Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

38804 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6473, kappa: 0.2954, kb_relative_information_score: 207.1404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6484, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483, scimark_benchmark: 1253.8604, usercpu_time_millis: 45.12, usercpu_time_millis_testing: 2.241, usercpu_time_millis_training: 42.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.6643, kappa: 0.3308, kb_relative_information_score: 238.4128, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6675, predictive_accuracy: 0.6654, prior_entropy: 1, recall: 0.6654, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9407, scimark_benchmark: 1254.0584, usercpu_time_millis: 213.066, usercpu_time_millis_testing: 7.138, usercpu_time_millis_training: 205.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.6169, kappa: 0.2338, kb_relative_information_score: 73.2148, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.617, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9813, scimark_benchmark: 1249.9832, usercpu_time_millis: 90.363, usercpu_time_millis_testing: 5.235, usercpu_time_millis_training: 85.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.6199, kappa: 0.24, kb_relative_information_score: 99.0317, mean_absolute_error: 0.4859, 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: 0.9718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9754, scimark_benchmark: 1232.1294, usercpu_time_millis: 82.84, usercpu_time_millis_testing: 4.764, usercpu_time_millis_training: 78.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6138, kappa: 0.2277, kb_relative_information_score: 58.0283, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6139, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9853, scimark_benchmark: 1244.5213, usercpu_time_millis: 81.46, usercpu_time_millis_testing: 7.035, usercpu_time_millis_training: 74.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7504, kappa: 0.5031, kb_relative_information_score: 469.8059, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.756, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8791, scimark_benchmark: 1268.1915, usercpu_time_millis: 285.043, usercpu_time_millis_testing: 5.425, usercpu_time_millis_training: 279.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.632, kappa: 0.2646, kb_relative_information_score: 139.5646, mean_absolute_error: 0.4799, 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: 0.9598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9652, scimark_benchmark: 1249.937, usercpu_time_millis: 176.811, usercpu_time_millis_testing: 8.182, usercpu_time_millis_training: 168.629,
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: 1239.1159, usercpu_time_millis: 24.882, usercpu_time_millis_testing: 3.097, usercpu_time_millis_training: 21.785,
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: 1261.087, usercpu_time_millis: 21.76, usercpu_time_millis_testing: 2.703, usercpu_time_millis_training: 19.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.639, kappa: 0.2792, kb_relative_information_score: 141.8108, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6405, predictive_accuracy: 0.6396, prior_entropy: 1, recall: 0.6396, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.482, root_relative_squared_error: 0.964, scimark_benchmark: 1263.3478, usercpu_time_millis: 224.685, usercpu_time_millis_testing: 10.674, usercpu_time_millis_training: 214.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.6425, kappa: 0.2854, kb_relative_information_score: 166.6859, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.643, predictive_accuracy: 0.6427, prior_entropy: 1, recall: 0.6427, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9594, scimark_benchmark: 1251.9103, usercpu_time_millis: 40.988, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 39.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.5965, kappa: 0.1931, kb_relative_information_score: 70.6144, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5966, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9832, scimark_benchmark: 1230.1053, usercpu_time_millis: 33.748, usercpu_time_millis_testing: 2.522, usercpu_time_millis_training: 31.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7509, kappa: 0.5038, kb_relative_information_score: 496.8562, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7562, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8717, scimark_benchmark: 1235.6874, usercpu_time_millis: 375.824, usercpu_time_millis_testing: 5.381, usercpu_time_millis_training: 370.443,
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: 1235.6663, usercpu_time_millis: 25.966, usercpu_time_millis_testing: 3.268, usercpu_time_millis_training: 22.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.6713, kappa: 0.3454, kb_relative_information_score: 271.4424, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6757, predictive_accuracy: 0.6727, prior_entropy: 1, recall: 0.6727, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9334, scimark_benchmark: 1242.9452, usercpu_time_millis: 69.684, usercpu_time_millis_testing: 2.391, usercpu_time_millis_training: 67.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7289, kappa: 0.46, kb_relative_information_score: 377.3116, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7339, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9028, scimark_benchmark: 1235.6291, usercpu_time_millis: 426.917, usercpu_time_millis_testing: 10.099, usercpu_time_millis_training: 416.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7111, kappa: 0.4238, kb_relative_information_score: 317.3532, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7143, predictive_accuracy: 0.7119, prior_entropy: 1, recall: 0.7119, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.919, scimark_benchmark: 1244.5864, usercpu_time_millis: 313.936, usercpu_time_millis_testing: 6.717, usercpu_time_millis_training: 307.219,
