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: 0.8418, f_measure: 0.7514, kappa: 0.5054, kb_relative_information_score: 479.6281, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.758, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8763, scimark_benchmark: 1260.2938, usercpu_time_millis: 499.21, usercpu_time_millis_testing: 8.318, usercpu_time_millis_training: 490.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6188, kappa: 0.2377, kb_relative_information_score: 61.1094, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6189, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9845, scimark_benchmark: 1240.2002, usercpu_time_millis: 63.232, usercpu_time_millis_testing: 4.755, usercpu_time_millis_training: 58.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.6091, kappa: 0.2185, kb_relative_information_score: 185.1336, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6094, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9635, scimark_benchmark: 1242.6701, usercpu_time_millis: 9.501, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 8.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.6688, kappa: 0.3392, kb_relative_information_score: 248.1052, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6714, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9383, scimark_benchmark: 1253.2329, usercpu_time_millis: 298.643, usercpu_time_millis_testing: 8.633, usercpu_time_millis_training: 290.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.6119, kappa: 0.2238, kb_relative_information_score: 88.0238, mean_absolute_error: 0.4876, 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: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9777, scimark_benchmark: 1248.7217, usercpu_time_millis: 86.99, usercpu_time_millis_testing: 4.748, usercpu_time_millis_training: 82.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.6211, kappa: 0.2423, kb_relative_information_score: 135.8946, mean_absolute_error: 0.4804, 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: 0.9609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.966, scimark_benchmark: 1246.1976, usercpu_time_millis: 133.815, usercpu_time_millis_testing: 5.608, usercpu_time_millis_training: 128.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7423, kappa: 0.4869, kb_relative_information_score: 469.8814, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7479, predictive_accuracy: 0.7435, prior_entropy: 1, recall: 0.7435, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8804, scimark_benchmark: 1232.9911, usercpu_time_millis: 53.22, usercpu_time_millis_testing: 1.826, usercpu_time_millis_training: 51.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6273, kappa: 0.2554, kb_relative_information_score: 171.8954, mean_absolute_error: 0.4749, 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: 0.9498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9573, scimark_benchmark: 1257.4461, usercpu_time_millis: 76.945, usercpu_time_millis_testing: 3.54, usercpu_time_millis_training: 73.405,
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: 1254.92, usercpu_time_millis: 15.067, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 13.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.6207, kappa: 0.2415, kb_relative_information_score: 142.9266, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6209, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9643, scimark_benchmark: 1244.7995, usercpu_time_millis: 123.459, usercpu_time_millis_testing: 5.447, usercpu_time_millis_training: 118.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6241, kappa: 0.2485, kb_relative_information_score: 104.0686, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6245, predictive_accuracy: 0.6242, prior_entropy: 1, recall: 0.6242, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9735, scimark_benchmark: 1233.6089, usercpu_time_millis: 147.183, usercpu_time_millis_testing: 7.29, usercpu_time_millis_training: 139.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.632, kappa: 0.2646, kb_relative_information_score: 140.099, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6328, predictive_accuracy: 0.6323, prior_entropy: 1, recall: 0.6323, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9654, scimark_benchmark: 1228.6411, usercpu_time_millis: 65.479, usercpu_time_millis_testing: 3.501, usercpu_time_millis_training: 61.978,
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: 1249.1226, usercpu_time_millis: 9.776, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 8.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 32.9172, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6016, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9915, scimark_benchmark: 1247.5537, usercpu_time_millis: 15.785, usercpu_time_millis_testing: 1.81, usercpu_time_millis_training: 13.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.6037, kappa: 0.2077, kb_relative_information_score: 88.281, mean_absolute_error: 0.4875, 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: 0.975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9787, scimark_benchmark: 1262.4424, usercpu_time_millis: 16.257, usercpu_time_millis_testing: 1.344, usercpu_time_millis_training: 14.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6207, kappa: 0.2415, kb_relative_information_score: 81.9816, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6209, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.979, scimark_benchmark: 1248.086, usercpu_time_millis: 261.233, usercpu_time_millis_testing: 15.324, usercpu_time_millis_training: 245.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7473, kappa: 0.4969, kb_relative_information_score: 445.7971, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7533, predictive_accuracy: 0.7485, prior_entropy: 1, recall: 0.7485, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.885, scimark_benchmark: 1254.5281, usercpu_time_millis: 380.352, usercpu_time_millis_testing: 7.926, usercpu_time_millis_training: 372.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.6261, kappa: 0.2531, kb_relative_information_score: 167.4846, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6271, predictive_accuracy: 0.6265, prior_entropy: 1, recall: 0.6265, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592, scimark_benchmark: 1242.4717, usercpu_time_millis: 60.609, usercpu_time_millis_testing: 2.68, usercpu_time_millis_training: 57.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.6448, kappa: 0.29, kb_relative_information_score: 159.7975, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6454, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9593, scimark_benchmark: 1253.3887, usercpu_time_millis: 108.201, usercpu_time_millis_testing: 4.624, usercpu_time_millis_training: 103.577,
