OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1269.035, usercpu_time_millis: 18.651, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 16.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6107, kappa: 0.2215, kb_relative_information_score: 86.8811, mean_absolute_error: 0.4878, 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: 0.9755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9782, scimark_benchmark: 1239.4192, usercpu_time_millis: 91.965, usercpu_time_millis_testing: 5.708, usercpu_time_millis_training: 86.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6318, kappa: 0.2646, kb_relative_information_score: 149.9139, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.633, predictive_accuracy: 0.6323, prior_entropy: 1, recall: 0.6323, 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: 1257.8842, usercpu_time_millis: 96.743, usercpu_time_millis_testing: 5.407, usercpu_time_millis_training: 91.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.6595, kappa: 0.32, kb_relative_information_score: 204.9135, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.661, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.948, scimark_benchmark: 1263.4764, usercpu_time_millis: 158.408, usercpu_time_millis_testing: 5.912, usercpu_time_millis_training: 152.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.5994, kappa: 0.1992, kb_relative_information_score: 42.9913, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5998, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1248.959, usercpu_time_millis: 43.182, usercpu_time_millis_testing: 3.037, usercpu_time_millis_training: 40.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.6537, kappa: 0.3085, kb_relative_information_score: 226.2864, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6552, predictive_accuracy: 0.6542, prior_entropy: 1, recall: 0.6542, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9437, scimark_benchmark: 1261.8665, usercpu_time_millis: 141.107, usercpu_time_millis_testing: 4.136, usercpu_time_millis_training: 136.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.6346, kappa: 0.27, kb_relative_information_score: 134.5957, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6355, predictive_accuracy: 0.635, prior_entropy: 1, recall: 0.635, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9663, scimark_benchmark: 1256.7769, usercpu_time_millis: 138.789, usercpu_time_millis_testing: 5.932, usercpu_time_millis_training: 132.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7142, kappa: 0.4308, kb_relative_information_score: 365.1812, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.719, predictive_accuracy: 0.7154, prior_entropy: 1, recall: 0.7154, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9083, scimark_benchmark: 1261.8575, usercpu_time_millis: 122.142, usercpu_time_millis_testing: 3.021, usercpu_time_millis_training: 119.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7196, kappa: 0.4408, kb_relative_information_score: 318.2902, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.723, predictive_accuracy: 0.7204, prior_entropy: 1, recall: 0.7204, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9182, scimark_benchmark: 1242.0647, usercpu_time_millis: 422.961, usercpu_time_millis_testing: 11.567, usercpu_time_millis_training: 411.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7028, kappa: 0.4085, kb_relative_information_score: 320.7633, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7083, predictive_accuracy: 0.7042, prior_entropy: 1, recall: 0.7042, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9189, scimark_benchmark: 1260.8895, usercpu_time_millis: 455.867, usercpu_time_millis_testing: 11.808, usercpu_time_millis_training: 444.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.6418, kappa: 0.2846, kb_relative_information_score: 141.0342, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6431, predictive_accuracy: 0.6423, prior_entropy: 1, recall: 0.6423, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9646, scimark_benchmark: 1249.5265, usercpu_time_millis: 171.043, usercpu_time_millis_testing: 7.712, usercpu_time_millis_training: 163.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6506, kappa: 0.3015, kb_relative_information_score: 241.7329, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6511, predictive_accuracy: 0.6508, prior_entropy: 1, recall: 0.6508, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9439, scimark_benchmark: 1242.5899, usercpu_time_millis: 29.174, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 27.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.6054, kappa: 0.2108, kb_relative_information_score: 51.502, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6054, predictive_accuracy: 0.6054, prior_entropy: 1, recall: 0.6054, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 1236.4865, usercpu_time_millis: 27.941, usercpu_time_millis_testing: 2.424, usercpu_time_millis_training: 25.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6133, kappa: 0.2269, kb_relative_information_score: 37.9404, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6137, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9903, scimark_benchmark: 1258.906, usercpu_time_millis: 27.255, usercpu_time_millis_testing: 2.448, usercpu_time_millis_training: 24.807,
