 1328.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8523, kappa: 0.7046, kb_relative_information_score: 1387.7149, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8524, predictive_accuracy: 0.8523, prior_entropy: 1, recall: 0.8523, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6679, scimark_benchmark: 1247.1654, usercpu_time_millis: 803.207, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 801.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8269, kappa: 0.6538, kb_relative_information_score: 1010.8141, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8274, predictive_accuracy: 0.8269, prior_entropy: 1, recall: 0.8269, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7514, scimark_benchmark: 1740.5136, usercpu_time_millis: 976.48, usercpu_time_millis_testing: 1.196, usercpu_time_millis_training: 975.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7876, kappa: 0.5754, kb_relative_information_score: 822.0401, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7881, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8035, scimark_benchmark: 1834.7828, usercpu_time_millis: 888.368, usercpu_time_millis_testing: 1.706, usercpu_time_millis_training: 886.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.7864, kappa: 0.5731, kb_relative_information_score: 777.4869, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7871, predictive_accuracy: 0.7865, prior_entropy: 1, recall: 0.7865, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8124, scimark_benchmark: 1221.0777, usercpu_time_millis: 300.887, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 300.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8253, kappa: 0.6508, kb_relative_information_score: 960.9537, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8259, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7605, scimark_benchmark: 1277.2517, usercpu_time_millis: 3329.203, usercpu_time_millis_testing: 3.502, usercpu_time_millis_training: 3325.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8508, kappa: 0.7015, kb_relative_information_score: 1283.8581, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6867, scimark_benchmark: 1276.0324, usercpu_time_millis: 654.299, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 653.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.6902, kappa: 0.3885, kb_relative_information_score: 558.6193, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7048, predictive_accuracy: 0.6942, prior_entropy: 1, recall: 0.6942, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8813, scimark_benchmark: 1188.4143, usercpu_time_millis: 515.232, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 513.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6622, kappa: 0.3277, kb_relative_information_score: 404.9149, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6672, predictive_accuracy: 0.6638, prior_entropy: 1, recall: 0.6638, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9287, scimark_benchmark: 1264.4624, usercpu_time_millis: 186.931, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 185.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.743, kappa: 0.4892, kb_relative_information_score: 555.6939, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7508, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8632, scimark_benchmark: 1234.9112, usercpu_time_millis: 546.299, usercpu_time_millis_testing: 2.669, usercpu_time_millis_training: 543.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7883, kappa: 0.5769, kb_relative_information_score: 770.0534, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7893, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8126, scimark_benchmark: 1747.1647, usercpu_time_millis: 560.951, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 559.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6549, kappa: 0.3131, kb_relative_information_score: 282.6381, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6595, predictive_accuracy: 0.6565, prior_entropy: 1, recall: 0.6565, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9333, scimark_benchmark: 1181.3649, usercpu_time_millis: 32.906, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 31.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.825, kappa: 0.65, kb_relative_information_score: 939.3182, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8251, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, scimark_benchmark: 1243.4048, usercpu_time_millis: 82.029, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 81.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.798, kappa: 0.5962, kb_relative_information_score: 889.1617, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7986, predictive_accuracy: 0.7981, prior_entropy: 1, recall: 0.7981, relative_absolute_error: 0.7005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7843, scimark_benchmark: 1165.8757, usercpu_time_millis: 43.387, usercpu_time_millis_testing: 0.599, usercpu_time_millis_training: 42.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8419, kappa: 0.6838, kb_relative_information_score: 1017.7419, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8423, predictive_accuracy: 0.8419, prior_entropy: 1, recall: 0.8419, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7397, scimark_benchmark: 1273.7273, usercpu_time_millis: 216.178, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 215.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1255.969, usercpu_time_millis: 6.472, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 5.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 1196.198, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8428, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.354, root_relative_squared_error: 0.708, scimark_benchmark: 1843.149, usercpu_time_millis: 1016.011, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 1014.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.6383, kappa: 0.2823, kb_relative_information_score: 297.3656, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6458, predictive_accuracy: 0.6412, prior_entropy: 1, recall: 0.6412, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9395, scimark_benchmark: 1233.8406, usercpu_time_millis: 152.007, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 150.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1296.841, usercpu_time_millis: 5.968, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 4.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.6167, kappa: 0.2338, kb_relative_information_score: 188.3707, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6172, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9679, scimark_benchmark: 1189.8398, usercpu_time_millis: 24.127, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 23.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.6804, kappa: 0.3654, kb_relative_information_score: 359.9676, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6881, predictive_accuracy: 0.6827, prior_entropy: 1, recall: 0.6827, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9191, scimark_benchmark: 1231.2867, usercpu_time_millis: 65.149, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 64.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7835, kappa: 0.5669, kb_relative_information_score: 847.1993, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7835, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.7992, scimark_benchmark: 1840.8272, usercpu_time_millis: 433.857, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 432.