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: 1239.2638, usercpu_time_millis: 20.838, usercpu_time_millis_testing: 2.878, usercpu_time_millis_training: 17.96,
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: 1246.8726, usercpu_time_millis: 20.534, usercpu_time_millis_testing: 2.513, usercpu_time_millis_training: 18.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.6275, kappa: 0.2554, kb_relative_information_score: 95.802, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6279, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 1264.9425, usercpu_time_millis: 87.188, usercpu_time_millis_testing: 5.077, usercpu_time_millis_training: 82.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7019, kappa: 0.4062, kb_relative_information_score: 302.5558, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7062, predictive_accuracy: 0.7031, prior_entropy: 1, recall: 0.7031, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9233, scimark_benchmark: 1253.2901, usercpu_time_millis: 285.796, usercpu_time_millis_testing: 7.146, usercpu_time_millis_training: 278.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7038, kappa: 0.4108, kb_relative_information_score: 326.6541, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7098, predictive_accuracy: 0.7054, prior_entropy: 1, recall: 0.7054, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.459, root_relative_squared_error: 0.918, scimark_benchmark: 1249.2869, usercpu_time_millis: 267.019, usercpu_time_millis_testing: 5.658, usercpu_time_millis_training: 261.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8008, kappa: 0.6023, kb_relative_information_score: 674.7593, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8033, predictive_accuracy: 0.8012, prior_entropy: 1, recall: 0.8012, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.411, root_relative_squared_error: 0.822, scimark_benchmark: 1243.3805, usercpu_time_millis: 513.146, usercpu_time_millis_testing: 7.012, usercpu_time_millis_training: 506.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.7514, kappa: 0.5046, kb_relative_information_score: 442.8293, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7559, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8853, scimark_benchmark: 1256.0005, usercpu_time_millis: 152.892, usercpu_time_millis_testing: 3.887, usercpu_time_millis_training: 149.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6416, kappa: 0.2846, kb_relative_information_score: 189.4813, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6434, predictive_accuracy: 0.6423, prior_entropy: 1, recall: 0.6423, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9527, scimark_benchmark: 1264.7855, usercpu_time_millis: 44.766, usercpu_time_millis_testing: 2.067, usercpu_time_millis_training: 42.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.6475, kappa: 0.2954, kb_relative_information_score: 148.8078, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6479, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9633, scimark_benchmark: 1247.0323, usercpu_time_millis: 41.326, usercpu_time_millis_testing: 1.971, usercpu_time_millis_training: 39.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8159, kappa: 0.6323, kb_relative_information_score: 752.1008, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8176, predictive_accuracy: 0.8162, prior_entropy: 1, recall: 0.8162, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8007, scimark_benchmark: 1244.5791, usercpu_time_millis: 910.871, usercpu_time_millis_testing: 11.834, usercpu_time_millis_training: 899.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.6361, kappa: 0.2731, kb_relative_information_score: 160.1846, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6373, predictive_accuracy: 0.6365, prior_entropy: 1, recall: 0.6365, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 1259.7714, usercpu_time_millis: 66.849, usercpu_time_millis_testing: 2.863, usercpu_time_millis_training: 63.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.5984, kappa: 0.1969, kb_relative_information_score: 36.4838, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1239.0486, usercpu_time_millis: 34.415, usercpu_time_millis_testing: 3.094, usercpu_time_millis_training: 31.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.6517, kappa: 0.3046, kb_relative_information_score: 226.4527, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6533, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9449, scimark_benchmark: 1256.5706, usercpu_time_millis: 30.69, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 29.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7338, kappa: 0.47, kb_relative_information_score: 379.895, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7393, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9019, scimark_benchmark: 1253.6815, usercpu_time_millis: 214.509, usercpu_time_millis_testing: 4.735, usercpu_time_millis_training: 209.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.6032, kappa: 0.2069, kb_relative_information_score: 90.1719, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6037, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9782, scimark_benchmark: 1261.7224, usercpu_time_millis: 21.482, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 20.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6236, kappa: 0.2477, kb_relative_information_score: 99.7831, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6241, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.975, scimark_benchmark: 1253.5574, usercpu_time_millis: 98.185, usercpu_time_millis_testing: 5.723, usercpu_time_millis_training: 92.