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: 1247.8388, usercpu_time_millis: 16.382, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 14.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7228, kappa: 0.4485, kb_relative_information_score: 371.5206, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7289, predictive_accuracy: 0.7242, prior_entropy: 1, recall: 0.7242, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9062, scimark_benchmark: 1266.2821, usercpu_time_millis: 154.544, usercpu_time_millis_testing: 3.606, usercpu_time_millis_training: 150.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.6265, kappa: 0.2531, kb_relative_information_score: 107.3443, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6266, predictive_accuracy: 0.6265, prior_entropy: 1, recall: 0.6265, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.973, scimark_benchmark: 1252.9924, usercpu_time_millis: 69.659, usercpu_time_millis_testing: 4.112, usercpu_time_millis_training: 65.547,
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: 1252.7735, usercpu_time_millis: 24.994, usercpu_time_millis_testing: 2.919, usercpu_time_millis_training: 22.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.707, kappa: 0.4162, kb_relative_information_score: 281.5008, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7113, predictive_accuracy: 0.7081, prior_entropy: 1, recall: 0.7081, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9283, scimark_benchmark: 1248.6963, usercpu_time_millis: 249.418, usercpu_time_millis_testing: 5.85, usercpu_time_millis_training: 243.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7761, kappa: 0.5538, kb_relative_information_score: 581.2621, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7812, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8476, scimark_benchmark: 1240.4433, usercpu_time_millis: 507.99, usercpu_time_millis_testing: 7.479, usercpu_time_millis_training: 500.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7559, kappa: 0.5138, kb_relative_information_score: 476.0905, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7613, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8756, scimark_benchmark: 1263.467, usercpu_time_millis: 849.888, usercpu_time_millis_testing: 17.02, usercpu_time_millis_training: 832.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.613, kappa: 0.2262, kb_relative_information_score: 55.1186, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6131, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.986, scimark_benchmark: 1268.5502, usercpu_time_millis: 93.862, usercpu_time_millis_testing: 6.798, usercpu_time_millis_training: 87.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.6916, kappa: 0.3862, kb_relative_information_score: 298.7081, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6968, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9255, scimark_benchmark: 1247.0548, usercpu_time_millis: 116.616, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 113.426,
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: 1257.9469, usercpu_time_millis: 28.86, usercpu_time_millis_testing: 3.156, usercpu_time_millis_training: 25.704,
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: 1257.8591, usercpu_time_millis: 26.888, usercpu_time_millis_testing: 2.898, usercpu_time_millis_training: 23.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7392, kappa: 0.4815, kb_relative_information_score: 435.5176, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7467, predictive_accuracy: 0.7408, prior_entropy: 1, recall: 0.7408, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8879, scimark_benchmark: 1254.9391, usercpu_time_millis: 876.048, usercpu_time_millis_testing: 12.592, usercpu_time_millis_training: 863.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8007, kappa: 0.6023, kb_relative_information_score: 682.3198, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8037, predictive_accuracy: 0.8012, prior_entropy: 1, recall: 0.8012, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8201, scimark_benchmark: 1250.9079, usercpu_time_millis: 1059.861, usercpu_time_millis_testing: 13.777, usercpu_time_millis_training: 1046.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7693, kappa: 0.54, kb_relative_information_score: 511.9174, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7734, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.867, scimark_benchmark: 1259.5748, usercpu_time_millis: 272.094, usercpu_time_millis_testing: 5.021, usercpu_time_millis_training: 267.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6537, kappa: 0.3085, kb_relative_information_score: 186.0976, mean_absolute_error: 0.4728, 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: 0.9457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9529, scimark_benchmark: 1266.8887, usercpu_time_millis: 145.222, usercpu_time_millis_testing: 6.18, usercpu_time_millis_training: 139.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7094, kappa: 0.4215, kb_relative_information_score: 339.2671, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7147, predictive_accuracy: 0.7108, prior_entropy: 1, recall: 0.7108, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9141, scimark_benchmark: 1260.0206, usercpu_time_millis: 103.496, usercpu_time_millis_testing: 2.888, usercpu_time_millis_training: 100.