Task
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: 0.6602, f_measure: 0.5969, kappa: 0.1938, kb_relative_information_score: 39.7933, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.597, predictive_accuracy: 0.5969, prior_entropy: 1, recall: 0.5969, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9897, scimark_benchmark: 1249.4263, usercpu_time_millis: 55.976, usercpu_time_millis_testing: 4.764, usercpu_time_millis_training: 51.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6631, kappa: 0.3277, kb_relative_information_score: 211.3258, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6653, predictive_accuracy: 0.6638, prior_entropy: 1, recall: 0.6638, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9463, scimark_benchmark: 1266.8615, usercpu_time_millis: 137.962, usercpu_time_millis_testing: 4.367, usercpu_time_millis_training: 133.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7298, kappa: 0.4623, kb_relative_information_score: 393.9503, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7357, predictive_accuracy: 0.7312, prior_entropy: 1, recall: 0.7312, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9005, scimark_benchmark: 1239.7821, usercpu_time_millis: 82.989, usercpu_time_millis_testing: 2.534, usercpu_time_millis_training: 80.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7214, kappa: 0.4454, kb_relative_information_score: 339.669, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.727, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9132, scimark_benchmark: 1245.8699, usercpu_time_millis: 463.4, usercpu_time_millis_testing: 9.22, usercpu_time_millis_training: 454.18,
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: 1227.7704, usercpu_time_millis: 12.557, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 11.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.6752, kappa: 0.3531, kb_relative_information_score: 286.3805, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6794, predictive_accuracy: 0.6765, prior_entropy: 1, recall: 0.6765, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9295, scimark_benchmark: 1239.5393, usercpu_time_millis: 94.201, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 91.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.5655, kappa: 0.1331, kb_relative_information_score: 43.5006, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5672, predictive_accuracy: 0.5665, prior_entropy: 1, recall: 0.5665, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1331.8784, usercpu_time_millis: 9583.938, usercpu_time_millis_testing: 8.358, usercpu_time_millis_training: 9575.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.6721, kappa: 0.3454, kb_relative_information_score: 229.1965, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.674, predictive_accuracy: 0.6727, prior_entropy: 1, recall: 0.6727, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9421, scimark_benchmark: 1265.883, usercpu_time_millis: 218.925, usercpu_time_millis_testing: 7.895, usercpu_time_millis_training: 211.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 119.0225, mean_absolute_error: 0.4828, 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: 0.9655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9718, scimark_benchmark: 1264.9202, usercpu_time_millis: 16.782, usercpu_time_millis_testing: 1.427, usercpu_time_millis_training: 15.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8101, kappa: 0.6208, kb_relative_information_score: 709.7847, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8126, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8122, scimark_benchmark: 1246.585, usercpu_time_millis: 1215.464, usercpu_time_millis_testing: 14.957, usercpu_time_millis_training: 1200.507,
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: 1268.1562, usercpu_time_millis: 20.528, usercpu_time_millis_testing: 2.568, usercpu_time_millis_training: 17.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6184, kappa: 0.2369, kb_relative_information_score: 152.8784, mean_absolute_error: 0.4778, 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: 0.9555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9625, scimark_benchmark: 1257.7248, usercpu_time_millis: 51.527, usercpu_time_millis_testing: 2.371, usercpu_time_millis_training: 49.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.6107, kappa: 0.2215, kb_relative_information_score: 32.4209, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6109, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1261.0435, usercpu_time_millis: 22.533, usercpu_time_millis_testing: 2.047, usercpu_time_millis_training: 20.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6268, kappa: 0.2538, kb_relative_information_score: 142.2683, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6271, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9647, scimark_benchmark: 1263.7584, usercpu_time_millis: 66.023, usercpu_time_millis_testing: 3.715, usercpu_time_millis_training: 62.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7051, kappa: 0.4131, kb_relative_information_score: 330.3397, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7105, predictive_accuracy: 0.7065, prior_entropy: 1, recall: 0.7065, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9174, scimark_benchmark: 1255.6367, usercpu_time_millis: 253.197, usercpu_time_millis_testing: 5.425, usercpu_time_millis_training: 247.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7254, kappa: 0.4538, kb_relative_information_score: 408.8376, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.732, predictive_accuracy: 0.7269, prior_entropy: 1, recall: 0.7269, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8973, scimark_benchmark: 1243.7617, usercpu_time_millis: 145.907, usercpu_time_millis_testing: 3.47, usercpu_time_millis_training: 142.437,
