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: 0.8382, f_measure: 0.7513, kappa: 0.5046, kb_relative_information_score: 499.4164, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7566, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8723, scimark_benchmark: 1245.7309, usercpu_time_millis: 117.515, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 114.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6589, kappa: 0.3192, kb_relative_information_score: 244.4159, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6609, predictive_accuracy: 0.6596, prior_entropy: 1, recall: 0.6596, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9396, scimark_benchmark: 1259.3857, usercpu_time_millis: 112.913, usercpu_time_millis_testing: 3.552, usercpu_time_millis_training: 109.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.6127, kappa: 0.2254, kb_relative_information_score: 68.0152, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6127, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9829, scimark_benchmark: 1253.0417, usercpu_time_millis: 149.948, usercpu_time_millis_testing: 11.043, usercpu_time_millis_training: 138.905,
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: 1265.7973, usercpu_time_millis: 29.569, usercpu_time_millis_testing: 3.405, usercpu_time_millis_training: 26.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7298, kappa: 0.4623, kb_relative_information_score: 360.2324, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.736, predictive_accuracy: 0.7312, prior_entropy: 1, recall: 0.7312, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9074, scimark_benchmark: 1237.3356, usercpu_time_millis: 614.867, usercpu_time_millis_testing: 12.426, usercpu_time_millis_training: 602.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.6341, kappa: 0.2685, kb_relative_information_score: 162.5434, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6344, predictive_accuracy: 0.6342, prior_entropy: 1, recall: 0.6342, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9608, scimark_benchmark: 1253.904, usercpu_time_millis: 33.913, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 31.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6706, kappa: 0.3431, kb_relative_information_score: 228.8827, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6736, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.472, root_relative_squared_error: 0.944, scimark_benchmark: 1255.9763, usercpu_time_millis: 23.939, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 22.403,
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: 1249.9262, usercpu_time_millis: 21.977, usercpu_time_millis_testing: 2.657, usercpu_time_millis_training: 19.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7216, kappa: 0.4462, kb_relative_information_score: 337.0656, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7279, predictive_accuracy: 0.7231, prior_entropy: 1, recall: 0.7231, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9135, scimark_benchmark: 1250.3659, usercpu_time_millis: 586.851, usercpu_time_millis_testing: 11.866, usercpu_time_millis_training: 574.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.6513, kappa: 0.3038, kb_relative_information_score: 218.4001, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.653, predictive_accuracy: 0.6519, prior_entropy: 1, recall: 0.6519, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9456, scimark_benchmark: 1252.7451, usercpu_time_millis: 71.911, usercpu_time_millis_testing: 3.403, usercpu_time_millis_training: 68.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.5706, kappa: 0.1577, kb_relative_information_score: 271.8166, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5854, predictive_accuracy: 0.5788, prior_entropy: 1, recall: 0.5788, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.007, scimark_benchmark: 1249.6961, usercpu_time_millis: 10.74, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 9.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.6246, kappa: 0.2492, kb_relative_information_score: 150.7127, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6247, predictive_accuracy: 0.6246, prior_entropy: 1, recall: 0.6246, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9625, scimark_benchmark: 1254.3762, usercpu_time_millis: 67.724, usercpu_time_millis_testing: 3.708, usercpu_time_millis_training: 64.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.737, kappa: 0.4769, kb_relative_information_score: 436.5332, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7439, predictive_accuracy: 0.7385, prior_entropy: 1, recall: 0.7385, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8892, scimark_benchmark: 1242.9698, usercpu_time_millis: 406.17, usercpu_time_millis_testing: 7.32, usercpu_time_millis_training: 398.85,
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: 1242.4609, usercpu_time_millis: 24.427, usercpu_time_millis_testing: 2.895, usercpu_time_millis_training: 21.532,
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: 1258.1364, usercpu_time_millis: 13.801, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 12.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.6331, kappa: 0.2669, kb_relative_information_score: 133.8637, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.634, predictive_accuracy: 0.6335, prior_entropy: 1, recall: 0.6335, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9661, scimark_benchmark: 1267.8997, usercpu_time_millis: 122.902, usercpu_time_millis_testing: 6.421, usercpu_time_millis_training: 116.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6503, kappa: 0.3015, kb_relative_information_score: 168.9002, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6515, predictive_accuracy: 0.6508, prior_entropy: 1, recall: 0.6508, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9573, scimark_benchmark: 1268.7522, usercpu_time_millis: 116.576, usercpu_time_millis_testing: 4.468, usercpu_time_millis_training: 112.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7109, kappa: 0.4246, kb_relative_information_score: 325.6716, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7166, predictive_accuracy: 0.7123, prior_entropy: 1, recall: 0.7123, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9175, scimark_benchmark: 1247.2526, usercpu_time_millis: 490.725, usercpu_time_millis_testing: 11.585, usercpu_time_millis_training: 479.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7166, kappa: 0.4362, kb_relative_information_score: 324.2601, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7227, predictive_accuracy: 0.7181, prior_entropy: 1, recall: 0.7181, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9173, scimark_benchmark: 1243.5403, usercpu_time_millis: 321.912, usercpu_time_millis_testing: 7.122, usercpu_time_millis_training: 314.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.6065, kappa: 0.2131, kb_relative_information_score: 108.0348, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6066, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9735, scimark_benchmark: 1260.3873, usercpu_time_millis: 47.833, usercpu_time_millis_testing: 3.443, usercpu_time_millis_training: 44.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.6891, kappa: 0.38, kb_relative_information_score: 252.2769, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6921, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9355, scimark_benchmark: 1240.4673, usercpu_time_millis: 119.817, usercpu_time_millis_testing: 4.774, usercpu_time_millis_training: 115.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.6825, kappa: 0.3662, kb_relative_information_score: 212.163, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6844, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9463, scimark_benchmark: 1262.5313, usercpu_time_millis: 105.778, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 102.173,
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: 1244.7589, usercpu_time_millis: 30.299, usercpu_time_millis_testing: 3.45, usercpu_time_millis_training: 26.849,
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: 1259.2989, usercpu_time_millis: 19.082, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 16.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.6649, kappa: 0.3315, kb_relative_information_score: 242.7944, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6675, predictive_accuracy: 0.6658, prior_entropy: 1, recall: 0.6658, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9402, scimark_benchmark: 1262.377, usercpu_time_millis: 20.477, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 19.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.6233, kappa: 0.2469, kb_relative_information_score: 155.9132, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6236, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9617, scimark_benchmark: 1260.298, usercpu_time_millis: 92.97, usercpu_time_millis_testing: 4.347, usercpu_time_millis_training: 88.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.6007, kappa: 0.2015, kb_relative_information_score: 79.9478, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6009, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 1234.8486, usercpu_time_millis: 17.939, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 16.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.6908, kappa: 0.3831, kb_relative_information_score: 316.6098, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6935, predictive_accuracy: 0.6915, prior_entropy: 1, recall: 0.6915, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9228, scimark_benchmark: 1263.338, usercpu_time_millis: 14.838, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 13.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7398, kappa: 0.4823, kb_relative_information_score: 395.3875, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7464, predictive_accuracy: 0.7412, prior_entropy: 1, recall: 0.7412, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.8977, scimark_benchmark: 1248.2963, usercpu_time_millis: 756.496, usercpu_time_millis_testing: 11.125, usercpu_time_millis_training: 745.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.6642, kappa: 0.33, kb_relative_information_score: 219.3433, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6666, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9446, scimark_benchmark: 1250.9039, usercpu_time_millis: 279.1, usercpu_time_millis_testing: 8.357, usercpu_time_millis_training: 270.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.6184, kappa: 0.2369, kb_relative_information_score: 57.2748, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6185, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9853, scimark_benchmark: 1245.4085, usercpu_time_millis: 148.937, usercpu_time_millis_testing: 9.981, usercpu_time_millis_training: 138.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6417, kappa: 0.2838, kb_relative_information_score: 149.3731, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6423, predictive_accuracy: 0.6419, prior_entropy: 1, recall: 0.6419, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9627, scimark_benchmark: 1256.514, usercpu_time_millis: 126.347, usercpu_time_millis_testing: 5.802, usercpu_time_millis_training: 120.545,
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: 1254.0025, usercpu_time_millis: 25.676, usercpu_time_millis_testing: 2.743, usercpu_time_millis_training: 22.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6072, kappa: 0.2146, kb_relative_information_score: 56.5356, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6074, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9858, scimark_benchmark: 1210.0099, usercpu_time_millis: 17.099, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 15.613,