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.6696, kappa: 0.3408, kb_relative_information_score: 210.726, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.672, predictive_accuracy: 0.6704, prior_entropy: 1, recall: 0.6704, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9461, scimark_benchmark: 1255.9163, usercpu_time_millis: 632.524, usercpu_time_millis_testing: 19.626, usercpu_time_millis_training: 612.898,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7359, kappa: 0.4738, kb_relative_information_score: 388.093, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7408, predictive_accuracy: 0.7369, prior_entropy: 1, recall: 0.7369, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8997, scimark_benchmark: 1269.8908, usercpu_time_millis: 572.714, usercpu_time_millis_testing: 13.021, usercpu_time_millis_training: 559.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.6968, kappa: 0.3969, kb_relative_information_score: 321.3499, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7029, predictive_accuracy: 0.6985, prior_entropy: 1, recall: 0.6985, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9205, scimark_benchmark: 1273.3982, usercpu_time_millis: 248.111, usercpu_time_millis_testing: 6.709, usercpu_time_millis_training: 241.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.6154, kappa: 0.2308, kb_relative_information_score: 164.974, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6154, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9605, scimark_benchmark: 1257.3197, usercpu_time_millis: 50.85, usercpu_time_millis_testing: 2.232, usercpu_time_millis_training: 48.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.5588, kappa: 0.1177, kb_relative_information_score: 42.047, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5589, predictive_accuracy: 0.5588, prior_entropy: 1, recall: 0.5588, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9909, scimark_benchmark: 1255.6397, usercpu_time_millis: 13.185, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 11.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6149, kappa: 0.23, kb_relative_information_score: 100.6254, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6152, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9748, scimark_benchmark: 1274.0684, usercpu_time_millis: 25.908, usercpu_time_millis_testing: 1.738, usercpu_time_millis_training: 24.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6587, kappa: 0.3185, kb_relative_information_score: 187.5703, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6602, predictive_accuracy: 0.6592, prior_entropy: 1, recall: 0.6592, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9536, scimark_benchmark: 1245.7738, usercpu_time_millis: 70.03, usercpu_time_millis_testing: 3.075, usercpu_time_millis_training: 66.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.6906, kappa: 0.3838, kb_relative_information_score: 291.2657, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6952, predictive_accuracy: 0.6919, prior_entropy: 1, recall: 0.6919, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9267, scimark_benchmark: 1264.9014, usercpu_time_millis: 262.856, usercpu_time_millis_testing: 5.505, usercpu_time_millis_training: 257.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.6026, kappa: 0.2054, kb_relative_information_score: 37.6858, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6028, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9903, scimark_benchmark: 1270.9304, usercpu_time_millis: 27.806, usercpu_time_millis_testing: 2.635, usercpu_time_millis_training: 25.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.733, kappa: 0.4685, kb_relative_information_score: 367.4368, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7385, predictive_accuracy: 0.7342, prior_entropy: 1, recall: 0.7342, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9051, scimark_benchmark: 1262.2821, usercpu_time_millis: 823.234, usercpu_time_millis_testing: 13.541, usercpu_time_millis_training: 809.693,
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: 1271.7002, usercpu_time_millis: 28.954, usercpu_time_millis_testing: 3.169, usercpu_time_millis_training: 25.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.6718, kappa: 0.3446, kb_relative_information_score: 227.667, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6733, predictive_accuracy: 0.6723, prior_entropy: 1, recall: 0.6723, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9419, scimark_benchmark: 1269.8468, usercpu_time_millis: 124.962, usercpu_time_millis_testing: 4.814, usercpu_time_millis_training: 120.148,
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: 1240.4944, usercpu_time_millis: 16.885, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 15.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.6943, kappa: 0.39, kb_relative_information_score: 266.4725, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6967, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.466, root_relative_squared_error: 0.932, scimark_benchmark: 1246.829, usercpu_time_millis: 323.535, usercpu_time_millis_testing: 9.793, usercpu_time_millis_training: 313.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.6025, kappa: 0.2054, kb_relative_information_score: 74.2777, mean_absolute_error: 0.4896, 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: 0.9791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9817, scimark_benchmark: 1261.9538, usercpu_time_millis: 44.35, usercpu_time_millis_testing: 3.243, usercpu_time_millis_training: 41.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.6643, kappa: 0.33, kb_relative_information_score: 235.2424, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6664, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9417, scimark_benchmark: 1271.5912, usercpu_time_millis: 99.527, usercpu_time_millis_testing: 3.529, usercpu_time_millis_training: 95.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6141, kappa: 0.2285, kb_relative_information_score: 81.0104, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6143, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9801, scimark_benchmark: 1259.6183, usercpu_time_millis: 123.038, usercpu_time_millis_testing: 7.628, usercpu_time_millis_training: 115.