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.6811, kappa: 0.3638, kb_relative_information_score: 305.3627, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6838, predictive_accuracy: 0.6819, prior_entropy: 1, recall: 0.6819, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9251, scimark_benchmark: 1230.1147, usercpu_time_millis: 12.63, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 12.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1175.5079, usercpu_time_millis: 7.195, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 5.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6121, kappa: 0.2246, kb_relative_information_score: 176.7282, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6126, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9639, scimark_benchmark: 1272.7598, usercpu_time_millis: 16.647, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 15.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.6788, kappa: 0.3608, kb_relative_information_score: 362.0014, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6841, predictive_accuracy: 0.6804, prior_entropy: 1, recall: 0.6804, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9231, scimark_benchmark: 1273.4812, usercpu_time_millis: 15.62, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 15.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8307, kappa: 0.6615, kb_relative_information_score: 873.4598, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8314, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7762, scimark_benchmark: 1983.0309, usercpu_time_millis: 514.941, usercpu_time_millis_testing: 1.969, usercpu_time_millis_training: 512.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.838, kappa: 0.6762, kb_relative_information_score: 929.0539, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8384, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7578, scimark_benchmark: 1251.2461, usercpu_time_millis: 1074.037, usercpu_time_millis_testing: 3.074, usercpu_time_millis_training: 1070.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8126, kappa: 0.6254, kb_relative_information_score: 854.3194, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8133, predictive_accuracy: 0.8127, prior_entropy: 1, recall: 0.8127, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7876, scimark_benchmark: 1271.0195, usercpu_time_millis: 596.645, usercpu_time_millis_testing: 1.655, usercpu_time_millis_training: 594.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8041, kappa: 0.6085, kb_relative_information_score: 849.1616, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.805, predictive_accuracy: 0.8042, prior_entropy: 1, recall: 0.8042, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7922, scimark_benchmark: 1252.05, usercpu_time_millis: 1918.691, usercpu_time_millis_testing: 2.737, usercpu_time_millis_training: 1915.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 859.8168, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.828, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7744, scimark_benchmark: 1241.7104, usercpu_time_millis: 693.27, usercpu_time_millis_testing: 4.583, usercpu_time_millis_training: 688.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7319, kappa: 0.4677, kb_relative_information_score: 559.8377, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.741, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8699, scimark_benchmark: 1264.0439, usercpu_time_millis: 639.061, usercpu_time_millis_testing: 1.775, usercpu_time_millis_training: 637.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6914, kappa: 0.3846, kb_relative_information_score: 493.041, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6946, predictive_accuracy: 0.6923, prior_entropy: 1, recall: 0.6923, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9007, scimark_benchmark: 1200.4048, usercpu_time_millis: 146.161, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 145.379,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7543, kappa: 0.5108, kb_relative_information_score: 633.0439, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7598, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8434, scimark_benchmark: 1140.6494, usercpu_time_millis: 385.16, usercpu_time_millis_testing: 2.067, usercpu_time_millis_training: 383.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.794, kappa: 0.5892, kb_relative_information_score: 661.9127, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.798, predictive_accuracy: 0.7946, prior_entropy: 1, recall: 0.7946, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8259, scimark_benchmark: 1241.7463, usercpu_time_millis: 280.077, usercpu_time_millis_testing: 2.722, usercpu_time_millis_training: 277.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6177, kappa: 0.2362, kb_relative_information_score: 179.6387, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6185, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1172.7178, usercpu_time_millis: 86.708, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 85.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7534, kappa: 0.5085, kb_relative_information_score: 456.8069, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7579, predictive_accuracy: 0.7542, prior_entropy: 1, recall: 0.7542, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8826, scimark_benchmark: 1255.1682, usercpu_time_millis: 59.188, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 58.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 975.8254, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8392, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7493, scimark_benchmark: 1176.0498, usercpu_time_millis: 1293.362, usercpu_time_millis_testing: 2.471, usercpu_time_millis_training: 1290.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6868, kappa: 0.3792, kb_relative_information_score: 433.3609, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6966, predictive_accuracy: 0.6896, prior_entropy: 1, recall: 0.6896, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9083, scimark_benchmark: 1152.117, usercpu_time_millis: 240.719, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 239.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1233.5944, usercpu_time_millis: 5.173, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 4.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.6163, kappa: 0.2331, kb_relative_information_score: 188.1892, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6168, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9662, scimark_benchmark: 1251.9489, usercpu_time_millis: 87.513, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 86.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7494, kappa: 0.5015, kb_relative_information_score: 641.797, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7562, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8453, scimark_benchmark: 1273.1566, usercpu_time_millis: 439.537, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 438.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7131, kappa: 0.4308, kb_relative_information_score: 461.3152, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7225, predictive_accuracy: 0.7154, prior_entropy: 1, recall: 0.7154, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8938, scimark_benchmark: 1262.5091, usercpu_time_millis: 273.594, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 272.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8365, kappa: 0.6731, kb_relative_information_score: 1074.9064, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8368, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7347, scimark_benchmark: 1266.3399, usercpu_time_millis: 1524.685, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 1523.