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: 1262.3073, usercpu_time_millis: 16.523, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 14.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.6792, kappa: 0.3585, kb_relative_information_score: 665.4427, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6793, predictive_accuracy: 0.6792, prior_entropy: 1, recall: 0.6792, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9154, scimark_benchmark: 1233.9921, usercpu_time_millis: 24.786, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 23.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 1027.4421, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8346, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7404, scimark_benchmark: 1268.3974, usercpu_time_millis: 3828.468, usercpu_time_millis_testing: 7.016, usercpu_time_millis_training: 3821.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.81, kappa: 0.62, kb_relative_information_score: 1057.2622, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8103, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7561, scimark_benchmark: 1262.72, usercpu_time_millis: 40.076, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 38.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7213, kappa: 0.4454, kb_relative_information_score: 386.2591, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7273, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9029, scimark_benchmark: 1275.4182, usercpu_time_millis: 302.542, usercpu_time_millis_testing: 6.174, usercpu_time_millis_training: 296.368,
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: 1268.9813, usercpu_time_millis: 21.636, usercpu_time_millis_testing: 2.478, usercpu_time_millis_training: 19.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.6273, kappa: 0.2554, kb_relative_information_score: 191.3042, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6283, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9542, scimark_benchmark: 1249.4692, usercpu_time_millis: 17.476, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 16.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6234, kappa: 0.2469, kb_relative_information_score: 46.4239, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6235, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9881, scimark_benchmark: 1261.1899, usercpu_time_millis: 28.882, usercpu_time_millis_testing: 2.424, usercpu_time_millis_training: 26.458,
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: 1265.1606, usercpu_time_millis: 26.105, usercpu_time_millis_testing: 3.095, usercpu_time_millis_training: 23.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7158, kappa: 0.4346, kb_relative_information_score: 359.6259, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7221, predictive_accuracy: 0.7173, prior_entropy: 1, recall: 0.7173, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9099, scimark_benchmark: 1239.4137, usercpu_time_millis: 231.009, usercpu_time_millis_testing: 5.25, usercpu_time_millis_training: 225.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.6177, kappa: 0.2354, kb_relative_information_score: 67.385, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.983, scimark_benchmark: 1266.6947, usercpu_time_millis: 81.155, usercpu_time_millis_testing: 5.603, usercpu_time_millis_training: 75.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.5942, kappa: 0.1885, kb_relative_information_score: 34.7872, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5943, predictive_accuracy: 0.5942, prior_entropy: 1, recall: 0.5942, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1255.3474, usercpu_time_millis: 43.459, usercpu_time_millis_testing: 3.422, usercpu_time_millis_training: 40.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7223, kappa: 0.4477, kb_relative_information_score: 367.5413, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7291, predictive_accuracy: 0.7238, prior_entropy: 1, recall: 0.7238, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9068, scimark_benchmark: 1247.755, usercpu_time_millis: 278.987, usercpu_time_millis_testing: 5.099, usercpu_time_millis_training: 273.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.6761, kappa: 0.3538, kb_relative_information_score: 234.3047, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6788, predictive_accuracy: 0.6769, prior_entropy: 1, recall: 0.6769, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9402, scimark_benchmark: 1258.4644, usercpu_time_millis: 401.741, usercpu_time_millis_testing: 11.431, usercpu_time_millis_training: 390.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.6685, kappa: 0.3385, kb_relative_information_score: 228.1905, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6707, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9428, scimark_benchmark: 1274.7983, usercpu_time_millis: 227.767, usercpu_time_millis_testing: 7.866, usercpu_time_millis_training: 219.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.6818, kappa: 0.3638, kb_relative_information_score: 316.0961, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6821, predictive_accuracy: 0.6819, prior_entropy: 1, recall: 0.6819, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9268, scimark_benchmark: 1267.7774, usercpu_time_millis: 26.847, usercpu_time_millis_testing: 1.725, usercpu_time_millis_training: 25.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7733, kappa: 0.5485, kb_relative_information_score: 569.021, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7787, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8515, scimark_benchmark: 1269.3478, usercpu_time_millis: 870.737, usercpu_time_millis_testing: 13.93, usercpu_time_millis_training: 856.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.6381, kappa: 0.2769, kb_relative_information_score: 152.0532, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6391, predictive_accuracy: 0.6385, prior_entropy: 1, recall: 0.6385, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9623, scimark_benchmark: 1264.7176, usercpu_time_millis: 92.79, usercpu_time_millis_testing: 4.9, usercpu_time_millis_training: 87.