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: 1250.0467, usercpu_time_millis: 19.099, usercpu_time_millis_testing: 3.012, usercpu_time_millis_training: 16.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.743, kappa: 0.4885, kb_relative_information_score: 440.3576, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.749, predictive_accuracy: 0.7442, prior_entropy: 1, recall: 0.7442, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.887, scimark_benchmark: 1233.707, usercpu_time_millis: 323.757, usercpu_time_millis_testing: 7.289, usercpu_time_millis_training: 316.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6362, kappa: 0.2731, kb_relative_information_score: 171.9161, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.637, predictive_accuracy: 0.6365, prior_entropy: 1, recall: 0.6365, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9577, scimark_benchmark: 1238.9788, usercpu_time_millis: 234.947, usercpu_time_millis_testing: 9.45, usercpu_time_millis_training: 225.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7181, kappa: 0.4385, kb_relative_information_score: 374.0867, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.723, predictive_accuracy: 0.7192, prior_entropy: 1, recall: 0.7192, relative_absolute_error: 0.8858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9049, scimark_benchmark: 1257.5244, usercpu_time_millis: 339.564, usercpu_time_millis_testing: 7.128, usercpu_time_millis_training: 332.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7086, kappa: 0.4185, kb_relative_information_score: 311.3624, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7111, predictive_accuracy: 0.7092, prior_entropy: 1, recall: 0.7092, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9204, scimark_benchmark: 1247.6412, usercpu_time_millis: 172.705, usercpu_time_millis_testing: 4.978, usercpu_time_millis_training: 167.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.749, kappa: 0.5008, kb_relative_information_score: 467.8416, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7559, predictive_accuracy: 0.7504, prior_entropy: 1, recall: 0.7504, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8799, scimark_benchmark: 1258.8854, usercpu_time_millis: 608.885, usercpu_time_millis_testing: 10.632, usercpu_time_millis_training: 598.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.603, kappa: 0.2062, kb_relative_information_score: 51.5746, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6032, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9869, scimark_benchmark: 1258.751, usercpu_time_millis: 41.347, usercpu_time_millis_testing: 3.937, usercpu_time_millis_training: 37.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.6567, kappa: 0.3146, kb_relative_information_score: 186.1099, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6583, predictive_accuracy: 0.6573, prior_entropy: 1, recall: 0.6573, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9526, scimark_benchmark: 1221.2752, usercpu_time_millis: 309.818, usercpu_time_millis_testing: 14.304, usercpu_time_millis_training: 295.514,
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: 1239.7525, usercpu_time_millis: 32.091, usercpu_time_millis_testing: 3.185, usercpu_time_millis_training: 28.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7237, kappa: 0.45, kb_relative_information_score: 368.0903, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7294, predictive_accuracy: 0.725, prior_entropy: 1, recall: 0.725, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.906, scimark_benchmark: 1259.7981, usercpu_time_millis: 757.161, usercpu_time_millis_testing: 16.294, usercpu_time_millis_training: 740.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.6238, kappa: 0.2477, kb_relative_information_score: 50.9097, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6239, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9869, scimark_benchmark: 1256.0753, usercpu_time_millis: 97.071, usercpu_time_millis_testing: 7.341, usercpu_time_millis_training: 89.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.7565, kappa: 0.5154, kb_relative_information_score: 483.9081, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7627, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8751, scimark_benchmark: 1248.1437, usercpu_time_millis: 405.183, usercpu_time_millis_testing: 5.518, usercpu_time_millis_training: 399.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.6034, kappa: 0.2069, kb_relative_information_score: 130.4325, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6035, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.969, scimark_benchmark: 1257.1653, usercpu_time_millis: 49.051, usercpu_time_millis_testing: 2.818, usercpu_time_millis_training: 46.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 13.4536, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 1241.534, usercpu_time_millis: 38.749, usercpu_time_millis_testing: 4.302, usercpu_time_millis_training: 34.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7366, kappa: 0.4762, kb_relative_information_score: 426.508, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7434, predictive_accuracy: 0.7381, prior_entropy: 1, recall: 0.7381, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8911, scimark_benchmark: 1241.2694, usercpu_time_millis: 724.972, usercpu_time_millis_testing: 11.886, usercpu_time_millis_training: 713.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5946, kappa: 0.1892, kb_relative_information_score: 58.0066, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5946, predictive_accuracy: 0.5946, prior_entropy: 1, recall: 0.5946, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9856, scimark_benchmark: 1231.5611, usercpu_time_millis: 26.034, usercpu_time_millis_testing: 2.053, usercpu_time_millis_training: 23.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.6104, kappa: 0.2208, kb_relative_information_score: 80.3275, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6104, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9797, scimark_benchmark: 1238.37, usercpu_time_millis: 68.405, usercpu_time_millis_testing: 5.677, usercpu_time_millis_training: 62.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6204, kappa: 0.2415, kb_relative_information_score: 113.1495, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6212, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9724, scimark_benchmark: 1254.3631, usercpu_time_millis: 28.24, usercpu_time_millis_testing: 1.688, usercpu_time_millis_training: 26.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6025, kappa: 0.2054, kb_relative_information_score: 68.67, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6029, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.983, scimark_benchmark: 1255.5777, usercpu_time_millis: 24.321, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 22.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.5812, kappa: 0.1623, kb_relative_information_score: 23.0715, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5812, predictive_accuracy: 0.5812, prior_entropy: 1, recall: 0.5812, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1249.8756, usercpu_time_millis: 11.674, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 10.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.5296, kappa: 0.0592, kb_relative_information_score: 19.8167, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5296, predictive_accuracy: 0.5296, prior_entropy: 1, recall: 0.5296, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1245.0032, usercpu_time_millis: 9.996, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 8.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6119, kappa: 0.2238, kb_relative_information_score: 76.9118, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6119, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9804, scimark_benchmark: 1233.3267, usercpu_time_millis: 53.602, usercpu_time_millis_testing: 3.607, usercpu_time_millis_training: 49.995,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.6329, kappa: 0.2662, kb_relative_information_score: 104.6488, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6334, predictive_accuracy: 0.6331, prior_entropy: 1, recall: 0.6331, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9738, scimark_benchmark: 1248.8305, usercpu_time_millis: 50.548, usercpu_time_millis_testing: 3.273, usercpu_time_millis_training: 47.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.6264, kappa: 0.2531, kb_relative_information_score: 177.2609, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6267, predictive_accuracy: 0.6265, prior_entropy: 1, recall: 0.6265, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9565, scimark_benchmark: 1255.2937, usercpu_time_millis: 110.811, usercpu_time_millis_testing: 5.155, usercpu_time_millis_training: 105.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6103, kappa: 0.2208, kb_relative_information_score: 80.0528, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6104, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9799, scimark_benchmark: 1261.9679, usercpu_time_millis: 72.615, usercpu_time_millis_testing: 5.465, usercpu_time_millis_training: 67.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.733, kappa: 0.4685, kb_relative_information_score: 395.1676, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7387, predictive_accuracy: 0.7342, prior_entropy: 1, recall: 0.7342, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8981, scimark_benchmark: 1244.2202, usercpu_time_millis: 727.215, usercpu_time_millis_testing: 15.286, usercpu_time_millis_training: 711.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.6355, kappa: 0.2715, kb_relative_information_score: 123.6689, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6362, predictive_accuracy: 0.6358, prior_entropy: 1, recall: 0.6358, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9692, scimark_benchmark: 1251.2496, usercpu_time_millis: 88.75, usercpu_time_millis_testing: 4.395, usercpu_time_millis_training: 84.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1233.614, usercpu_time_millis: 24.159, usercpu_time_millis_testing: 2.821, usercpu_time_millis_training: 21.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.698, kappa: 0.3985, kb_relative_information_score: 276.9138, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7025, predictive_accuracy: 0.6992, prior_entropy: 1, recall: 0.6992, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9292, scimark_benchmark: 1253.1739, usercpu_time_millis: 648.129, usercpu_time_millis_testing: 16.506, usercpu_time_millis_training: 631.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6443, kappa: 0.29, kb_relative_information_score: 232.6364, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6461, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9435, scimark_benchmark: 1246.4555, usercpu_time_millis: 134.754, usercpu_time_millis_testing: 4.463, usercpu_time_millis_training: 130.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6372, kappa: 0.2754, kb_relative_information_score: 176.1582, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6385, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9564, scimark_benchmark: 1252.1539, usercpu_time_millis: 99.866, usercpu_time_millis_testing: 4.978, usercpu_time_millis_training: 94.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.669, kappa: 0.3385, kb_relative_information_score: 323.6021, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6697, predictive_accuracy: 0.6692, prior_entropy: 1, recall: 0.6692, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9282, scimark_benchmark: 1249.8435, usercpu_time_millis: 22.195, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 21.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.622, kappa: 0.2446, kb_relative_information_score: 124.865, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6228, predictive_accuracy: 0.6223, prior_entropy: 1, recall: 0.6223, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9695, scimark_benchmark: 1250.355, usercpu_time_millis: 24.415, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 22.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6077, kappa: 0.2154, kb_relative_information_score: 19.3718, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6077, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1249.9755, usercpu_time_millis: 21.838, usercpu_time_millis_testing: 2.106, usercpu_time_millis_training: 19.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6211, kappa: 0.2423, kb_relative_information_score: 105.9846, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6212, predictive_accuracy: 0.6212, prior_entropy: 1, recall: 0.6212, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9732, scimark_benchmark: 1242.9897, usercpu_time_millis: 21.608, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 20.117,
