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: 0.5569, f_measure: 0.5415, kappa: 0.0858, kb_relative_information_score: 26.6986, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5435, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1842.6083, usercpu_time_millis: 66.34, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 65.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 64.7232, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5653, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1868.0738, usercpu_time_millis: 40.476, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 39.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5789, kappa: 0.1584, kb_relative_information_score: 80.3674, mean_absolute_error: 0.4725, 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: 0.945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9902, scimark_benchmark: 1919.2484, usercpu_time_millis: 49.006, usercpu_time_millis_testing: 1.251, usercpu_time_millis_training: 47.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5378, kappa: 0.0792, kb_relative_information_score: 20.2458, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5402, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9945, scimark_benchmark: 1873.5991, usercpu_time_millis: 40.684, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 40.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.5809, kappa: 0.1617, kb_relative_information_score: 81.5953, mean_absolute_error: 0.4719, 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: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 1867.725, usercpu_time_millis: 59.608, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 58.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5198, kappa: 0.0446, kb_relative_information_score: 15.825, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5227, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9969, scimark_benchmark: 1861.7123, usercpu_time_millis: 80.291, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 79.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.5823, kappa: 0.165, kb_relative_information_score: 98.5649, mean_absolute_error: 0.466, 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: 0.9319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, scimark_benchmark: 1868.2531, usercpu_time_millis: 72.439, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 71.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.5957, kappa: 0.1914, kb_relative_information_score: 96.3365, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5957, predictive_accuracy: 0.5957, prior_entropy: 1, recall: 0.5957, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9757, scimark_benchmark: 1864.5074, usercpu_time_millis: 67.579, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 67.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.5907, kappa: 0.1815, kb_relative_information_score: 92.2477, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5908, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 1874.0573, usercpu_time_millis: 55.427, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 55.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 68.4848, mean_absolute_error: 0.4769, 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: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1869.6309, usercpu_time_millis: 53.262, usercpu_time_millis_testing: 2.299, usercpu_time_millis_training: 50.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 77.2109, mean_absolute_error: 0.4735, 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: 0.9469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1825.6113, usercpu_time_millis: 89.693, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 89.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, f_measure: 0.5223, kappa: 0.0512, kb_relative_information_score: 16.5498, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5263, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1870.2139, usercpu_time_millis: 56.387, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 55.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.5998, kappa: 0.1997, kb_relative_information_score: 115.4166, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5999, predictive_accuracy: 0.5998, prior_entropy: 1, recall: 0.5998, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1874.977, usercpu_time_millis: 86.221, usercpu_time_millis_testing: 1.915, usercpu_time_millis_training: 84.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 70.3603, mean_absolute_error: 0.4762, 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: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 1874.5188, usercpu_time_millis: 81.481, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 80.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5576, kappa: 0.1155, kb_relative_information_score: 57.0031, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5579, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1872.546, usercpu_time_millis: 64.021, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 63.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.5463, kappa: 0.0957, kb_relative_information_score: 35.9968, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5485, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9902, scimark_benchmark: 1867.725, usercpu_time_millis: 80.036, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 79.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.5714, kappa: 0.1436, kb_relative_information_score: 87.8216, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5721, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1872.4881, usercpu_time_millis: 63.364, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 62.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.5206, kappa: 0.0462, kb_relative_information_score: 15.792, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5236, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1873.4078, usercpu_time_millis: 65.973, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 65.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.5691, kappa: 0.1386, kb_relative_information_score: 73.2492, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5694, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9905, scimark_benchmark: 1873.4805, usercpu_time_millis: 98.025, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 97.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.5665, kappa: 0.1337, kb_relative_information_score: 47.2152, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.567, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1850.9399, usercpu_time_millis: 112.145, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 111.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.5368, kappa: 0.0743, kb_relative_information_score: 42.5431, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5372, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1874.5188, usercpu_time_millis: 74.006, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 73.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.5284, kappa: 0.0611, kb_relative_information_score: 15.3691, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5311, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9967, scimark_benchmark: 1873.615, usercpu_time_millis: 97.982, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 97.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.6003, kappa: 0.2013, kb_relative_information_score: 114.2612, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.601, predictive_accuracy: 0.6007, prior_entropy: 1, recall: 0.6007, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9971, scimark_benchmark: 1867.725, usercpu_time_millis: 116.308, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 115.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.553, kappa: 0.1073, kb_relative_information_score: 45.378, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5539, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9899, scimark_benchmark: 1866.9264, usercpu_time_millis: 86.32, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 85.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5489, kappa: 0.099, kb_relative_information_score: 37.3985, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5498, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9909, scimark_benchmark: 1840.0237, usercpu_time_millis: 67.718, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 67.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.5223, kappa: 0.0479, kb_relative_information_score: 13.1256, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5243, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9969, scimark_benchmark: 1869.6309, usercpu_time_millis: 81.982, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 81.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.5823, kappa: 0.165, kb_relative_information_score: 99.5393, mean_absolute_error: 0.4654, 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: 0.9308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1827.9787, usercpu_time_millis: 100.595, usercpu_time_millis_testing: 2.221, usercpu_time_millis_training: 98.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 62.5896, mean_absolute_error: 0.4788, 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: 0.9576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1871.2001, usercpu_time_millis: 116.298, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 115.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.5353, kappa: 0.071, kb_relative_information_score: 43.8074, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5355, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9935, scimark_benchmark: 1868.7112, usercpu_time_millis: 85.334, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 84.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.5864, kappa: 0.1733, kb_relative_information_score: 98.4534, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5869, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1868.7112, usercpu_time_millis: 116.949, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 115.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.5841, kappa: 0.1683, kb_relative_information_score: 72.0547, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5842, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1864.9731, usercpu_time_millis: 96.587, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 95.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 55.2204, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 1856.5458, usercpu_time_millis: 130.802, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 129.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5334, kappa: 0.0693, kb_relative_information_score: 35.8158, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.535, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1869.1029, usercpu_time_millis: 121.7, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 120.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5409, kappa: 0.0825, kb_relative_information_score: 48.3516, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5414, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9935, scimark_benchmark: 790.2522, usercpu_time_millis: 111.789, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 110.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5267, kappa: 0.0578, kb_relative_information_score: 18.3346, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5294, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1836.0127, usercpu_time_millis: 155.064, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 154.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.5361, kappa: 0.0726, kb_relative_information_score: 39.7457, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5364, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9981, scimark_benchmark: 1843.5072, usercpu_time_millis: 15.074, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 14.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5263, kappa: 0.0578, kb_relative_information_score: 15.8124, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5295, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1871.5019, usercpu_time_millis: 47.978, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 47.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5211, kappa: 0.0429, kb_relative_information_score: 29.9576, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 790.5689, usercpu_time_millis: 31.432, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 30.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.5601, kappa: 0.1205, kb_relative_information_score: 55.5719, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5603, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1870.4728, usercpu_time_millis: 63.363, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 63.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5363, kappa: 0.0726, kb_relative_information_score: 35.2242, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5363, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1849.9203, usercpu_time_millis: 44.773, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 43.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 94.3729, mean_absolute_error: 0.4664, 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: 0.9328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0098, scimark_benchmark: 1865.4209, usercpu_time_millis: 57.699, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 57.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5292, kappa: 0.0627, kb_relative_information_score: 12.2466, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5319, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1918.0961, usercpu_time_millis: 56.205, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 55.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5674, kappa: 0.1353, kb_relative_information_score: 72.9635, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5678, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9921, scimark_benchmark: 1837.5298, usercpu_time_millis: 79.415, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 78.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5656, kappa: 0.132, kb_relative_information_score: 53.7386, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5663, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849, scimark_benchmark: 1919.454, usercpu_time_millis: 59.008, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 58.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.5685, kappa: 0.137, kb_relative_information_score: 118.7004, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.0427, scimark_benchmark: 1862.1704, usercpu_time_millis: 63.977, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 63.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.551, kappa: 0.1023, kb_relative_information_score: 45.6771, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5512, predictive_accuracy: 0.5512, prior_entropy: 1, recall: 0.5512, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 790.4942, usercpu_time_millis: 50.752, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 49.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5493, kappa: 0.099, kb_relative_information_score: 48.4872, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5496, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9935, scimark_benchmark: 1872.0299, usercpu_time_millis: 82.998, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 82.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.5368, kappa: 0.0759, kb_relative_information_score: 26.3121, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5383, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1873.4078, usercpu_time_millis: 51.137, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 50.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5234, kappa: 0.0512, kb_relative_information_score: 19.9734, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.526, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1876.7581, usercpu_time_millis: 84.454, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 83.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 71.2047, mean_absolute_error: 0.4758, 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: 0.9516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9921, scimark_benchmark: 1873.9387, usercpu_time_millis: 92.118, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 91.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.5872, kappa: 0.1749, kb_relative_information_score: 108.6713, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5877, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9866, scimark_benchmark: 1865.8853, usercpu_time_millis: 103.298, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 102.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.5295, kappa: 0.0644, kb_relative_information_score: 19.4735, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5329, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1837.5041, usercpu_time_millis: 89.83, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 89.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.5543, kappa: 0.1089, kb_relative_information_score: 105.6685, mean_absolute_error: 0.4586, 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: 0.9172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.107, scimark_benchmark: 1867.4545, usercpu_time_millis: 103.646, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 103.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.5282, kappa: 0.0594, kb_relative_information_score: 29.089, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5301, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1865.8853, usercpu_time_millis: 89.03, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 88.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5427, kappa: 0.0924, kb_relative_information_score: 31.8418, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5477, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9913, scimark_benchmark: 1848.1032, usercpu_time_millis: 71.781, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 71.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.5535, kappa: 0.1073, kb_relative_information_score: 55.2335, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5537, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9893, scimark_benchmark: 1864.3281, usercpu_time_millis: 96.032, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 95.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.5667, kappa: 0.1337, kb_relative_information_score: 69.4155, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5669, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 1862.8928, usercpu_time_millis: 114.448, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 113.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5462, kappa: 0.0941, kb_relative_information_score: 35.4113, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5474, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1872.9496, usercpu_time_millis: 96.424, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 95.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5406, kappa: 0.0825, kb_relative_information_score: 20.7355, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5415, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1814.5036, usercpu_time_millis: 137.281, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 136.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.541, kappa: 0.0842, kb_relative_information_score: 38.4215, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5425, predictive_accuracy: 0.5421, prior_entropy: 1, recall: 0.5421, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9903, scimark_benchmark: 1874.977, usercpu_time_millis: 140.507, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 139.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 68.7423, mean_absolute_error: 0.4767, 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: 0.9535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 789.421, usercpu_time_millis: 118.544, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 118.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.5322, kappa: 0.0677, kb_relative_information_score: 27.9135, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5343, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1872.0299, usercpu_time_millis: 149.949, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 149.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 71.9977, mean_absolute_error: 0.4754, 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: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1784.1819, usercpu_time_millis: 169.128, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 168.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 84.6034, mean_absolute_error: 0.4711, 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: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9838, scimark_benchmark: 1872.4216, usercpu_time_millis: 141.225, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 140.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 74.3339, mean_absolute_error: 0.4747, 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: 0.9495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9854, scimark_benchmark: 1865.9581, usercpu_time_millis: 119.345, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 118.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 84.0348, mean_absolute_error: 0.4716, 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: 0.9432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9762, scimark_benchmark: 1844.0515, usercpu_time_millis: 92.055, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 91.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.5292, kappa: 0.0627, kb_relative_information_score: 13.7497, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5319, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1872.4881, usercpu_time_millis: 38.637, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 38.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.5476, kappa: 0.0957, kb_relative_information_score: 48.9545, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.548, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1869.6309, usercpu_time_millis: 46.272, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 45.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.5938, kappa: 0.1881, kb_relative_information_score: 103.3091, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5943, predictive_accuracy: 0.5941, prior_entropy: 1, recall: 0.5941, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9838, scimark_benchmark: 1869.7667, usercpu_time_millis: 40.29, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 40.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.5275, kappa: 0.0594, kb_relative_information_score: 22.1712, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5303, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1829.5358, usercpu_time_millis: 21.612, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 21.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5344, kappa: 0.071, kb_relative_information_score: 29.4005, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5358, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9967, scimark_benchmark: 1866.5286, usercpu_time_millis: 59.585, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 58.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.571, kappa: 0.1419, kb_relative_information_score: 69.3152, mean_absolute_error: 0.4765, 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: 0.9531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9845, scimark_benchmark: 1873.4078, usercpu_time_millis: 45.482, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 45.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.5513, kappa: 0.104, kb_relative_information_score: 36.3377, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5523, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1874.977, usercpu_time_millis: 54.169, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 53.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5418, kappa: 0.0858, kb_relative_information_score: 35.3119, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5433, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1845.2111, usercpu_time_millis: 108.415, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 107.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 126.1238, mean_absolute_error: 0.4534, 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: 0.9068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0215, scimark_benchmark: 1814.9617, usercpu_time_millis: 72.852, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 72.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5261, kappa: 0.0561, kb_relative_information_score: 18.4168, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5285, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1863.2116, usercpu_time_millis: 81.725, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 81.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.5873, kappa: 0.1749, kb_relative_information_score: 109.2982, mean_absolute_error: 0.4615, 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: 0.923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 1869.2942, usercpu_time_millis: 111.516, usercpu_time_millis_testing: 1.647, usercpu_time_millis_training: 109.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.578, kappa: 0.1568, kb_relative_information_score: 94.4749, mean_absolute_error: 0.4672, 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: 0.9344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9915, scimark_benchmark: 1805.8476, usercpu_time_millis: 89.651, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 88.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 90.6906, mean_absolute_error: 0.4684, 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: 0.9369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1842.9075, usercpu_time_millis: 62.501, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 62.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 108.5965, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0142, scimark_benchmark: 1866.4683, usercpu_time_millis: 106.839, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 106.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.5467, kappa: 0.0941, kb_relative_information_score: 49.1369, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5472, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1843.1261, usercpu_time_millis: 104.584, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 103.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.5688, kappa: 0.1452, kb_relative_information_score: 58.4328, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5753, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9805, scimark_benchmark: 1835.1671, usercpu_time_millis: 67.267, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 66.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5341, kappa: 0.0726, kb_relative_information_score: 23.4, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.537, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1874.5188, usercpu_time_millis: 83.933, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 83.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.5399, kappa: 0.0842, kb_relative_information_score: 31.3016, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5429, predictive_accuracy: 0.5421, prior_entropy: 1, recall: 0.5421, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9923, scimark_benchmark: 1874.977, usercpu_time_millis: 116.413, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 115.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.5432, kappa: 0.0875, kb_relative_information_score: 43.7538, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.544, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9911, scimark_benchmark: 1874.977, usercpu_time_millis: 128.893, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 128.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 55.4788, mean_absolute_error: 0.4811, 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: 0.9623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9953, scimark_benchmark: 1847.6467, usercpu_time_millis: 122.613, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 121.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.5797, kappa: 0.1601, kb_relative_information_score: 98.3628, mean_absolute_error: 0.466, 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: 0.932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9861, scimark_benchmark: 1874.977, usercpu_time_millis: 113.637, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 113.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 64.1168, mean_absolute_error: 0.4785, 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: 0.9569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1874.0573, usercpu_time_millis: 115.276, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 114.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.5401, kappa: 0.0825, kb_relative_information_score: 14.7914, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5417, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9981, scimark_benchmark: 2047.4058, usercpu_time_millis: 107.362, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 106.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.5962, kappa: 0.1931, kb_relative_information_score: 78.2521, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5968, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9752, scimark_benchmark: 1873.5368, usercpu_time_millis: 127.523, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 126.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.5327, kappa: 0.0693, kb_relative_information_score: 27.2695, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5352, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1873.5991, usercpu_time_millis: 144.765, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 143.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 83.203, mean_absolute_error: 0.4713, 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: 0.9426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1811.8207, usercpu_time_millis: 140.784, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 140.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.5665, kappa: 0.1337, kb_relative_information_score: 65.0071, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.567, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1867.2735, usercpu_time_millis: 139.782, usercpu_time_millis_testing: 1.385, usercpu_time_millis_training: 138.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5271, kappa: 0.0578, kb_relative_information_score: 18.9782, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5293, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1855.3627, usercpu_time_millis: 149.692, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 149.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 83.557, mean_absolute_error: 0.4716, 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: 0.9432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9801, scimark_benchmark: 1868.7112, usercpu_time_millis: 126.418, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 125.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.5822, kappa: 0.165, kb_relative_information_score: 91.3545, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5828, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 1782.1457, usercpu_time_millis: 169.893, usercpu_time_millis_testing: 1.829, usercpu_time_millis_training: 168.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 70.871, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5735, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9826, scimark_benchmark: 1833.0594, usercpu_time_millis: 182.343, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 181.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 59.8709, mean_absolute_error: 0.4798, 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: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1870.1619, usercpu_time_millis: 176.518, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 175.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 72.6971, mean_absolute_error: 0.4752, 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: 0.9504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1863.0597, usercpu_time_millis: 188.238, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 187.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.5691, kappa: 0.1386, kb_relative_information_score: 114.9226, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5694, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.0445, scimark_benchmark: 1803.635, usercpu_time_millis: 157.963, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 157.537,

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