OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 145847 Supervised Classification hill-valley 92422 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

92422 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: 0.5599, f_measure: 0.5412, kappa: 0.0825, kb_relative_information_score: 37.5072, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5413, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1868.0701, usercpu_time_millis: 6.037, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 5.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5551, kappa: 0.1106, kb_relative_information_score: 50.5393, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5554, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 1882.0979, usercpu_time_millis: 55.456, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 54.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.5634, kappa: 0.1287, kb_relative_information_score: 47.5861, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5649, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 1873.087, usercpu_time_millis: 48.717, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 47.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.5958, kappa: 0.1931, kb_relative_information_score: 99.4949, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5972, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1871.3742, usercpu_time_millis: 17.974, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 17.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 75.9133, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5751, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9836, scimark_benchmark: 1875.0095, usercpu_time_millis: 98.736, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 97.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 61.4826, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9839, scimark_benchmark: 1833.3512, usercpu_time_millis: 87.209, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 86.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5541, kappa: 0.1089, kb_relative_information_score: 81.1748, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5546, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1760.5675, usercpu_time_millis: 3.747, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 3.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 87.4763, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.581, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9857, scimark_benchmark: 1857.4999, usercpu_time_millis: 94.056, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 93.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 64.0523, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1849.2764, usercpu_time_millis: 20.959, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 20.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 84.1542, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.983, scimark_benchmark: 1872.8797, usercpu_time_millis: 80.003, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 79.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 81.6512, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9836, scimark_benchmark: 1733.5607, usercpu_time_millis: 55.699, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 55.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.5823, kappa: 0.165, kb_relative_information_score: 95.0397, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5827, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1871.3226, usercpu_time_millis: 48.437, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 47.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.5682, kappa: 0.137, kb_relative_information_score: 81.2301, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5686, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9981, scimark_benchmark: 1876.7581, usercpu_time_millis: 13.281, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 13.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 83.9603, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9953, scimark_benchmark: 1769.8974, usercpu_time_millis: 24.511, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 23.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.5814, kappa: 0.1634, kb_relative_information_score: 113.1185, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5819, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0162, scimark_benchmark: 1811.059, usercpu_time_millis: 90.721, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 90.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.5675, kappa: 0.1353, kb_relative_information_score: 98.8444, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0216, scimark_benchmark: 1874.4489, usercpu_time_millis: 3.779, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 3.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.5806, kappa: 0.1617, kb_relative_information_score: 97.2551, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.581, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1874.2017, usercpu_time_millis: 94.066, usercpu_time_millis_testing: 1.269, usercpu_time_millis_training: 92.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5386, kappa: 0.0776, kb_relative_information_score: 34.3108, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5388, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0037, scimark_benchmark: 1873.4078, usercpu_time_millis: 9.868, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 9.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 61.3359, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5718, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1872.9496, usercpu_time_millis: 18.796, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 18.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.571, kappa: 0.1419, kb_relative_information_score: 65.5518, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.571, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9847, scimark_benchmark: 1876.7581, usercpu_time_millis: 82.005, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 81.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 83.7057, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1851.4926, usercpu_time_millis: 101.957, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 100.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, f_measure: 0.5773, kappa: 0.1551, kb_relative_information_score: 84.2941, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5778, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1873.4078, usercpu_time_millis: 19.123, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 18.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.528, kappa: 0.0561, kb_relative_information_score: 34.8041, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5281, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1755.7325, usercpu_time_millis: 53.816, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 52.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.5646, kappa: 0.1304, kb_relative_information_score: 50.8205, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5655, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9863, scimark_benchmark: 1872.9496, usercpu_time_millis: 46.599, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 45.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.5607, kappa: 0.1221, kb_relative_information_score: 52.9292, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5612, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9856, scimark_benchmark: 1769.7331, usercpu_time_millis: 67.904, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 66.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.5261, kappa: 0.0528, kb_relative_information_score: 25.677, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5265, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1747.7583, usercpu_time_millis: 9.319, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 9.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5559, kappa: 0.1122, kb_relative_information_score: 61.6612, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5562, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1869.1727, usercpu_time_millis: 8.777, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 8.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.5593, kappa: 0.1188, kb_relative_information_score: 64.9017, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5595, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1873.4078, usercpu_time_millis: 41.048, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 40.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 73.3608, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5785, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9815, scimark_benchmark: 1873.4078, usercpu_time_millis: 14.098, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 13.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 94.3885, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5835, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1777.8729, usercpu_time_millis: 67.298, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 66.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.5454, kappa: 0.0908, kb_relative_information_score: 47.0147, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5454, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1872.9496, usercpu_time_millis: 70.963, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 70.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.5757, kappa: 0.1518, kb_relative_information_score: 88.5988, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5761, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1768.1314, usercpu_time_millis: 107.199, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 105.