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: 1244.2339, usercpu_time_millis: 9.144, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 8.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7145, kappa: 0.4308, kb_relative_information_score: 326.2623, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7182, predictive_accuracy: 0.7154, prior_entropy: 1, recall: 0.7154, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9164, scimark_benchmark: 1260.6504, usercpu_time_millis: 587.265, usercpu_time_millis_testing: 14.643, usercpu_time_millis_training: 572.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7055, kappa: 0.4138, kb_relative_information_score: 341.2467, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7111, predictive_accuracy: 0.7069, prior_entropy: 1, recall: 0.7069, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9152, scimark_benchmark: 1236.981, usercpu_time_millis: 59.161, usercpu_time_millis_testing: 1.973, usercpu_time_millis_training: 57.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.5997, kappa: 0.2, kb_relative_information_score: 74.0784, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6003, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9817, scimark_benchmark: 1239.7426, usercpu_time_millis: 53.32, usercpu_time_millis_testing: 3.378, usercpu_time_millis_training: 49.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6283, kappa: 0.2569, kb_relative_information_score: 155.0482, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6287, predictive_accuracy: 0.6285, prior_entropy: 1, recall: 0.6285, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9611, scimark_benchmark: 1240.6836, usercpu_time_millis: 145.902, usercpu_time_millis_testing: 5.451, usercpu_time_millis_training: 140.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.5969, kappa: 0.1938, kb_relative_information_score: 32.7765, mean_absolute_error: 0.4955, 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: 0.991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9915, scimark_benchmark: 1255.2966, usercpu_time_millis: 31.064, usercpu_time_millis_testing: 2.722, usercpu_time_millis_training: 28.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6406, kappa: 0.2823, kb_relative_information_score: 165.6599, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.642, predictive_accuracy: 0.6412, prior_entropy: 1, recall: 0.6412, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9582, scimark_benchmark: 1237.8102, usercpu_time_millis: 216.655, usercpu_time_millis_testing: 9.388, usercpu_time_millis_training: 207.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.6777, kappa: 0.3569, kb_relative_information_score: 223.88, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6801, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9433, scimark_benchmark: 1248.9089, usercpu_time_millis: 269.975, usercpu_time_millis_testing: 8.754, usercpu_time_millis_training: 261.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 67.2437, mean_absolute_error: 0.4906, 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: 0.9812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9833, scimark_benchmark: 1253.2788, usercpu_time_millis: 20.842, usercpu_time_millis_testing: 1.711, usercpu_time_millis_training: 19.131,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6436, kappa: 0.2885, kb_relative_information_score: 214.6765, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6453, predictive_accuracy: 0.6442, prior_entropy: 1, recall: 0.6442, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9472, scimark_benchmark: 1246.0915, usercpu_time_millis: 109.409, usercpu_time_millis_testing: 4.633, usercpu_time_millis_training: 104.776,
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: 1257.7536, usercpu_time_millis: 9.486, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 8.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.6177, kappa: 0.2354, kb_relative_information_score: 176.1918, mean_absolute_error: 0.474, 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: 0.9481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9579, scimark_benchmark: 1241.4888, usercpu_time_millis: 84.78, usercpu_time_millis_testing: 3.8, usercpu_time_millis_training: 80.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6076, kappa: 0.2154, kb_relative_information_score: 62.703, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6077, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9843, scimark_benchmark: 1245.4987, usercpu_time_millis: 62.432, usercpu_time_millis_testing: 4.446, usercpu_time_millis_training: 57.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6037, kappa: 0.2077, kb_relative_information_score: 51.4268, mean_absolute_error: 0.4929, 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: 0.9858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9869, scimark_benchmark: 1242.9779, usercpu_time_millis: 56.752, usercpu_time_millis_testing: 4.815, usercpu_time_millis_training: 51.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6909, kappa: 0.3846, kb_relative_information_score: 294.4063, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6958, predictive_accuracy: 0.6923, prior_entropy: 1, recall: 0.6923, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9265, scimark_benchmark: 1227.1309, usercpu_time_millis: 261.926, usercpu_time_millis_testing: 8.433, usercpu_time_millis_training: 253.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7107, kappa: 0.4246, kb_relative_information_score: 339.4453, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.717, predictive_accuracy: 0.7123, prior_entropy: 1, recall: 0.7123, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9145, scimark_benchmark: 1251.0369, usercpu_time_millis: 251.537, usercpu_time_millis_testing: 6.209, usercpu_time_millis_training: 245.328,

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

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