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6697, kappa: 0.3415, kb_relative_information_score: 262.9374, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.673, predictive_accuracy: 0.6708, prior_entropy: 1, recall: 0.6708, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9346, scimark_benchmark: 1236.5687, usercpu_time_millis: 88.269, usercpu_time_millis_testing: 3.043, usercpu_time_millis_training: 85.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.606, kappa: 0.2131, kb_relative_information_score: 83.2856, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6071, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1249.1713, usercpu_time_millis: 32.221, usercpu_time_millis_testing: 3.226, usercpu_time_millis_training: 28.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6231, kappa: 0.2462, kb_relative_information_score: 182.0606, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6231, predictive_accuracy: 0.6231, prior_entropy: 1, recall: 0.6231, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.478, root_relative_squared_error: 0.956, scimark_benchmark: 1252.9287, usercpu_time_millis: 126.521, usercpu_time_millis_testing: 4.93, usercpu_time_millis_training: 121.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7057, kappa: 0.4146, kb_relative_information_score: 340.6905, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7119, predictive_accuracy: 0.7073, prior_entropy: 1, recall: 0.7073, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9149, scimark_benchmark: 1260.1277, usercpu_time_millis: 299.207, usercpu_time_millis_testing: 7.544, usercpu_time_millis_training: 291.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7074, kappa: 0.4177, kb_relative_information_score: 307.8095, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7132, predictive_accuracy: 0.7088, prior_entropy: 1, recall: 0.7088, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.461, root_relative_squared_error: 0.922, scimark_benchmark: 1260.8477, usercpu_time_millis: 434.804, usercpu_time_millis_testing: 10.071, usercpu_time_millis_training: 424.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6041, kappa: 0.2085, kb_relative_information_score: 30.6477, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6043, predictive_accuracy: 0.6042, prior_entropy: 1, recall: 0.6042, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1259.0756, usercpu_time_millis: 33.117, usercpu_time_millis_testing: 3.282, usercpu_time_millis_training: 29.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.6979, kappa: 0.3977, kb_relative_information_score: 311.2415, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7015, predictive_accuracy: 0.6988, prior_entropy: 1, recall: 0.6988, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9225, scimark_benchmark: 1258.3368, usercpu_time_millis: 155.739, usercpu_time_millis_testing: 4.262, usercpu_time_millis_training: 151.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7242, kappa: 0.4508, kb_relative_information_score: 337.0787, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7293, predictive_accuracy: 0.7254, prior_entropy: 1, recall: 0.7254, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9133, scimark_benchmark: 1242.3467, usercpu_time_millis: 642.273, usercpu_time_millis_testing: 13.29, usercpu_time_millis_training: 628.983,
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: 1259.0564, usercpu_time_millis: 34.582, usercpu_time_millis_testing: 3.662, usercpu_time_millis_training: 30.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7085, kappa: 0.4192, kb_relative_information_score: 344.6148, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.713, predictive_accuracy: 0.7096, prior_entropy: 1, recall: 0.7096, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9134, scimark_benchmark: 1269.3722, usercpu_time_millis: 129.861, usercpu_time_millis_testing: 3.089, usercpu_time_millis_training: 126.772,
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: 1257.6455, usercpu_time_millis: 24.453, usercpu_time_millis_testing: 2.652, usercpu_time_millis_training: 21.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.6339, kappa: 0.2685, kb_relative_information_score: 117.91, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6347, predictive_accuracy: 0.6342, prior_entropy: 1, recall: 0.6342, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9702, scimark_benchmark: 1258.796, usercpu_time_millis: 156.675, usercpu_time_millis_testing: 8.477, usercpu_time_millis_training: 148.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6014, kappa: 0.2031, kb_relative_information_score: 51.6333, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6017, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 1271.0545, usercpu_time_millis: 67.318, usercpu_time_millis_testing: 4.869, usercpu_time_millis_training: 62.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6102, kappa: 0.2208, kb_relative_information_score: 139.0092, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6106, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9667, scimark_benchmark: 1256.9809, usercpu_time_millis: 145.367, usercpu_time_millis_testing: 4.89, usercpu_time_millis_training: 140.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6104, kappa: 0.2208, kb_relative_information_score: 58.4338, mean_absolute_error: 0.4919, 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: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.985, scimark_benchmark: 1255.6141, usercpu_time_millis: 78.794, usercpu_time_millis_testing: 6.244, usercpu_time_millis_training: 72.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.6776, kappa: 0.3569, kb_relative_information_score: 221.261, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6803, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9436, scimark_benchmark: 1265.5798, usercpu_time_millis: 513.469, usercpu_time_millis_testing: 15.988, usercpu_time_millis_training: 497.481,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs