OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.616, kappa: 0.2323, kb_relative_information_score: 186.2962, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6164, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9693, scimark_benchmark: 1368.7481, usercpu_time_millis: 40.314, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 39.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7635, kappa: 0.5292, kb_relative_information_score: 671.3153, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7646, prior_entropy: 1, recall: 0.7646, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374, scimark_benchmark: 1365.1045, usercpu_time_millis: 507.521, usercpu_time_millis_testing: 1.266, usercpu_time_millis_training: 506.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6957, kappa: 0.3962, kb_relative_information_score: 405.553, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7044, predictive_accuracy: 0.6981, prior_entropy: 1, recall: 0.6981, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9061, scimark_benchmark: 1366.499, usercpu_time_millis: 27.755, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 27.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7499, kappa: 0.5, kb_relative_information_score: 721.3926, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8341, scimark_benchmark: 1364.17, usercpu_time_millis: 1294.393, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 1292.871,
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: 1367.6441, usercpu_time_millis: 4.165, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 3.318,
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: 1366.2648, usercpu_time_millis: 6.325, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 5.275,
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: 1366.1953, usercpu_time_millis: 3.835, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 3.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7434, kappa: 0.4869, kb_relative_information_score: 719.0234, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7438, predictive_accuracy: 0.7435, prior_entropy: 1, recall: 0.7435, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8357, scimark_benchmark: 1372.5673, usercpu_time_millis: 166.669, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 166.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6776, kappa: 0.3615, kb_relative_information_score: 356.9277, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6882, predictive_accuracy: 0.6808, prior_entropy: 1, recall: 0.6808, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9183, scimark_benchmark: 1368.0837, usercpu_time_millis: 176.994, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 176.081,
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: 1367.4043, usercpu_time_millis: 5.314, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 4.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7209, kappa: 0.4454, kb_relative_information_score: 430.3005, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7286, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.448, root_relative_squared_error: 0.896, scimark_benchmark: 1366.4965, usercpu_time_millis: 218.989, usercpu_time_millis_testing: 1.835, usercpu_time_millis_training: 217.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.7935, kappa: 0.5869, kb_relative_information_score: 969.2136, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7935, predictive_accuracy: 0.7935, prior_entropy: 1, recall: 0.7935, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7748, scimark_benchmark: 1360.0854, usercpu_time_millis: 826.582, usercpu_time_millis_testing: 1.129, usercpu_time_millis_training: 825.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7561, kappa: 0.5146, kb_relative_information_score: 644.6759, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7624, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8434, scimark_benchmark: 1366.1126, usercpu_time_millis: 578.521, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 576.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6378, kappa: 0.2792, kb_relative_information_score: 284.5061, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6424, predictive_accuracy: 0.6396, prior_entropy: 1, recall: 0.6396, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9358, scimark_benchmark: 1365.5824, usercpu_time_millis: 21.108, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 20.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.6248, kappa: 0.2523, kb_relative_information_score: 257.1635, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.628, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9416, scimark_benchmark: 1363.0982, usercpu_time_millis: 99.224, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 97.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7631, kappa: 0.5262, kb_relative_information_score: 785.8512, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7631, predictive_accuracy: 0.7631, prior_entropy: 1, recall: 0.7631, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8232, scimark_benchmark: 1366.9116, usercpu_time_millis: 1126.305, usercpu_time_millis_testing: 1.51, usercpu_time_millis_training: 1124.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8508, kappa: 0.7015, kb_relative_information_score: 1247.193, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8509, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.344, root_relative_squared_error: 0.688, scimark_benchmark: 1369.1062, usercpu_time_millis: 201.769, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 201.21,
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: 1365.5672, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 2.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8223, kappa: 0.6446, kb_relative_information_score: 964.9203, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8227, predictive_accuracy: 0.8223, prior_entropy: 1, recall: 0.8223, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7618, scimark_benchmark: 1362.9798, usercpu_time_millis: 1067.371, usercpu_time_millis_testing: 1.501, usercpu_time_millis_training: 1065.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.6907, kappa: 0.3846, kb_relative_information_score: 361.7404, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6965, predictive_accuracy: 0.6923, prior_entropy: 1, recall: 0.6923, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9168, scimark_benchmark: 1372.7936, usercpu_time_millis: 41.207, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 40.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 186.8625, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9612, scimark_benchmark: 1363.5542, usercpu_time_millis: 18.041, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 17.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 1321.6163, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8447, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6883, scimark_benchmark: 1372.8029, usercpu_time_millis: 989.701, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 988.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7906, kappa: 0.5823, kb_relative_information_score: 682.2843, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.794, predictive_accuracy: 0.7912, prior_entropy: 1, recall: 0.7912, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251, scimark_benchmark: 1370.7681, usercpu_time_millis: 406.537, usercpu_time_millis_testing: 2.173, usercpu_time_millis_training: 404.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.806, kappa: 0.6123, kb_relative_information_score: 1121.4077, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8073, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7512, scimark_benchmark: 1366.3901, usercpu_time_millis: 2019.183, usercpu_time_millis_testing: 2.05, usercpu_time_millis_training: 2017.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.61, kappa: 0.2208, kb_relative_information_score: 157.3885, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671, scimark_benchmark: 1367.5094, usercpu_time_millis: 15.808, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 15.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.758, kappa: 0.5169, kb_relative_information_score: 691.8962, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7605, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8363, scimark_benchmark: 1364.7052, usercpu_time_millis: 611.887, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 610.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.6911, kappa: 0.3854, kb_relative_information_score: 318.9425, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6968, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.461, root_relative_squared_error: 0.922, scimark_benchmark: 1366.9225, usercpu_time_millis: 147.183, usercpu_time_millis_testing: 2.598, usercpu_time_millis_training: 144.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8214, kappa: 0.6431, kb_relative_information_score: 918.9499, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8223, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7708, scimark_benchmark: 1364.0657, usercpu_time_millis: 568.873, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 567.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.6024, kappa: 0.2054, kb_relative_information_score: 91.0953, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.603, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9779, scimark_benchmark: 1367.2418, usercpu_time_millis: 6.827, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 6.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.6357, kappa: 0.2738, kb_relative_information_score: 272.9293, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6387, predictive_accuracy: 0.6369, prior_entropy: 1, recall: 0.6369, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9384, scimark_benchmark: 1369.7566, usercpu_time_millis: 28.156, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 27.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 955.3084, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8362, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.377, root_relative_squared_error: 0.754, scimark_benchmark: 1366.5254, usercpu_time_millis: 354.781, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 353.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.804, kappa: 0.6085, kb_relative_information_score: 791.9511, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8059, predictive_accuracy: 0.8042, prior_entropy: 1, recall: 0.8042, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.7996, scimark_benchmark: 1369.5555, usercpu_time_millis: 797.294, usercpu_time_millis_testing: 2.852, usercpu_time_millis_training: 794.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8515, kappa: 0.7031, kb_relative_information_score: 1030.569, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.852, predictive_accuracy: 0.8515, prior_entropy: 1, recall: 0.8515, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7292, scimark_benchmark: 1365.8283, usercpu_time_millis: 881.327, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 877.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8485, kappa: 0.6969, kb_relative_information_score: 1347.4358, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8485, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6757, scimark_benchmark: 1366.3125, usercpu_time_millis: 2510.77, usercpu_time_millis_testing: 3.171, usercpu_time_millis_training: 2507.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6829, kappa: 0.3669, kb_relative_information_score: 249.7485, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6847, predictive_accuracy: 0.6835, prior_entropy: 1, recall: 0.6835, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9374, scimark_benchmark: 1368.1878, usercpu_time_millis: 32.398, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 31.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.6451, kappa: 0.3131, kb_relative_information_score: 369.5165, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6797, predictive_accuracy: 0.6565, prior_entropy: 1, recall: 0.6565, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9264, scimark_benchmark: 1368.7707, usercpu_time_millis: 185.612, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 184.56,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7462, kappa: 0.4946, kb_relative_information_score: 583.6532, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7516, predictive_accuracy: 0.7473, prior_entropy: 1, recall: 0.7473, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8588, scimark_benchmark: 1372.8267, usercpu_time_millis: 49.172, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 48.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 1051.0223, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.829, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7444, scimark_benchmark: 1369.4723, usercpu_time_millis: 276.878, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 276.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.6841, kappa: 0.3738, kb_relative_information_score: 358.3049, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6937, predictive_accuracy: 0.6869, prior_entropy: 1, recall: 0.6869, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9182, scimark_benchmark: 1363.8544, usercpu_time_millis: 271.926, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 270.939,
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: 1369.382, usercpu_time_millis: 3.604, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 3.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7932, kappa: 0.5869, kb_relative_information_score: 740.6871, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.795, predictive_accuracy: 0.7935, prior_entropy: 1, recall: 0.7935, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8138, scimark_benchmark: 1371.454, usercpu_time_millis: 634.004, usercpu_time_millis_testing: 2.075, usercpu_time_millis_training: 631.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8133, kappa: 0.6269, kb_relative_information_score: 910.7292, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8143, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7764, scimark_benchmark: 1367.2523, usercpu_time_millis: 673.768, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 672.825,
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: 1368.3824, usercpu_time_millis: 2.033, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.6151, kappa: 0.2308, kb_relative_information_score: 173.6086, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6157, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9684, scimark_benchmark: 1365.2119, usercpu_time_millis: 62.461, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 61.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.6956, kappa: 0.3938, kb_relative_information_score: 410.9366, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7004, predictive_accuracy: 0.6969, prior_entropy: 1, recall: 0.6969, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9095, scimark_benchmark: 1369.129, usercpu_time_millis: 22.907, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 22.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 1003.5332, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.836, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7431, scimark_benchmark: 1364.1642, usercpu_time_millis: 1017.703, usercpu_time_millis_testing: 1.679, usercpu_time_millis_training: 1016.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8654, kappa: 0.7308, kb_relative_information_score: 1220.2151, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8655, predictive_accuracy: 0.8654, prior_entropy: 1, recall: 0.8654, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822, scimark_benchmark: 1366.8669, usercpu_time_millis: 1137.952, usercpu_time_millis_testing: 2.802, usercpu_time_millis_training: 1135.15,
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: 1367.7914, usercpu_time_millis: 1.78, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8113, kappa: 0.6231, kb_relative_information_score: 776.8443, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.813, predictive_accuracy: 0.8115, prior_entropy: 1, recall: 0.8115, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.7989, scimark_benchmark: 1365.3832, usercpu_time_millis: 117.919, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 116.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.833, kappa: 0.6662, kb_relative_information_score: 924.7806, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7619, scimark_benchmark: 1348.8733, usercpu_time_millis: 966.261, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 964.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6126, kappa: 0.2254, kb_relative_information_score: 166.0254, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6128, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9673, scimark_benchmark: 1366.2704, usercpu_time_millis: 43.562, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 42.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8273, kappa: 0.6546, kb_relative_information_score: 1014.7652, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8276, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7466, scimark_benchmark: 1366.2938, usercpu_time_millis: 2033.293, usercpu_time_millis_testing: 3.168, usercpu_time_millis_training: 2030.125,
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: 1364.5563, usercpu_time_millis: 2.932, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 2.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6073, kappa: 0.2146, kb_relative_information_score: 102.5207, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6073, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9758, scimark_benchmark: 1364.4624, usercpu_time_millis: 2.203, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7161, kappa: 0.4362, kb_relative_information_score: 438.7384, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7244, predictive_accuracy: 0.7181, prior_entropy: 1, recall: 0.7181, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.447, root_relative_squared_error: 0.894, scimark_benchmark: 1367.9603, usercpu_time_millis: 231.65, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 229.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7311, kappa: 0.4646, kb_relative_information_score: 539.3432, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7364, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8711, scimark_benchmark: 1369.3963, usercpu_time_millis: 55.185, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 54.139,
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: 1369.5197, usercpu_time_millis: 4.646, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 3.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8103, kappa: 0.6208, kb_relative_information_score: 1002.4822, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8107, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7651, scimark_benchmark: 1368.011, usercpu_time_millis: 762.018, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 760.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.6872, kappa: 0.3808, kb_relative_information_score: 502.4085, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6985, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8911, scimark_benchmark: 1366.0112, usercpu_time_millis: 116.309, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 115.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, 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: 1364.0632, usercpu_time_millis: 5.115, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 4.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6489, kappa: 0.3038, kb_relative_information_score: 318.1165, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6574, predictive_accuracy: 0.6519, prior_entropy: 1, recall: 0.6519, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9316, scimark_benchmark: 1369.9936, usercpu_time_millis: 129.585, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 128.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.6864, kappa: 0.3762, kb_relative_information_score: 333.7392, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6922, predictive_accuracy: 0.6881, prior_entropy: 1, recall: 0.6881, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9211, scimark_benchmark: 1370.327, usercpu_time_millis: 326.81, usercpu_time_millis_testing: 2.633, usercpu_time_millis_training: 324.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6678, kappa: 0.3454, kb_relative_information_score: 397.3439, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6835, predictive_accuracy: 0.6727, prior_entropy: 1, recall: 0.6727, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9209, scimark_benchmark: 1366.8621, usercpu_time_millis: 216.104, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 215.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8303, kappa: 0.6608, kb_relative_information_score: 1012.6539, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8307, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.749, scimark_benchmark: 1367.5567, usercpu_time_millis: 844.77, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 843.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.6818, kappa: 0.37, kb_relative_information_score: 453.2825, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6926, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.452, root_relative_squared_error: 0.904, scimark_benchmark: 1373.4323, usercpu_time_millis: 240.758, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 239.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7447, kappa: 0.4923, kb_relative_information_score: 497.0548, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7519, predictive_accuracy: 0.7462, prior_entropy: 1, recall: 0.7462, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8746, scimark_benchmark: 1365.7426, usercpu_time_millis: 148.312, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 146.921,
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: 1364.637, usercpu_time_millis: 5.271, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 4.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.6166, kappa: 0.2338, kb_relative_information_score: 181.6736, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6173, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.969, scimark_benchmark: 1366.5238, usercpu_time_millis: 52.303, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 51.407,

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