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7322, kappa: 0.4662, kb_relative_information_score: 404.0495, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7362, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.8976, scimark_benchmark: 1240.2325, usercpu_time_millis: 81.851, usercpu_time_millis_testing: 2.643, usercpu_time_millis_training: 79.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7313, kappa: 0.4646, kb_relative_information_score: 371.0388, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7357, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9041, scimark_benchmark: 1254.0671, usercpu_time_millis: 579.033, usercpu_time_millis_testing: 14.064, usercpu_time_millis_training: 564.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6481, kappa: 0.2969, kb_relative_information_score: 157.2902, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6491, predictive_accuracy: 0.6485, prior_entropy: 1, recall: 0.6485, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9602, scimark_benchmark: 1262.4304, usercpu_time_millis: 293.146, usercpu_time_millis_testing: 12.831, usercpu_time_millis_training: 280.315,
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: 1234.7362, usercpu_time_millis: 15.051, usercpu_time_millis_testing: 1.765, usercpu_time_millis_training: 13.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.6493, kappa: 0.2992, kb_relative_information_score: 179.3742, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6501, predictive_accuracy: 0.6496, prior_entropy: 1, recall: 0.6496, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9547, scimark_benchmark: 1264.5628, usercpu_time_millis: 243.74, usercpu_time_millis_testing: 11.753, usercpu_time_millis_training: 231.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.692, kappa: 0.3854, kb_relative_information_score: 250.2641, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6944, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9366, scimark_benchmark: 1253.8984, usercpu_time_millis: 155.856, usercpu_time_millis_testing: 5.282, usercpu_time_millis_training: 150.574,
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: 0.6372, f_measure: 0.5977, kappa: 0.1954, kb_relative_information_score: 25.7465, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1233.0187, usercpu_time_millis: 32.338, usercpu_time_millis_testing: 2.922, usercpu_time_millis_training: 29.416,
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: 1244.1294, usercpu_time_millis: 24.613, usercpu_time_millis_testing: 2.994, usercpu_time_millis_training: 21.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1256.4644, usercpu_time_millis: 12.652, usercpu_time_millis_testing: 1.772, usercpu_time_millis_training: 10.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.6048, kappa: 0.21, kb_relative_information_score: 59.7256, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6052, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.985, scimark_benchmark: 1259.6488, usercpu_time_millis: 16.272, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 14.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5346, kappa: 0.0692, kb_relative_information_score: 69.1258, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5346, predictive_accuracy: 0.5346, prior_entropy: 1, recall: 0.5346, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0173, scimark_benchmark: 1234.0109, usercpu_time_millis: 10.637, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 9.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.6488, kappa: 0.2985, kb_relative_information_score: 174.6047, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.65, predictive_accuracy: 0.6492, prior_entropy: 1, recall: 0.6492, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9574, scimark_benchmark: 1246.6785, usercpu_time_millis: 29.13, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 27.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7279, kappa: 0.4585, kb_relative_information_score: 383.6699, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7338, predictive_accuracy: 0.7292, prior_entropy: 1, recall: 0.7292, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9026, scimark_benchmark: 1240.4951, usercpu_time_millis: 501.52, usercpu_time_millis_testing: 11.575, usercpu_time_millis_training: 489.945,
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: 1264.5176, usercpu_time_millis: 22.335, usercpu_time_millis_testing: 3.025, usercpu_time_millis_training: 19.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.5985, kappa: 0.1969, kb_relative_information_score: 31.8481, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9919, scimark_benchmark: 1258.5089, usercpu_time_millis: 13.511, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 12.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6237, kappa: 0.2477, kb_relative_information_score: 59.5909, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.624, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1246.8169, usercpu_time_millis: 209.319, usercpu_time_millis_testing: 13.903, usercpu_time_millis_training: 195.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.6876, kappa: 0.3769, kb_relative_information_score: 250.0793, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6905, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9361, scimark_benchmark: 1233.3554, usercpu_time_millis: 615.513, usercpu_time_millis_testing: 17.151, usercpu_time_millis_training: 598.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6122, kappa: 0.2246, kb_relative_information_score: 92.5963, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6124, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9768, scimark_benchmark: 1261.7413, usercpu_time_millis: 52.658, usercpu_time_millis_testing: 3.81, usercpu_time_millis_training: 48.