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: 0.4792, 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: 1308.5307, usercpu_time_millis: 20.125, usercpu_time_millis_testing: 2.122, usercpu_time_millis_training: 18.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.5919, kappa: 0.1838, kb_relative_information_score: 12.2343, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.592, predictive_accuracy: 0.5919, prior_entropy: 1, recall: 0.5919, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1316.6484, usercpu_time_millis: 35.677, usercpu_time_millis_testing: 3.525, usercpu_time_millis_training: 32.152,
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: 1299.9563, usercpu_time_millis: 20.496, usercpu_time_millis_testing: 2.848, usercpu_time_millis_training: 17.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7333, kappa: 0.4692, kb_relative_information_score: 415.424, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7395, predictive_accuracy: 0.7346, prior_entropy: 1, recall: 0.7346, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8937, scimark_benchmark: 1296.3748, usercpu_time_millis: 182.574, usercpu_time_millis_testing: 4.093, usercpu_time_millis_training: 178.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7521, kappa: 0.5062, kb_relative_information_score: 471.1614, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.757, predictive_accuracy: 0.7531, prior_entropy: 1, recall: 0.7531, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8776, scimark_benchmark: 1312.4048, usercpu_time_millis: 673.865, usercpu_time_millis_testing: 12.629, usercpu_time_millis_training: 661.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.6057, kappa: 0.2115, kb_relative_information_score: 114.9903, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6059, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9721, scimark_benchmark: 1294.2532, usercpu_time_millis: 30.941, usercpu_time_millis_testing: 2.351, usercpu_time_millis_training: 28.59,
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: 1306.6262, usercpu_time_millis: 25.766, usercpu_time_millis_testing: 3.243, usercpu_time_millis_training: 22.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7218, kappa: 0.4454, kb_relative_information_score: 398.016, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7255, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8996, scimark_benchmark: 1310.2832, usercpu_time_millis: 102.277, usercpu_time_millis_testing: 2.771, usercpu_time_millis_training: 99.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7166, kappa: 0.4354, kb_relative_information_score: 320.9258, mean_absolute_error: 0.4517, 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: 0.9034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9176, scimark_benchmark: 1298.289, usercpu_time_millis: 173.508, usercpu_time_millis_testing: 4.645, usercpu_time_millis_training: 168.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.651, kappa: 0.3031, kb_relative_information_score: 207.7862, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6524, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 1315.2135, usercpu_time_millis: 74.155, usercpu_time_millis_testing: 3.389, usercpu_time_millis_training: 70.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.71, kappa: 0.4231, kb_relative_information_score: 320.9514, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7162, predictive_accuracy: 0.7115, prior_entropy: 1, recall: 0.7115, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9184, scimark_benchmark: 1307.4831, usercpu_time_millis: 504.327, usercpu_time_millis_testing: 11.215, usercpu_time_millis_training: 493.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6253, kappa: 0.2508, kb_relative_information_score: 192.0671, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6255, predictive_accuracy: 0.6254, prior_entropy: 1, recall: 0.6254, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9534, scimark_benchmark: 1287.5883, usercpu_time_millis: 72.856, usercpu_time_millis_testing: 2.723, usercpu_time_millis_training: 70.133,
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: 1292.927, usercpu_time_millis: 17.803, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 15.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6821, kappa: 0.3662, kb_relative_information_score: 275.4746, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6854, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9314, scimark_benchmark: 1303.1821, usercpu_time_millis: 212.347, usercpu_time_millis_testing: 5.106, usercpu_time_millis_training: 207.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7697, kappa: 0.5415, kb_relative_information_score: 580.974, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7761, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8489, scimark_benchmark: 1310.8413, usercpu_time_millis: 568.66, usercpu_time_millis_testing: 8.172, usercpu_time_millis_training: 560.488,
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: 1295.7283, usercpu_time_millis: 18.798, usercpu_time_millis_testing: 1.955, usercpu_time_millis_training: 16.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.6161, kappa: 0.2323, kb_relative_information_score: 153.2245, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6162, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9627, scimark_benchmark: 1309.4571, usercpu_time_millis: 65.908, usercpu_time_millis_testing: 2.937, usercpu_time_millis_training: 62.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.6853, kappa: 0.3738, kb_relative_information_score: 308.6977, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6908, predictive_accuracy: 0.6869, prior_entropy: 1, recall: 0.6869, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9237, scimark_benchmark: 1297.3273, usercpu_time_millis: 164.965, usercpu_time_millis_testing: 4.212, usercpu_time_millis_training: 160.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.705, kappa: 0.4115, kb_relative_information_score: 368.5582, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7079, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9092, scimark_benchmark: 1310.0838, usercpu_time_millis: 51.477, usercpu_time_millis_testing: 1.723, usercpu_time_millis_training: 49.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.5988, kappa: 0.1977, kb_relative_information_score: 57.3057, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5989, predictive_accuracy: 0.5988, prior_entropy: 1, recall: 0.5988, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9857, scimark_benchmark: 1308.3415, usercpu_time_millis: 28.3, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 26.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7035, kappa: 0.41, kb_relative_information_score: 326.0771, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7091, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.459, root_relative_squared_error: 0.918, scimark_benchmark: 1311.1476, usercpu_time_millis: 352.399, usercpu_time_millis_testing: 7.069, usercpu_time_millis_training: 345.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.787, kappa: 0.5754, kb_relative_information_score: 617.4041, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7917, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376, scimark_benchmark: 1283.9683, usercpu_time_millis: 1097.21, usercpu_time_millis_testing: 16.351, usercpu_time_millis_training: 1080.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.714, kappa: 0.43, kb_relative_information_score: 335.3564, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7182, predictive_accuracy: 0.715, prior_entropy: 1, recall: 0.715, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9139, scimark_benchmark: 1272.064, usercpu_time_millis: 462.517, usercpu_time_millis_testing: 8.9, usercpu_time_millis_training: 453.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.6685, kappa: 0.3392, kb_relative_information_score: 251.7005, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6719, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9373, scimark_benchmark: 1303.2486, usercpu_time_millis: 80.482, usercpu_time_millis_testing: 2.645, usercpu_time_millis_training: 77.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.6272, kappa: 0.2546, kb_relative_information_score: 85.5861, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6275, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9781, scimark_benchmark: 1295.6424, usercpu_time_millis: 64.277, usercpu_time_millis_testing: 3.739, usercpu_time_millis_training: 60.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.6716, kappa: 0.3454, kb_relative_information_score: 233.1894, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6749, predictive_accuracy: 0.6727, prior_entropy: 1, recall: 0.6727, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9417, scimark_benchmark: 1305.147, usercpu_time_millis: 159.339, usercpu_time_millis_testing: 5.593, usercpu_time_millis_training: 153.746,
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: 1280.96, usercpu_time_millis: 23.253, usercpu_time_millis_testing: 2.623, usercpu_time_millis_training: 20.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.6312, kappa: 0.2631, kb_relative_information_score: 186.988, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.632, predictive_accuracy: 0.6315, prior_entropy: 1, recall: 0.6315, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9535, scimark_benchmark: 1307.4121, usercpu_time_millis: 140.988, usercpu_time_millis_testing: 5.62, usercpu_time_millis_training: 135.368,
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: 1299.7578, usercpu_time_millis: 21.426, usercpu_time_millis_testing: 2.857, usercpu_time_millis_training: 18.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.6389, kappa: 0.2785, kb_relative_information_score: 176.7002, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6397, predictive_accuracy: 0.6392, prior_entropy: 1, recall: 0.6392, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9557, scimark_benchmark: 1305.6252, usercpu_time_millis: 123.994, usercpu_time_millis_testing: 5.016, usercpu_time_millis_training: 118.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7016, kappa: 0.4062, kb_relative_information_score: 315.6577, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7073, predictive_accuracy: 0.7031, prior_entropy: 1, recall: 0.7031, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9208, scimark_benchmark: 1283.8362, usercpu_time_millis: 453.568, usercpu_time_millis_testing: 11.31, usercpu_time_millis_training: 442.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.6482, kappa: 0.2977, kb_relative_information_score: 196.8806, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.65, predictive_accuracy: 0.6488, prior_entropy: 1, recall: 0.6488, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9509, scimark_benchmark: 1288.318, usercpu_time_millis: 147.615, usercpu_time_millis_testing: 5.613, usercpu_time_millis_training: 142.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7369, kappa: 0.4762, kb_relative_information_score: 426.8663, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7423, 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: 0.445, root_relative_squared_error: 0.89, scimark_benchmark: 1302.8808, usercpu_time_millis: 283.815, usercpu_time_millis_testing: 6.505, usercpu_time_millis_training: 277.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.6828, kappa: 0.3677, kb_relative_information_score: 267.2698, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6864, predictive_accuracy: 0.6838, prior_entropy: 1, recall: 0.6838, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.467, root_relative_squared_error: 0.934, scimark_benchmark: 1302.4639, usercpu_time_millis: 38.152, usercpu_time_millis_testing: 2.04, usercpu_time_millis_training: 36.112,