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: 1256.9378, usercpu_time_millis: 14.752, usercpu_time_millis_testing: 1.523, usercpu_time_millis_training: 13.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6425, kappa: 0.2854, kb_relative_information_score: 124.1398, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.643, predictive_accuracy: 0.6427, prior_entropy: 1, recall: 0.6427, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9686, scimark_benchmark: 1262.9187, usercpu_time_millis: 250.366, usercpu_time_millis_testing: 13.263, usercpu_time_millis_training: 237.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.711, kappa: 0.4254, kb_relative_information_score: 366.3378, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7177, predictive_accuracy: 0.7127, prior_entropy: 1, recall: 0.7127, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9088, scimark_benchmark: 1227.278, usercpu_time_millis: 106.721, usercpu_time_millis_testing: 2.837, usercpu_time_millis_training: 103.884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 82.2186, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6173, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9794, scimark_benchmark: 1261.5689, usercpu_time_millis: 49.375, usercpu_time_millis_testing: 3.595, usercpu_time_millis_training: 45.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6013, kappa: 0.2031, kb_relative_information_score: 87.2985, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6018, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9787, scimark_benchmark: 1242.3101, usercpu_time_millis: 32.366, usercpu_time_millis_testing: 2.201, usercpu_time_millis_training: 30.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6638, kappa: 0.3285, kb_relative_information_score: 186.5121, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6652, predictive_accuracy: 0.6642, prior_entropy: 1, recall: 0.6642, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9529, scimark_benchmark: 1257.382, usercpu_time_millis: 116.96, usercpu_time_millis_testing: 5.215, usercpu_time_millis_training: 111.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.606, kappa: 0.2123, kb_relative_information_score: 87.479, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6063, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9786, scimark_benchmark: 1259.9139, usercpu_time_millis: 27.309, usercpu_time_millis_testing: 1.577, usercpu_time_millis_training: 25.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.6273, kappa: 0.2554, kb_relative_information_score: 198.1264, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6282, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9525, scimark_benchmark: 1260.928, usercpu_time_millis: 22.379, usercpu_time_millis_testing: 1.939, usercpu_time_millis_training: 20.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.6188, kappa: 0.2377, kb_relative_information_score: 185.5513, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.619, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9556, scimark_benchmark: 1246.7591, usercpu_time_millis: 99.828, usercpu_time_millis_testing: 4.361, usercpu_time_millis_training: 95.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.751, kappa: 0.5038, kb_relative_information_score: 434.2267, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7556, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8869, scimark_benchmark: 1266.6159, usercpu_time_millis: 380.648, usercpu_time_millis_testing: 7.895, usercpu_time_millis_training: 372.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6607, kappa: 0.3223, kb_relative_information_score: 170.6786, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6621, predictive_accuracy: 0.6612, prior_entropy: 1, recall: 0.6612, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9565, scimark_benchmark: 1257.733, usercpu_time_millis: 198.764, usercpu_time_millis_testing: 8.728, usercpu_time_millis_training: 190.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.6037, kappa: 0.2077, kb_relative_information_score: 82.6735, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.604, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9799, scimark_benchmark: 1249.0982, usercpu_time_millis: 39.592, usercpu_time_millis_testing: 3.268, usercpu_time_millis_training: 36.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.608, kappa: 0.2162, kb_relative_information_score: 64.0978, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6082, predictive_accuracy: 0.6081, prior_entropy: 1, recall: 0.6081, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9838, scimark_benchmark: 1250.742, usercpu_time_millis: 89.984, usercpu_time_millis_testing: 6.52, usercpu_time_millis_training: 83.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6429, kappa: 0.2869, kb_relative_information_score: 171.0285, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6443, predictive_accuracy: 0.6435, prior_entropy: 1, recall: 0.6435, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1226.8913, usercpu_time_millis: 30.857, usercpu_time_millis_testing: 2.09, usercpu_time_millis_training: 28.767,