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6388, kappa: 0.2785, kb_relative_information_score: 172.918, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6399, predictive_accuracy: 0.6392, prior_entropy: 1, recall: 0.6392, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9564, scimark_benchmark: 1265.5134, usercpu_time_millis: 172.02, usercpu_time_millis_testing: 7.001, usercpu_time_millis_training: 165.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.6627, kappa: 0.3269, kb_relative_information_score: 220.0732, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.665, predictive_accuracy: 0.6635, prior_entropy: 1, recall: 0.6635, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9448, scimark_benchmark: 1272.4049, usercpu_time_millis: 185.259, usercpu_time_millis_testing: 6.708, usercpu_time_millis_training: 178.551,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8133, kappa: 0.6269, kb_relative_information_score: 871.7646, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8144, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7845, scimark_benchmark: 1283.1557, usercpu_time_millis: 6198.667, usercpu_time_millis_testing: 9.309, usercpu_time_millis_training: 6189.358,
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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: 1244.6095, usercpu_time_millis: 20.126, usercpu_time_millis_testing: 2.797, usercpu_time_millis_training: 17.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7008, kappa: 0.4038, kb_relative_information_score: 344.7182, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.705, predictive_accuracy: 0.7019, prior_entropy: 1, recall: 0.7019, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9146, scimark_benchmark: 1259.8581, usercpu_time_millis: 54.582, usercpu_time_millis_testing: 1.747, usercpu_time_millis_training: 52.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.6549, kappa: 0.3108, kb_relative_information_score: 194.4763, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6563, predictive_accuracy: 0.6554, prior_entropy: 1, recall: 0.6554, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9507, scimark_benchmark: 1251.6096, usercpu_time_millis: 51.138, usercpu_time_millis_testing: 2.235, usercpu_time_millis_training: 48.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6036, kappa: 0.2077, kb_relative_information_score: 72.4276, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6041, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.491, root_relative_squared_error: 0.982, scimark_benchmark: 1259.846, usercpu_time_millis: 18.86, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 17.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7797, kappa: 0.5608, kb_relative_information_score: 601.8597, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7837, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8436, scimark_benchmark: 1237.571, usercpu_time_millis: 174.088, usercpu_time_millis_testing: 2.899, usercpu_time_millis_training: 171.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.5792, kappa: 0.1585, kb_relative_information_score: 8.4994, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1253.3273, usercpu_time_millis: 17.999, usercpu_time_millis_testing: 1.857, usercpu_time_millis_training: 16.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7252, kappa: 0.4515, kb_relative_information_score: 378.3507, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7278, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9029, scimark_benchmark: 1252.9527, usercpu_time_millis: 156.744, usercpu_time_millis_testing: 4.318, usercpu_time_millis_training: 152.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.598, kappa: 0.1962, kb_relative_information_score: 9.2338, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5982, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1258.0205, usercpu_time_millis: 20.826, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 18.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7392, kappa: 0.4808, kb_relative_information_score: 432.3225, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7448, predictive_accuracy: 0.7404, prior_entropy: 1, recall: 0.7404, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8886, scimark_benchmark: 1234.5652, usercpu_time_millis: 648.852, usercpu_time_millis_testing: 12.741, usercpu_time_millis_training: 636.111,
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: 1.0001, scimark_benchmark: 1241.9697, usercpu_time_millis: 8.969, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 8.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.6972, kappa: 0.3969, kb_relative_information_score: 295.8856, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7018, predictive_accuracy: 0.6985, prior_entropy: 1, recall: 0.6985, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9254, scimark_benchmark: 1257.7337, usercpu_time_millis: 374.443, usercpu_time_millis_testing: 9.761, usercpu_time_millis_training: 364.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7109, kappa: 0.4246, kb_relative_information_score: 345.1154, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7165, predictive_accuracy: 0.7123, prior_entropy: 1, recall: 0.7123, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9133, scimark_benchmark: 1251.7791, usercpu_time_millis: 420.293, usercpu_time_millis_testing: 7.998, usercpu_time_millis_training: 412.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.7933, kappa: 0.5877, kb_relative_information_score: 643.5838, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7968, predictive_accuracy: 0.7938, prior_entropy: 1, recall: 0.7938, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8302, scimark_benchmark: 1236.8214, usercpu_time_millis: 412.563, usercpu_time_millis_testing: 5.279, usercpu_time_millis_training: 407.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.6991, kappa: 0.4008, kb_relative_information_score: 331.0146, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7039, predictive_accuracy: 0.7004, prior_entropy: 1, recall: 0.7004, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9178, scimark_benchmark: 1248.6763, usercpu_time_millis: 49.396, usercpu_time_millis_testing: 1.578, usercpu_time_millis_training: 47.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6145, kappa: 0.2292, kb_relative_information_score: 99.9078, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9748, scimark_benchmark: 1247.9502, usercpu_time_millis: 53.448, usercpu_time_millis_testing: 3.2, usercpu_time_millis_training: 50.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.5661, kappa: 0.1323, kb_relative_information_score: 34.4324, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, recall: 0.5662, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1264.229, usercpu_time_millis: 14.483, usercpu_time_millis_testing: 1.366, usercpu_time_millis_training: 13.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6522, kappa: 0.3069, kb_relative_information_score: 220.9121, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6557, predictive_accuracy: 0.6535, prior_entropy: 1, recall: 0.6535, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9454, scimark_benchmark: 1253.1031, usercpu_time_millis: 280.29, usercpu_time_millis_testing: 8.184, usercpu_time_millis_training: 272.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7166, kappa: 0.4354, kb_relative_information_score: 361.4016, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7212, predictive_accuracy: 0.7177, prior_entropy: 1, recall: 0.7177, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9082, scimark_benchmark: 1248.7733, usercpu_time_millis: 144.121, usercpu_time_millis_testing: 3.654, usercpu_time_millis_training: 140.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7355, kappa: 0.4738, kb_relative_information_score: 415.7186, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7423, predictive_accuracy: 0.7369, prior_entropy: 1, recall: 0.7369, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8942, scimark_benchmark: 1230.1741, usercpu_time_millis: 184.351, usercpu_time_millis_testing: 3.268, usercpu_time_millis_training: 181.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7367, kappa: 0.4762, kb_relative_information_score: 443.6749, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7431, predictive_accuracy: 0.7381, prior_entropy: 1, recall: 0.7381, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8873, scimark_benchmark: 1264.102, usercpu_time_millis: 187.448, usercpu_time_millis_testing: 3.693, usercpu_time_millis_training: 183.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 27.9677, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6039, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1247.2602, usercpu_time_millis: 34.534, usercpu_time_millis_testing: 3.021, usercpu_time_millis_training: 31.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6641, kappa: 0.3292, kb_relative_information_score: 194.0932, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6657, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9509, scimark_benchmark: 1240.671, usercpu_time_millis: 185.727, usercpu_time_millis_testing: 6.55, usercpu_time_millis_training: 179.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6049, kappa: 0.21, kb_relative_information_score: 76.9632, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6051, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.981, scimark_benchmark: 1229.2242, usercpu_time_millis: 24.611, usercpu_time_millis_testing: 2.054, usercpu_time_millis_training: 22.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7384, kappa: 0.4785, kb_relative_information_score: 400.3175, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7425, predictive_accuracy: 0.7392, prior_entropy: 1, recall: 0.7392, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8984, scimark_benchmark: 1227.0843, usercpu_time_millis: 166.179, usercpu_time_millis_testing: 3.502, usercpu_time_millis_training: 162.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7493, kappa: 0.5008, kb_relative_information_score: 461.449, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7549, predictive_accuracy: 0.7504, prior_entropy: 1, recall: 0.7504, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8803, scimark_benchmark: 1238.5317, usercpu_time_millis: 559.19, usercpu_time_millis_testing: 10.259, usercpu_time_millis_training: 548.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6191, kappa: 0.2385, kb_relative_information_score: 167.9111, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6194, predictive_accuracy: 0.6192, prior_entropy: 1, recall: 0.6192, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.959, scimark_benchmark: 1245.5958, usercpu_time_millis: 42.859, usercpu_time_millis_testing: 1.949, usercpu_time_millis_training: 40.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.6708, kappa: 0.3423, kb_relative_information_score: 201.1664, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.672, predictive_accuracy: 0.6712, prior_entropy: 1, recall: 0.6712, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9487, scimark_benchmark: 1245.1782, usercpu_time_millis: 285.074, usercpu_time_millis_testing: 11.336, usercpu_time_millis_training: 273.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6065, kappa: 0.2131, kb_relative_information_score: 20.3506, mean_absolute_error: 0.4972, 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: 0.9945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 1247.4497, usercpu_time_millis: 32.042, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 28.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.6403, kappa: 0.2815, kb_relative_information_score: 187.338, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6415, predictive_accuracy: 0.6408, prior_entropy: 1, recall: 0.6408, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9532, scimark_benchmark: 1240.9594, usercpu_time_millis: 135.149, usercpu_time_millis_testing: 5.998, usercpu_time_millis_training: 129.151,

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