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: 1293.373, usercpu_time_millis: 32.686, usercpu_time_millis_testing: 4.223, usercpu_time_millis_training: 28.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.6073, kappa: 0.2146, kb_relative_information_score: 47.6548, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6074, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9879, scimark_benchmark: 1303.067, usercpu_time_millis: 32.125, usercpu_time_millis_testing: 3.047, usercpu_time_millis_training: 29.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6334, kappa: 0.2677, kb_relative_information_score: 209.2781, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6345, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9493, scimark_benchmark: 1291.0871, usercpu_time_millis: 22.837, usercpu_time_millis_testing: 1.696, usercpu_time_millis_training: 21.141,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.6822, kappa: 0.3662, kb_relative_information_score: 267.2573, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.685, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9324, scimark_benchmark: 1289.8637, usercpu_time_millis: 92.88, usercpu_time_millis_testing: 2.819, usercpu_time_millis_training: 90.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6353, kappa: 0.2715, kb_relative_information_score: 194.7593, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6365, predictive_accuracy: 0.6358, prior_entropy: 1, recall: 0.6358, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.476, root_relative_squared_error: 0.952, scimark_benchmark: 1280.4726, usercpu_time_millis: 27.293, usercpu_time_millis_testing: 1.672, usercpu_time_millis_training: 25.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7319, kappa: 0.4662, kb_relative_information_score: 384.4389, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7372, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9019, scimark_benchmark: 1314.0947, usercpu_time_millis: 115.546, usercpu_time_millis_testing: 2.894, usercpu_time_millis_training: 112.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.6012, kappa: 0.2031, kb_relative_information_score: 108.6188, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6019, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9742, scimark_benchmark: 1289.9696, usercpu_time_millis: 108.2, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 103.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.6509, kappa: 0.3031, kb_relative_information_score: 200.5313, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6526, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9504, scimark_benchmark: 1296.0255, usercpu_time_millis: 92.664, usercpu_time_millis_testing: 3.676, usercpu_time_millis_training: 88.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.6476, kappa: 0.2962, kb_relative_information_score: 203.3068, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6489, predictive_accuracy: 0.6481, prior_entropy: 1, recall: 0.6481, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9501, scimark_benchmark: 1312.8176, usercpu_time_millis: 87.276, usercpu_time_millis_testing: 3.205, usercpu_time_millis_training: 84.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7148, kappa: 0.4315, kb_relative_information_score: 323.5509, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7189, predictive_accuracy: 0.7158, prior_entropy: 1, recall: 0.7158, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9169, scimark_benchmark: 1310.9949, usercpu_time_millis: 216.551, usercpu_time_millis_testing: 5.761, usercpu_time_millis_training: 210.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7673, kappa: 0.5369, kb_relative_information_score: 594.1761, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7738, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8458, scimark_benchmark: 1312.7816, usercpu_time_millis: 415.018, usercpu_time_millis_testing: 6.436, usercpu_time_millis_training: 408.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.705, kappa: 0.4123, kb_relative_information_score: 308.1847, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7094, predictive_accuracy: 0.7062, prior_entropy: 1, recall: 0.7062, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9227, scimark_benchmark: 1307.422, usercpu_time_millis: 58.829, usercpu_time_millis_testing: 2.408, usercpu_time_millis_training: 56.421,
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: 1306.9089, usercpu_time_millis: 9.5, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 8.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.6346, kappa: 0.2692, kb_relative_information_score: 129.5375, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6346, predictive_accuracy: 0.6346, prior_entropy: 1, recall: 0.6346, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9693, scimark_benchmark: 1309.2899, usercpu_time_millis: 38.09, usercpu_time_millis_testing: 2.718, usercpu_time_millis_training: 35.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6033, kappa: 0.2069, kb_relative_information_score: 35.9859, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6036, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9907, scimark_benchmark: 1283.0516, usercpu_time_millis: 32.565, usercpu_time_millis_testing: 3.503, usercpu_time_millis_training: 29.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.6288, kappa: 0.2585, kb_relative_information_score: 215.9536, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6298, predictive_accuracy: 0.6292, prior_entropy: 1, recall: 0.6292, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9481, scimark_benchmark: 1299.4563, usercpu_time_millis: 96.479, usercpu_time_millis_testing: 3.714, usercpu_time_millis_training: 92.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7248, kappa: 0.4515, kb_relative_information_score: 369.6538, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 1, recall: 0.7258, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9063, scimark_benchmark: 1308.5105, usercpu_time_millis: 160.105, usercpu_time_millis_testing: 3.805, usercpu_time_millis_training: 156.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6347, kappa: 0.27, kb_relative_information_score: 127.0144, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6354, predictive_accuracy: 0.635, prior_entropy: 1, recall: 0.635, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9677, scimark_benchmark: 1296.4917, usercpu_time_millis: 126.572, usercpu_time_millis_testing: 6.833, usercpu_time_millis_training: 119.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.652, kappa: 0.3054, kb_relative_information_score: 199.3128, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6539, predictive_accuracy: 0.6527, prior_entropy: 1, recall: 0.6527, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.475, root_relative_squared_error: 0.95, scimark_benchmark: 1311.109, usercpu_time_millis: 187.811, usercpu_time_millis_testing: 6.607, usercpu_time_millis_training: 181.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.6557, kappa: 0.3123, kb_relative_information_score: 189.1597, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6569, predictive_accuracy: 0.6562, prior_entropy: 1, recall: 0.6562, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9523, scimark_benchmark: 1311.6091, usercpu_time_millis: 124.34, usercpu_time_millis_testing: 4.3, usercpu_time_millis_training: 120.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6026, kappa: 0.2054, kb_relative_information_score: 53.0142, mean_absolute_error: 0.4927, 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: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9865, scimark_benchmark: 1279.8834, usercpu_time_millis: 51.588, usercpu_time_millis_testing: 3.981, usercpu_time_millis_training: 47.607,
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: 1314.0372, usercpu_time_millis: 22.503, usercpu_time_millis_testing: 3.139, usercpu_time_millis_training: 19.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7405, kappa: 0.4831, kb_relative_information_score: 431.9175, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7454, predictive_accuracy: 0.7415, prior_entropy: 1, recall: 0.7415, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8885, scimark_benchmark: 1310.4451, usercpu_time_millis: 174.439, usercpu_time_millis_testing: 3.968, usercpu_time_millis_training: 170.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7422, kappa: 0.4869, kb_relative_information_score: 448.1328, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7483, predictive_accuracy: 0.7435, prior_entropy: 1, recall: 0.7435, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8853, scimark_benchmark: 1306.8076, usercpu_time_millis: 62.475, usercpu_time_millis_testing: 1.981, usercpu_time_millis_training: 60.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6022, kappa: 0.2046, kb_relative_information_score: 74.249, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6024, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9814, scimark_benchmark: 1292.0717, usercpu_time_millis: 52.548, usercpu_time_millis_testing: 3.67, usercpu_time_millis_training: 48.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.6447, kappa: 0.2908, kb_relative_information_score: 221.1029, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6465, predictive_accuracy: 0.6454, prior_entropy: 1, recall: 0.6454, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9482, scimark_benchmark: 1281.1737, usercpu_time_millis: 27.718, usercpu_time_millis_testing: 1.54, usercpu_time_millis_training: 26.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6199, kappa: 0.24, kb_relative_information_score: 75.5136, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6201, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9809, scimark_benchmark: 1293.7784, usercpu_time_millis: 28.214, usercpu_time_millis_testing: 2.323, usercpu_time_millis_training: 25.891,
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: 1310.6306, usercpu_time_millis: 14.311, usercpu_time_millis_testing: 1.576, usercpu_time_millis_training: 12.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6444, kappa: 0.29, kb_relative_information_score: 160.7205, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6459, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9592, scimark_benchmark: 1291.9311, usercpu_time_millis: 83.542, usercpu_time_millis_testing: 3.234, usercpu_time_millis_training: 80.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.6732, kappa: 0.3477, kb_relative_information_score: 215.9092, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6753, predictive_accuracy: 0.6738, prior_entropy: 1, recall: 0.6738, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9453, scimark_benchmark: 1310.0174, usercpu_time_millis: 219.04, usercpu_time_millis_testing: 6.992, usercpu_time_millis_training: 212.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.659, kappa: 0.3192, kb_relative_information_score: 228.56, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6608, predictive_accuracy: 0.6596, prior_entropy: 1, recall: 0.6596, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9427, scimark_benchmark: 1304.0919, usercpu_time_millis: 63.609, usercpu_time_millis_testing: 2.692, usercpu_time_millis_training: 60.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.5842, kappa: 0.1685, kb_relative_information_score: 30.8912, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5843, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1289.0281, usercpu_time_millis: 26.435, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 24.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7377, kappa: 0.4777, kb_relative_information_score: 411.3281, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7433, predictive_accuracy: 0.7388, prior_entropy: 1, recall: 0.7388, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, scimark_benchmark: 1304.0837, usercpu_time_millis: 309.992, usercpu_time_millis_testing: 6.674, usercpu_time_millis_training: 303.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.6127, kappa: 0.2254, kb_relative_information_score: 66.9791, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6127, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9829, scimark_benchmark: 1310.0788, usercpu_time_millis: 57.212, usercpu_time_millis_testing: 4.967, usercpu_time_millis_training: 52.245,

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