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: 1256.8029, usercpu_time_millis: 31.232, usercpu_time_millis_testing: 3.209, usercpu_time_millis_training: 28.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6119, kappa: 0.2238, kb_relative_information_score: 32.5701, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.612, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9915, scimark_benchmark: 1235.6165, usercpu_time_millis: 57.513, usercpu_time_millis_testing: 5.182, usercpu_time_millis_training: 52.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.605, kappa: 0.21, kb_relative_information_score: 53.0463, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.605, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9865, scimark_benchmark: 1263.2855, usercpu_time_millis: 37.846, usercpu_time_millis_testing: 2.603, usercpu_time_millis_training: 35.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.5723, kappa: 0.1446, kb_relative_information_score: 31.5646, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5723, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1262.5266, usercpu_time_millis: 36.726, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 33.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 140.2431, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.966, scimark_benchmark: 1251.3708, usercpu_time_millis: 35.653, usercpu_time_millis_testing: 2.424, usercpu_time_millis_training: 33.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.5915, kappa: 0.1831, kb_relative_information_score: 6.3189, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5915, predictive_accuracy: 0.5915, prior_entropy: 1, recall: 0.5915, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9983, scimark_benchmark: 1252.6732, usercpu_time_millis: 30.347, usercpu_time_millis_testing: 4.967, usercpu_time_millis_training: 25.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6183, kappa: 0.2369, kb_relative_information_score: 105.1051, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6186, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9736, scimark_benchmark: 1243.2684, usercpu_time_millis: 30.463, usercpu_time_millis_testing: 2.492, usercpu_time_millis_training: 27.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6161, kappa: 0.2323, kb_relative_information_score: 56.3221, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6162, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9857, scimark_benchmark: 1269.0397, usercpu_time_millis: 137.823, usercpu_time_millis_testing: 10.411, usercpu_time_millis_training: 127.412,
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: 1246.5343, usercpu_time_millis: 14.975, usercpu_time_millis_testing: 1.848, usercpu_time_millis_training: 13.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6384, kappa: 0.2777, kb_relative_information_score: 166.8829, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6396, predictive_accuracy: 0.6388, prior_entropy: 1, recall: 0.6388, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9582, scimark_benchmark: 1248.3154, usercpu_time_millis: 100.295, usercpu_time_millis_testing: 5.189, usercpu_time_millis_training: 95.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6335, kappa: 0.2677, kb_relative_information_score: 114.7801, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6343, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.971, scimark_benchmark: 1264.9498, usercpu_time_millis: 99.6, usercpu_time_millis_testing: 6.45, usercpu_time_millis_training: 93.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7075, kappa: 0.4177, kb_relative_information_score: 316.3142, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7129, predictive_accuracy: 0.7088, prior_entropy: 1, recall: 0.7088, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9191, scimark_benchmark: 1234.5843, usercpu_time_millis: 499.241, usercpu_time_millis_testing: 10.652, usercpu_time_millis_training: 488.589,
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: 1255.7924, usercpu_time_millis: 21.397, usercpu_time_millis_testing: 2.541, usercpu_time_millis_training: 18.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.5927, kappa: 0.1854, kb_relative_information_score: 22.4369, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5927, predictive_accuracy: 0.5927, prior_entropy: 1, recall: 0.5927, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1266.8734, usercpu_time_millis: 17.566, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 15.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.6401, kappa: 0.2808, kb_relative_information_score: 177.9351, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6409, predictive_accuracy: 0.6404, prior_entropy: 1, recall: 0.6404, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9551, scimark_benchmark: 1265.1652, usercpu_time_millis: 129.534, usercpu_time_millis_testing: 6.13, usercpu_time_millis_training: 123.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.745, kappa: 0.4923, kb_relative_information_score: 442.2198, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7508, predictive_accuracy: 0.7462, prior_entropy: 1, recall: 0.7462, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8861, scimark_benchmark: 1242.2605, usercpu_time_millis: 257.537, usercpu_time_millis_testing: 5.012, usercpu_time_millis_training: 252.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6029, kappa: 0.2062, kb_relative_information_score: 91.9609, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6033, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9775, scimark_benchmark: 1248.2656, usercpu_time_millis: 59.819, usercpu_time_millis_testing: 3.824, usercpu_time_millis_training: 55.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.671, kappa: 0.3431, kb_relative_information_score: 206.6307, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6726, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.948, scimark_benchmark: 1238.4016, usercpu_time_millis: 52.647, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 50.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.615, kappa: 0.23, kb_relative_information_score: 174.2086, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.615, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9585, scimark_benchmark: 1242.4192, usercpu_time_millis: 112.212, usercpu_time_millis_testing: 4.443, usercpu_time_millis_training: 107.769,

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