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8353, kappa: 0.6708, kb_relative_information_score: 1217.3342, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8358, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7074, scimark_benchmark: 1344.3246, usercpu_time_millis: 2890.973, usercpu_time_millis_testing: 3.274, usercpu_time_millis_training: 2887.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8195, kappa: 0.6392, kb_relative_information_score: 895.572, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8201, predictive_accuracy: 0.8196, prior_entropy: 1, recall: 0.8196, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7714, scimark_benchmark: 1258.3893, usercpu_time_millis: 85.062, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 84.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 1080.0867, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8441, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7235, scimark_benchmark: 1373.2445, usercpu_time_millis: 3075.201, usercpu_time_millis_testing: 3.925, usercpu_time_millis_training: 3071.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7207, kappa: 0.4446, kb_relative_information_score: 539.7059, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7276, predictive_accuracy: 0.7223, prior_entropy: 1, recall: 0.7223, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8754, scimark_benchmark: 1275.9818, usercpu_time_millis: 65.565, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 65.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7544, kappa: 0.5108, kb_relative_information_score: 649.6467, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7595, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8436, scimark_benchmark: 1216.0714, usercpu_time_millis: 336.032, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 335.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7172, kappa: 0.4385, kb_relative_information_score: 476.2037, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7257, predictive_accuracy: 0.7192, prior_entropy: 1, recall: 0.7192, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8892, scimark_benchmark: 1211.9161, usercpu_time_millis: 263.766, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 262.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 991.2887, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8264, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7523, scimark_benchmark: 1298.9195, usercpu_time_millis: 945.002, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 943.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 1062.2323, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8295, predictive_accuracy: 0.8292, prior_entropy: 1, recall: 0.8292, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376, scimark_benchmark: 1372.3591, usercpu_time_millis: 2002.524, usercpu_time_millis_testing: 2.15, usercpu_time_millis_training: 2000.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8005, kappa: 0.6015, kb_relative_information_score: 807.9888, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8024, predictive_accuracy: 0.8008, prior_entropy: 1, recall: 0.8008, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8007, scimark_benchmark: 1363.9656, usercpu_time_millis: 1451.105, usercpu_time_millis_testing: 2.151, usercpu_time_millis_training: 1448.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.6735, kappa: 0.3485, kb_relative_information_score: 245.462, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6758, predictive_accuracy: 0.6742, prior_entropy: 1, recall: 0.6742, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1169.3562, usercpu_time_millis: 75.886, usercpu_time_millis_testing: 2.331, usercpu_time_millis_training: 73.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.828, kappa: 0.6562, kb_relative_information_score: 973.3065, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8285, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7541, scimark_benchmark: 1228.0136, usercpu_time_millis: 1296.811, usercpu_time_millis_testing: 1.827, usercpu_time_millis_training: 1294.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8296, kappa: 0.6592, kb_relative_information_score: 1017.2881, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7479, scimark_benchmark: 1361.6652, usercpu_time_millis: 1771.29, usercpu_time_millis_testing: 1.645, usercpu_time_millis_training: 1769.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7513, kappa: 0.5046, kb_relative_information_score: 641.9514, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7563, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8451, scimark_benchmark: 1235.1932, usercpu_time_millis: 403.786, usercpu_time_millis_testing: 1.915, usercpu_time_millis_training: 401.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7848, kappa: 0.5708, kb_relative_information_score: 691.6724, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7884, predictive_accuracy: 0.7854, prior_entropy: 1, recall: 0.7854, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8248, scimark_benchmark: 1273.5383, usercpu_time_millis: 245.319, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 244.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7127, kappa: 0.4269, kb_relative_information_score: 603.9699, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7157, predictive_accuracy: 0.7135, prior_entropy: 1, recall: 0.7135, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8686, scimark_benchmark: 1319.104, usercpu_time_millis: 409.8, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 408.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1221.5374, usercpu_time_millis: 6.513, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 5.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6025, kappa: 0.2054, kb_relative_information_score: 105.6671, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6029, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9748, scimark_benchmark: 1244.3396, usercpu_time_millis: 13.915, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 12.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.83, kappa: 0.66, kb_relative_information_score: 1051.2165, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7372, scimark_benchmark: 1365.4071, usercpu_time_millis: 528.315, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 527.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8481, kappa: 0.6962, kb_relative_information_score: 1376.2756, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8481, predictive_accuracy: 0.8481, prior_entropy: 1, recall: 0.8481, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6736, scimark_benchmark: 1367.6398, usercpu_time_millis: 239.709, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 239.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8134, kappa: 0.6269, kb_relative_information_score: 847.9822, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8142, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7891, scimark_benchmark: 1372.4469, usercpu_time_millis: 160.454, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 159.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8426, kappa: 0.6854, kb_relative_information_score: 927.9877, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8434, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7543, scimark_benchmark: 1367.3497, usercpu_time_millis: 188.239, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 187.036,

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