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 92.3012, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1766.9068, usercpu_time_millis: 106.777, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 104.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.5865, kappa: 0.1733, kb_relative_information_score: 101.425, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5868, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1872.4216, usercpu_time_millis: 42.827, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 42.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5443, kappa: 0.0891, kb_relative_information_score: 60.4227, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5446, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1874.4489, usercpu_time_millis: 11.571, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 11.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 78.7058, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1874.977, usercpu_time_millis: 79.356, usercpu_time_millis_testing: 2.064, usercpu_time_millis_training: 77.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.5611, kappa: 0.1221, kb_relative_information_score: 67.7554, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5611, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9845, scimark_benchmark: 1838.0543, usercpu_time_millis: 25.742, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 25.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.5757, kappa: 0.1518, kb_relative_information_score: 86.7681, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1767.4034, usercpu_time_millis: 58.969, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 58.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5708, kappa: 0.1419, kb_relative_information_score: 85.038, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5711, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1872.4216, usercpu_time_millis: 92.586, usercpu_time_millis_testing: 1.511, usercpu_time_millis_training: 91.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5708, kappa: 0.1419, kb_relative_information_score: 75.5081, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.571, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1872.4881, usercpu_time_millis: 47.8, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 46.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.5699, kappa: 0.1403, kb_relative_information_score: 86.2201, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5703, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1872.9496, usercpu_time_millis: 81.979, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 80.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 63.3813, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1768.6501, usercpu_time_millis: 30.276, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 29.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 59.7233, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9862, scimark_benchmark: 1762.9135, usercpu_time_millis: 20.903, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 20.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5374, f_measure: 0.5184, kappa: 0.038, kb_relative_information_score: 23.0243, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5191, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0033, scimark_benchmark: 1871.8964, usercpu_time_millis: 0.628, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 114.1527, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0217, scimark_benchmark: 1870.8644, usercpu_time_millis: 60.435, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 60.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 48.5764, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1873.4078, usercpu_time_millis: 37.394, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 35.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.5708, kappa: 0.1419, kb_relative_information_score: 63.6384, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5711, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1871.2001, usercpu_time_millis: 26.052, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 25.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5449, kappa: 0.0924, kb_relative_information_score: 44.2132, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5468, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1873.4078, usercpu_time_millis: 46.521, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 45.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.5634, kappa: 0.1271, kb_relative_information_score: 61.6961, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5636, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9835, scimark_benchmark: 1876.7581, usercpu_time_millis: 47.565, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 47.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 87.8446, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9814, scimark_benchmark: 1868.9644, usercpu_time_millis: 37.73, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 37.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5641, kappa: 0.1287, kb_relative_information_score: 87.5611, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5645, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1972.6938, usercpu_time_millis: 16.391, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 16.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5408, kappa: 0.0858, kb_relative_information_score: 42.0025, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5437, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1760.04, usercpu_time_millis: 56.303, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 55.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.5573, kappa: 0.1172, kb_relative_information_score: 49.6909, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5593, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9859, scimark_benchmark: 1873.4078, usercpu_time_millis: 49.023, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 48.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 89.6701, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9925, scimark_benchmark: 1871.3925, usercpu_time_millis: 27.767, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 27.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 83.1133, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5734, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9827, scimark_benchmark: 1756.8154, usercpu_time_millis: 79.308, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 78.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.5797, kappa: 0.1601, kb_relative_information_score: 109.9962, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5803, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0083, scimark_benchmark: 1865.8853, usercpu_time_millis: 53.361, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 53.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5492, kappa: 0.1007, kb_relative_information_score: 45.7394, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5508, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9878, scimark_benchmark: 1869.1727, usercpu_time_millis: 40.24, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 39.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.5709, kappa: 0.1419, kb_relative_information_score: 64.0753, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.571, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.003, scimark_benchmark: 1846.252, usercpu_time_millis: 3.21, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 3.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 54.3663, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1872.4881, usercpu_time_millis: 24.708, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 23.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 75.0074, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9836, scimark_benchmark: 2168.0736, usercpu_time_millis: 15.507, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 15.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.5792, kappa: 0.1584, kb_relative_information_score: 73.403, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.983, scimark_benchmark: 1783.1438, usercpu_time_millis: 79.673, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 79.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.5626, kappa: 0.1254, kb_relative_information_score: 62.1909, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5628, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1760.907, usercpu_time_millis: 66.897, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 65.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.5503, kappa: 0.1007, kb_relative_information_score: 48.4197, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5504, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1859.7012, usercpu_time_millis: 60.891, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 59.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 66.9447, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5701, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, scimark_benchmark: 1750.7948, usercpu_time_millis: 109.097, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 108.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.5717, kappa: 0.1436, kb_relative_information_score: 76.1604, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5719, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1869.6309, usercpu_time_millis: 65.822, usercpu_time_millis_testing: 2.326, usercpu_time_millis_training: 63.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 84.9838, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1871.3925, usercpu_time_millis: 48.853, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 48.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.5707, kappa: 0.1419, kb_relative_information_score: 75.6331, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5712, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1831.6099, usercpu_time_millis: 123.872, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 122.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.5203, kappa: 0.0413, kb_relative_information_score: 24.0774, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5207, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1870.6721, usercpu_time_millis: 37.138, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 36.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 82.7102, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5726, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1860.0553, usercpu_time_millis: 74.762, usercpu_time_millis_testing: 2.489, usercpu_time_millis_training: 72.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 93.1248, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9897, scimark_benchmark: 1872.8797, usercpu_time_millis: 23.354, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 23.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 82.5796, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9837, scimark_benchmark: 1870.4887, usercpu_time_millis: 97.878, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 97.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 61.8277, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5727, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9826, scimark_benchmark: 1830.593, usercpu_time_millis: 117.002, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 115.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 66.1844, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9857, scimark_benchmark: 1872.9496, usercpu_time_millis: 121.29, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 119.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 56.2743, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1872.9496, usercpu_time_millis: 25.752, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 24.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 58.0751, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1872.9496, usercpu_time_millis: 22.241, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 21.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, f_measure: 0.5139, kappa: 0.0281, kb_relative_information_score: 22.4623, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.514, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0019, scimark_benchmark: 1846.5588, usercpu_time_millis: 5.186, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 5.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.5659, kappa: 0.132, kb_relative_information_score: 67.7942, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5661, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9829, scimark_benchmark: 1877.2162, usercpu_time_millis: 20.457, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 20.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 57.1504, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1762.5035, usercpu_time_millis: 72.6, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 70.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 74.2671, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1968.8107, usercpu_time_millis: 71.139, usercpu_time_millis_testing: 2.025, usercpu_time_millis_training: 69.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 75.2868, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 1868.7188, usercpu_time_millis: 12.911, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 12.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, f_measure: 0.5897, kappa: 0.1799, kb_relative_information_score: 100.238, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5901, predictive_accuracy: 0.5899, prior_entropy: 1, recall: 0.5899, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1843.5022, usercpu_time_millis: 90.511, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 90.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 98.1938, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1870.2139, usercpu_time_millis: 26.609, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 26.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.5831, kappa: 0.1667, kb_relative_information_score: 100.2342, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5835, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9953, scimark_benchmark: 1873.4078, usercpu_time_millis: 36.594, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 36.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5487, kappa: 0.0974, kb_relative_information_score: 43.533, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5487, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005, scimark_benchmark: 1848.1429, usercpu_time_millis: 10.587, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 9.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.5872, kappa: 0.1749, kb_relative_information_score: 99.8691, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5876, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9935, scimark_benchmark: 1872.4216, usercpu_time_millis: 42.471, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 42.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.5545, kappa: 0.1089, kb_relative_information_score: 45.2257, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5545, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1871.4349, usercpu_time_millis: 21.083, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 19.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 72.9913, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.581, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9819, scimark_benchmark: 1869.1727, usercpu_time_millis: 9.835, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 9.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 84.5795, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5784, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1873.9387, usercpu_time_millis: 85.741, usercpu_time_millis_testing: 2.878, usercpu_time_millis_training: 82.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 85.4131, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5785, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1874.977, usercpu_time_millis: 24.126, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 23.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.585, kappa: 0.17, kb_relative_information_score: 93.3244, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.585, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1779.8932, usercpu_time_millis: 14.308, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 14.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.5815, kappa: 0.1634, kb_relative_information_score: 101.5694, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5818, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9995, scimark_benchmark: 1873.4078, usercpu_time_millis: 112.361, usercpu_time_millis_testing: 1.389, usercpu_time_millis_training: 110.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 90.8167, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1869.1029, usercpu_time_millis: 45.849, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 44.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 87.2657, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5825, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9846, scimark_benchmark: 1748.4022, usercpu_time_millis: 32.173, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 32.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 56.1664, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.552, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1909.1211, usercpu_time_millis: 27.545, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 27.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 94.8376, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1871.9601, usercpu_time_millis: 120.889, usercpu_time_millis_testing: 2.431, usercpu_time_millis_training: 118.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.578, kappa: 0.1568, kb_relative_information_score: 90.2544, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5787, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1860.1976, usercpu_time_millis: 68.216, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 67.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 67.3871, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9854, scimark_benchmark: 1882.2002, usercpu_time_millis: 66.452, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 65.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.5338, kappa: 0.0677, kb_relative_information_score: 40.3355, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5338, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1747.0379, usercpu_time_millis: 20.458, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 19.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 82.5721, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5727, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9844, scimark_benchmark: 1857.9581, usercpu_time_millis: 131.525, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 130.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.5838, kappa: 0.1683, kb_relative_information_score: 100.157, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5845, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1871.5019, usercpu_time_millis: 105.67, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 105.111,

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