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6321, kappa: 0.2646, kb_relative_information_score: 189.6243, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6326, predictive_accuracy: 0.6323, prior_entropy: 1, recall: 0.6323, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9531, scimark_benchmark: 1253.9815, usercpu_time_millis: 141.614, usercpu_time_millis_testing: 4.943, usercpu_time_millis_training: 136.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.6088, kappa: 0.2177, kb_relative_information_score: 14.1188, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6089, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9963, scimark_benchmark: 1248.1841, usercpu_time_millis: 19.279, usercpu_time_millis_testing: 2.052, usercpu_time_millis_training: 17.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.744, kappa: 0.49, kb_relative_information_score: 460.4129, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.749, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8822, scimark_benchmark: 1242.9909, usercpu_time_millis: 402.419, usercpu_time_millis_testing: 5.507, usercpu_time_millis_training: 396.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7425, kappa: 0.4877, kb_relative_information_score: 456.7385, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7492, predictive_accuracy: 0.7438, prior_entropy: 1, recall: 0.7438, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8831, scimark_benchmark: 1254.6547, usercpu_time_millis: 459.238, usercpu_time_millis_testing: 7.526, usercpu_time_millis_training: 451.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 63.4823, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9839, scimark_benchmark: 1243.8262, usercpu_time_millis: 73.898, usercpu_time_millis_testing: 6.193, usercpu_time_millis_training: 67.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.601, kappa: 0.2023, kb_relative_information_score: 67.8737, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6013, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9831, scimark_benchmark: 1237.0763, usercpu_time_millis: 34.401, usercpu_time_millis_testing: 2.765, usercpu_time_millis_training: 31.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7267, kappa: 0.4562, kb_relative_information_score: 348.4617, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7329, predictive_accuracy: 0.7281, prior_entropy: 1, recall: 0.7281, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9113, scimark_benchmark: 1247.5679, usercpu_time_millis: 349.78, usercpu_time_millis_testing: 7.18, usercpu_time_millis_training: 342.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.6709, kappa: 0.3438, kb_relative_information_score: 250.2689, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.674, predictive_accuracy: 0.6719, prior_entropy: 1, recall: 0.6719, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9384, scimark_benchmark: 1238.9369, usercpu_time_millis: 184.384, usercpu_time_millis_testing: 5.043, usercpu_time_millis_training: 179.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6429, kappa: 0.2862, kb_relative_information_score: 151.4088, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6433, predictive_accuracy: 0.6431, prior_entropy: 1, recall: 0.6431, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9621, scimark_benchmark: 1220.3153, usercpu_time_millis: 97.969, usercpu_time_millis_testing: 5.997, usercpu_time_millis_training: 91.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6181, kappa: 0.2362, kb_relative_information_score: 59.7921, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6181, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9846, scimark_benchmark: 1236.2013, usercpu_time_millis: 86.867, usercpu_time_millis_testing: 6.502, usercpu_time_millis_training: 80.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7119, kappa: 0.4262, kb_relative_information_score: 314.7452, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7165, predictive_accuracy: 0.7131, prior_entropy: 1, recall: 0.7131, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9201, scimark_benchmark: 1248.747, usercpu_time_millis: 227.826, usercpu_time_millis_testing: 6.219, usercpu_time_millis_training: 221.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7578, kappa: 0.5177, kb_relative_information_score: 514.7721, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7633, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8664, scimark_benchmark: 1255.1062, usercpu_time_millis: 847.837, usercpu_time_millis_testing: 14.936, usercpu_time_millis_training: 832.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7558, kappa: 0.5138, kb_relative_information_score: 506.196, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7619, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8685, scimark_benchmark: 1264.4282, usercpu_time_millis: 1253.59, usercpu_time_millis_testing: 14.741, usercpu_time_millis_training: 1238.849,
