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: 0.8181, f_measure: 0.7298, kappa: 0.4608, kb_relative_information_score: 658.662, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7323, predictive_accuracy: 0.7304, prior_entropy: 1, recall: 0.7304, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8508, scimark_benchmark: 1857.0384, usercpu_time_millis: 134.735, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 134.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7195, kappa: 0.4423, kb_relative_information_score: 530.5916, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7266, predictive_accuracy: 0.7212, prior_entropy: 1, recall: 0.7212, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8763, scimark_benchmark: 1853.3841, usercpu_time_millis: 142.549, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 141.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7734, kappa: 0.5469, kb_relative_information_score: 765.7505, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7739, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8178, scimark_benchmark: 1852.3367, usercpu_time_millis: 176.932, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 176.239,
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: 1848.916, usercpu_time_millis: 2.771, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 2.293,
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: 1857.5664, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 2.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7409, kappa: 0.4831, kb_relative_information_score: 618.1473, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7441, predictive_accuracy: 0.7415, prior_entropy: 1, recall: 0.7415, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8576, scimark_benchmark: 1862.82, usercpu_time_millis: 8.593, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 8.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 183.2384, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9648, scimark_benchmark: 1855.2129, usercpu_time_millis: 24.537, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 23.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.6223, kappa: 0.2462, kb_relative_information_score: 256.9983, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6241, predictive_accuracy: 0.6231, prior_entropy: 1, recall: 0.6231, 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: 1858.0824, usercpu_time_millis: 23.4, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 22.735,
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: 1739.8246, usercpu_time_millis: 5.632, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 4.646,
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: 1856.6531, usercpu_time_millis: 5.087, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 4.166,
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: 1738.6081, usercpu_time_millis: 2.511, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 2.085,
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: 1857.5664, usercpu_time_millis: 4.056, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 3.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7221, kappa: 0.4477, kb_relative_information_score: 526.8022, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7296, predictive_accuracy: 0.7238, prior_entropy: 1, recall: 0.7238, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8768, scimark_benchmark: 1849.408, usercpu_time_millis: 28.026, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 27.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6499, kappa: 0.3023, kb_relative_information_score: 279.8799, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6533, predictive_accuracy: 0.6512, prior_entropy: 1, recall: 0.6512, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.468, root_relative_squared_error: 0.936, scimark_benchmark: 1815.141, usercpu_time_millis: 13.366, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 12.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6107, kappa: 0.2215, kb_relative_information_score: 202.3414, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9602, scimark_benchmark: 1747.3369, usercpu_time_millis: 8.944, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 8.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.6924, kappa: 0.3885, kb_relative_information_score: 384.5218, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6989, predictive_accuracy: 0.6942, prior_entropy: 1, recall: 0.6942, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.456, root_relative_squared_error: 0.912, scimark_benchmark: 1851.9456, usercpu_time_millis: 38.472, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 37.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7117, kappa: 0.4269, kb_relative_information_score: 417.6618, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7189, predictive_accuracy: 0.7135, prior_entropy: 1, recall: 0.7135, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8993, scimark_benchmark: 1856.6531, usercpu_time_millis: 11.048, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 10.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6136, kappa: 0.2277, kb_relative_information_score: 186.8171, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6141, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9693, scimark_benchmark: 1846.8309, usercpu_time_millis: 29.713, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 29.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7311, kappa: 0.4646, kb_relative_information_score: 579.4883, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7365, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.432, root_relative_squared_error: 0.864, scimark_benchmark: 1847.7616, usercpu_time_millis: 13, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 12.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6076, kappa: 0.2154, kb_relative_information_score: 129.4972, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6078, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9713, scimark_benchmark: 1837.1902, usercpu_time_millis: 14.788, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 13.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.6356, kappa: 0.2715, kb_relative_information_score: 122.6106, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.636, predictive_accuracy: 0.6358, prior_entropy: 1, recall: 0.6358, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9693, scimark_benchmark: 1852.9259, usercpu_time_millis: 25.519, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 23.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.6238, kappa: 0.2485, kb_relative_information_score: 258.8491, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6248, predictive_accuracy: 0.6242, prior_entropy: 1, recall: 0.6242, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9448, scimark_benchmark: 1856.125, usercpu_time_millis: 53.748, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 52.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.6144, kappa: 0.2292, kb_relative_information_score: 202.1748, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6148, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9631, scimark_benchmark: 1849.9303, usercpu_time_millis: 22.249, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 21.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6661, kappa: 0.3331, kb_relative_information_score: 233.7378, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6675, predictive_accuracy: 0.6665, prior_entropy: 1, recall: 0.6665, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9431, scimark_benchmark: 1857.5664, usercpu_time_millis: 11.663, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 11.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.6506, kappa: 0.3031, kb_relative_information_score: 237.202, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6533, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9438, scimark_benchmark: 1846.9558, usercpu_time_millis: 38.444, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 37.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6156, kappa: 0.2315, kb_relative_information_score: 188.3209, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.616, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 1746.9312, usercpu_time_millis: 15.549, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 15.097,
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: 2104.0068, usercpu_time_millis: 4.003, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 3.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.6171, kappa: 0.2346, kb_relative_information_score: 149.7821, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6175, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1859.1356, usercpu_time_millis: 13.155, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 12.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6483, kappa: 0.2992, kb_relative_information_score: 288.6082, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6519, predictive_accuracy: 0.6496, prior_entropy: 1, recall: 0.6496, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9348, scimark_benchmark: 1857.1691, usercpu_time_millis: 40.641, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 39.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.6384, kappa: 0.2777, kb_relative_information_score: 168.5752, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6395, predictive_accuracy: 0.6388, prior_entropy: 1, recall: 0.6388, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9579, scimark_benchmark: 1857.6243, usercpu_time_millis: 62.783, usercpu_time_millis_testing: 2.974, usercpu_time_millis_training: 59.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6634, kappa: 0.3277, kb_relative_information_score: 202.6202, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6648, predictive_accuracy: 0.6638, prior_entropy: 1, recall: 0.6638, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9496, scimark_benchmark: 1848.321, usercpu_time_millis: 23.834, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 22.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7125, kappa: 0.4285, kb_relative_information_score: 409.2033, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7194, predictive_accuracy: 0.7142, prior_entropy: 1, recall: 0.7142, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9007, scimark_benchmark: 1852.9259, usercpu_time_millis: 48.202, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 47.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6864, kappa: 0.3746, kb_relative_information_score: 304.9532, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6894, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9258, scimark_benchmark: 1843.3864, usercpu_time_millis: 21.448, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 20.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.6957, kappa: 0.3938, kb_relative_information_score: 285.8514, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7002, predictive_accuracy: 0.6969, prior_entropy: 1, recall: 0.6969, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9277, scimark_benchmark: 1853.9849, usercpu_time_millis: 42.456, usercpu_time_millis_testing: 1.723, usercpu_time_millis_training: 40.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7216, kappa: 0.4454, kb_relative_information_score: 592.683, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7262, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.865, scimark_benchmark: 1852.4008, usercpu_time_millis: 35.602, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 35.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7862, kappa: 0.5731, kb_relative_information_score: 746.814, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7885, predictive_accuracy: 0.7865, prior_entropy: 1, recall: 0.7865, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, scimark_benchmark: 1763.4074, usercpu_time_millis: 56.078, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 55.744,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8496, kappa: 0.6992, kb_relative_information_score: 1301.6002, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 1, recall: 0.8496, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6862, scimark_benchmark: 1858.0974, usercpu_time_millis: 89.826, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 89.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7913, kappa: 0.5831, kb_relative_information_score: 737.9489, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7929, predictive_accuracy: 0.7915, prior_entropy: 1, recall: 0.7915, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8152, scimark_benchmark: 1743.2201, usercpu_time_millis: 148.469, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 147.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6919, kappa: 0.3877, kb_relative_information_score: 407.0537, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6989, predictive_accuracy: 0.6938, prior_entropy: 1, recall: 0.6938, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9158, scimark_benchmark: 1856.0123, usercpu_time_millis: 156.884, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 155.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7202, kappa: 0.4408, kb_relative_information_score: 655.7567, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7211, predictive_accuracy: 0.7204, prior_entropy: 1, recall: 0.7204, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8575, scimark_benchmark: 1858.6076, usercpu_time_millis: 185.572, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 184.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.6711, kappa: 0.3508, kb_relative_information_score: 459.9362, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.685, predictive_accuracy: 0.6754, prior_entropy: 1, recall: 0.6754, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9033, scimark_benchmark: 1850.4154, usercpu_time_millis: 179.098, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 178.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7885, kappa: 0.5769, kb_relative_information_score: 841.8594, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7885, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8014, scimark_benchmark: 1846.8309, usercpu_time_millis: 200.732, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 200.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7238, kappa: 0.4508, kb_relative_information_score: 580.4051, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7308, predictive_accuracy: 0.7254, prior_entropy: 1, recall: 0.7254, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8717, scimark_benchmark: 1830.0958, usercpu_time_millis: 239.485, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 238.446,
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: 1851.827, usercpu_time_millis: 2.55, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.104,
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: 1847.2753, usercpu_time_millis: 5.291, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 4.338,
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: 1850.4554, usercpu_time_millis: 2.044, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.677,
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: 1860.2646, usercpu_time_millis: 3.737, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 3.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.6796, kappa: 0.3608, kb_relative_information_score: 380.7673, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6821, predictive_accuracy: 0.6804, prior_entropy: 1, recall: 0.6804, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9142, scimark_benchmark: 1745.2403, usercpu_time_millis: 10.319, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 9.903,
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: 1844.7928, usercpu_time_millis: 2.616, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 2.165,
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: 1853.0716, usercpu_time_millis: 4.107, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 3.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.6378, kappa: 0.2769, kb_relative_information_score: 304.4282, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6395, predictive_accuracy: 0.6385, prior_entropy: 1, recall: 0.6385, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9396, scimark_benchmark: 1854.6195, usercpu_time_millis: 2.278, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 1.931,
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: 1850.2875, usercpu_time_millis: 3.435, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 2.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 171.6399, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6161, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9657, scimark_benchmark: 1846.6056, usercpu_time_millis: 28.704, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 27.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6152, kappa: 0.2308, kb_relative_information_score: 189.895, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6156, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9682, scimark_benchmark: 1846.0937, usercpu_time_millis: 4.629, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 4.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.613, kappa: 0.2262, kb_relative_information_score: 168.7758, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6132, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9668, scimark_benchmark: 1855.5511, usercpu_time_millis: 35.406, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 34.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8154, kappa: 0.6308, kb_relative_information_score: 937.2947, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8154, predictive_accuracy: 0.8154, prior_entropy: 1, recall: 0.8154, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7671, scimark_benchmark: 1850.9652, usercpu_time_millis: 14.085, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 13.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.6167, kappa: 0.2338, kb_relative_information_score: 194.7651, mean_absolute_error: 0.4708, 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: 0.9415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9626, scimark_benchmark: 1855.0232, usercpu_time_millis: 3.615, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 3.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.6095, kappa: 0.2192, kb_relative_information_score: 167.0721, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6097, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9677, scimark_benchmark: 1859.1356, usercpu_time_millis: 6.276, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 5.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6062, kappa: 0.2131, kb_relative_information_score: 97.5838, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6069, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9765, scimark_benchmark: 1853.454, usercpu_time_millis: 9.05, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 8.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.5892, kappa: 0.1785, kb_relative_information_score: 26.7811, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5892, predictive_accuracy: 0.5892, prior_entropy: 1, recall: 0.5892, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1820.5148, usercpu_time_millis: 2.093, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.6966, kappa: 0.3962, kb_relative_information_score: 422.4283, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7021, predictive_accuracy: 0.6981, prior_entropy: 1, recall: 0.6981, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9073, scimark_benchmark: 1844.8151, usercpu_time_millis: 122.147, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 121.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.6852, kappa: 0.3777, kb_relative_information_score: 374.1936, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6981, predictive_accuracy: 0.6888, prior_entropy: 1, recall: 0.6888, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9224, scimark_benchmark: 1744.6016, usercpu_time_millis: 85.083, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 84.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7316, kappa: 0.4662, kb_relative_information_score: 433.3334, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7385, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8914, scimark_benchmark: 1850.2875, usercpu_time_millis: 87.243, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 85.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6699, kappa: 0.3469, kb_relative_information_score: 432.5335, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6813, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9151, scimark_benchmark: 1744.6645, usercpu_time_millis: 92.201, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 91.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7897, kappa: 0.58, kb_relative_information_score: 725.0309, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7919, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8196, scimark_benchmark: 1847.4649, usercpu_time_millis: 96.985, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 96.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6843, kappa: 0.3723, kb_relative_information_score: 500.6012, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6906, predictive_accuracy: 0.6862, prior_entropy: 1, recall: 0.6862, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.8975, scimark_benchmark: 1833.5632, usercpu_time_millis: 130.486, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 129.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7335, kappa: 0.47, kb_relative_information_score: 435.0041, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7403, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.891, scimark_benchmark: 1859.1356, usercpu_time_millis: 113.959, usercpu_time_millis_testing: 2.226, usercpu_time_millis_training: 111.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7086, kappa: 0.4215, kb_relative_information_score: 465.3215, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7173, predictive_accuracy: 0.7108, prior_entropy: 1, recall: 0.7108, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8931, scimark_benchmark: 1848.4621, usercpu_time_millis: 129.257, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 127.943,

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