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: 1257.9447, usercpu_time_millis: 19.1, usercpu_time_millis_testing: 2.496, usercpu_time_millis_training: 16.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6365, kappa: 0.2738, kb_relative_information_score: 220.893, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6376, predictive_accuracy: 0.6369, prior_entropy: 1, recall: 0.6369, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9464, scimark_benchmark: 1244.8438, usercpu_time_millis: 60.637, usercpu_time_millis_testing: 2.216, usercpu_time_millis_training: 58.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.5995, kappa: 0.1992, kb_relative_information_score: 49.2609, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5997, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9874, scimark_benchmark: 1259.1195, usercpu_time_millis: 17.755, usercpu_time_millis_testing: 1.556, usercpu_time_millis_training: 16.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6248, kappa: 0.25, kb_relative_information_score: 73.8482, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6252, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9811, scimark_benchmark: 1253.6544, usercpu_time_millis: 95.041, usercpu_time_millis_testing: 6.258, usercpu_time_millis_training: 88.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.6952, kappa: 0.3923, kb_relative_information_score: 254.2361, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6987, predictive_accuracy: 0.6962, prior_entropy: 1, recall: 0.6962, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.935, scimark_benchmark: 1244.2326, usercpu_time_millis: 472.931, usercpu_time_millis_testing: 13.798, usercpu_time_millis_training: 459.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6367, kappa: 0.2746, kb_relative_information_score: 198.605, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6382, predictive_accuracy: 0.6373, prior_entropy: 1, recall: 0.6373, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9515, scimark_benchmark: 1230.5633, usercpu_time_millis: 55.209, usercpu_time_millis_testing: 2.55, usercpu_time_millis_training: 52.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7298, kappa: 0.4623, kb_relative_information_score: 358.5649, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.736, predictive_accuracy: 0.7312, prior_entropy: 1, recall: 0.7312, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9077, scimark_benchmark: 1225.3262, usercpu_time_millis: 926.544, usercpu_time_millis_testing: 17.137, usercpu_time_millis_training: 909.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.6596, kappa: 0.32, kb_relative_information_score: 203.5558, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6608, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483, scimark_benchmark: 1251.0467, usercpu_time_millis: 72.452, usercpu_time_millis_testing: 2.703, usercpu_time_millis_training: 69.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.638, kappa: 0.2762, kb_relative_information_score: 161.0292, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6381, predictive_accuracy: 0.6381, prior_entropy: 1, recall: 0.6381, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9618, scimark_benchmark: 1240.8273, usercpu_time_millis: 38.221, usercpu_time_millis_testing: 1.957, usercpu_time_millis_training: 36.264,
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: 1253.3474, usercpu_time_millis: 13.687, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 12.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.6025, kappa: 0.2054, kb_relative_information_score: 90.0787, mean_absolute_error: 0.4872, 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: 0.9745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9778, scimark_benchmark: 1245.8763, usercpu_time_millis: 41.784, usercpu_time_millis_testing: 2.384, usercpu_time_millis_training: 39.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6092, kappa: 0.2185, kb_relative_information_score: 90.5279, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9772, scimark_benchmark: 1262.3901, usercpu_time_millis: 88.947, usercpu_time_millis_testing: 5.815, usercpu_time_millis_training: 83.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7324, kappa: 0.4677, kb_relative_information_score: 384.751, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.739, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9008, scimark_benchmark: 1262.7389, usercpu_time_millis: 979.097, usercpu_time_millis_testing: 16.702, usercpu_time_millis_training: 962.395,
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: 0.7905, f_measure: 0.7174, kappa: 0.4377, kb_relative_information_score: 359.351, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7234, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9095, scimark_benchmark: 1235.248, usercpu_time_millis: 48.978, usercpu_time_millis_testing: 1.762, usercpu_time_millis_training: 47.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6061, kappa: 0.2123, kb_relative_information_score: 119.4985, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6062, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9719, scimark_benchmark: 1246.4343, usercpu_time_millis: 44.741, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 41.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.6972, kappa: 0.3977, kb_relative_information_score: 318.7892, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7031, predictive_accuracy: 0.6988, prior_entropy: 1, recall: 0.6988, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9204, scimark_benchmark: 1241.3545, usercpu_time_millis: 187.665, usercpu_time_millis_testing: 4.744, usercpu_time_millis_training: 182.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.6068, kappa: 0.2138, kb_relative_information_score: 102.7334, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6071, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9754, scimark_benchmark: 1247.7764, usercpu_time_millis: 31.46, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 29.251,
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: 1260.6001, usercpu_time_millis: 21.528, usercpu_time_millis_testing: 3.134, usercpu_time_millis_training: 18.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7294, kappa: 0.4608, kb_relative_information_score: 366.0188, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7338, predictive_accuracy: 0.7304, prior_entropy: 1, recall: 0.7304, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.453, root_relative_squared_error: 0.906, scimark_benchmark: 1239.1643, usercpu_time_millis: 581.995, usercpu_time_millis_testing: 10.254, usercpu_time_millis_training: 571.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6259, kappa: 0.2523, kb_relative_information_score: 135.1472, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6266, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9663, scimark_benchmark: 1250.3342, usercpu_time_millis: 132.508, usercpu_time_millis_testing: 6.138, usercpu_time_millis_training: 126.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.6988, kappa: 0.3992, kb_relative_information_score: 277.8347, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7019, predictive_accuracy: 0.6996, prior_entropy: 1, recall: 0.6996, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9294, scimark_benchmark: 1241.4975, usercpu_time_millis: 130.621, usercpu_time_millis_testing: 3.83, usercpu_time_millis_training: 126.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.6284, kappa: 0.2569, kb_relative_information_score: 118.241, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6286, predictive_accuracy: 0.6285, prior_entropy: 1, recall: 0.6285, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.97, scimark_benchmark: 1240.0986, usercpu_time_millis: 94.011, usercpu_time_millis_testing: 4.813, usercpu_time_millis_training: 89.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.6131, kappa: 0.2262, kb_relative_information_score: 93.4763, mean_absolute_error: 0.4868, 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: 0.9736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9764, scimark_benchmark: 1258.2551, usercpu_time_millis: 92.692, usercpu_time_millis_testing: 5.749, usercpu_time_millis_training: 86.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7415, kappa: 0.4862, kb_relative_information_score: 415.221, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7491, predictive_accuracy: 0.7431, prior_entropy: 1, recall: 0.7431, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8929, scimark_benchmark: 1228.2311, usercpu_time_millis: 585.729, usercpu_time_millis_testing: 9.108, usercpu_time_millis_training: 576.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7746, kappa: 0.5508, kb_relative_information_score: 595.9604, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7794, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8445, scimark_benchmark: 1230.951, usercpu_time_millis: 397.813, usercpu_time_millis_testing: 5.692, usercpu_time_millis_training: 392.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6287, kappa: 0.2577, kb_relative_information_score: 120.6685, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.629, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9693, scimark_benchmark: 1250.9379, usercpu_time_millis: 135.248, usercpu_time_millis_testing: 8.614, usercpu_time_millis_training: 126.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.6186, kappa: 0.2377, kb_relative_information_score: 115.1777, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6191, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9715, scimark_benchmark: 1256.7759, usercpu_time_millis: 127.677, usercpu_time_millis_testing: 7.16, usercpu_time_millis_training: 120.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6318, kappa: 0.2638, kb_relative_information_score: 118.6361, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6321, predictive_accuracy: 0.6319, prior_entropy: 1, recall: 0.6319, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9705, scimark_benchmark: 1255.7557, usercpu_time_millis: 37.187, usercpu_time_millis_testing: 2.632, usercpu_time_millis_training: 34.555,
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: 1260.2805, usercpu_time_millis: 19.904, usercpu_time_millis_testing: 2.458, usercpu_time_millis_training: 17.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6061, kappa: 0.2123, kb_relative_information_score: 41.1527, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6062, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 1264.7139, usercpu_time_millis: 115.626, usercpu_time_millis_testing: 9.982, usercpu_time_millis_training: 105.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6099, kappa: 0.22, kb_relative_information_score: 33.3665, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6101, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1259.0476, usercpu_time_millis: 114.039, usercpu_time_millis_testing: 8.221, usercpu_time_millis_training: 105.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.6791, kappa: 0.3592, kb_relative_information_score: 297.0708, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6807, predictive_accuracy: 0.6796, prior_entropy: 1, recall: 0.6796, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9285, scimark_benchmark: 1261.9369, usercpu_time_millis: 40.213, usercpu_time_millis_testing: 1.576, usercpu_time_millis_training: 38.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.5996, kappa: 0.1992, kb_relative_information_score: 37.5311, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5997, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9903, scimark_benchmark: 1243.1963, usercpu_time_millis: 19.776, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 18.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7215, kappa: 0.4454, kb_relative_information_score: 333.0255, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7266, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9144, scimark_benchmark: 1261.4969, usercpu_time_millis: 502.153, usercpu_time_millis_testing: 12.943, usercpu_time_millis_training: 489.21,

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