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Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 145847 Supervised Classification hill-valley 92422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.5864, kappa: 0.1733, kb_relative_information_score: 98.6104, mean_absolute_error: 0.4656, 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: 0.9312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9921, scimark_benchmark: 1370.9466, usercpu_time_millis: 83.092, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 82.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5874, kappa: 0.1749, kb_relative_information_score: 87.6413, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5875, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1370.1099, usercpu_time_millis: 50.422, usercpu_time_millis_testing: 1.583, usercpu_time_millis_training: 48.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 82.1931, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5744, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, scimark_benchmark: 1373.5084, usercpu_time_millis: 522.842, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 521.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5776, kappa: 0.1551, kb_relative_information_score: 73.7915, mean_absolute_error: 0.4749, 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: 0.9498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1369.87, usercpu_time_millis: 25.794, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 24.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.5923, kappa: 0.1848, kb_relative_information_score: 121.0338, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5925, predictive_accuracy: 0.5924, prior_entropy: 1, recall: 0.5924, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1370.8951, usercpu_time_millis: 214.573, usercpu_time_millis_testing: 2.083, usercpu_time_millis_training: 212.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.5469, kappa: 0.0941, kb_relative_information_score: 48.3405, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5471, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1366.5582, usercpu_time_millis: 70.361, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 69.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.5226, kappa: 0.0479, kb_relative_information_score: 10.1046, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5242, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1377.9374, usercpu_time_millis: 31.604, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 31.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.5618, kappa: 0.1238, kb_relative_information_score: 84.5312, mean_absolute_error: 0.4691, 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: 0.9381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0393, scimark_benchmark: 1371.637, usercpu_time_millis: 2.614, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 91.7991, mean_absolute_error: 0.4682, 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: 0.9364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, scimark_benchmark: 1379.8169, usercpu_time_millis: 269.738, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 268.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.5528, kappa: 0.1056, kb_relative_information_score: 46.495, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5528, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1378.3561, usercpu_time_millis: 19.013, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 18.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, f_measure: 0.5126, kappa: 0.0297, kb_relative_information_score: 21.5509, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5151, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1374.4443, usercpu_time_millis: 30.579, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 30.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4498, kappa: -0.0017, kb_relative_information_score: -0.0055, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4987, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1373.1845, usercpu_time_millis: 1.225, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.5354, kappa: 0.0726, kb_relative_information_score: 36.0701, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5366, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1371.6766, usercpu_time_millis: 78.632, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 78.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5184, kappa: 0.0413, kb_relative_information_score: 10.6014, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.521, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1369.6415, usercpu_time_millis: 55.044, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 54.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.5433, kappa: 0.0875, kb_relative_information_score: 48.049, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5439, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9953, scimark_benchmark: 1379.8423, usercpu_time_millis: 29.842, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 29.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5268, kappa: 0.0561, kb_relative_information_score: 20.039, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5284, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1378.1337, usercpu_time_millis: 122.391, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 121.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 84.3366, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.58, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1376.4985, usercpu_time_millis: 7.728, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 7.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 99.0848, mean_absolute_error: 0.4655, 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: 0.9311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9891, scimark_benchmark: 1380.1611, usercpu_time_millis: 148.199, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 147.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.5318, kappa: 0.066, kb_relative_information_score: 31.2172, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5334, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1370.3731, usercpu_time_millis: 66.408, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 66.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.5601, kappa: 0.1205, kb_relative_information_score: 59.1406, mean_absolute_error: 0.48, 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: 0.9601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1373.9433, usercpu_time_millis: 207.477, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 206.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.5781, kappa: 0.1568, kb_relative_information_score: 85.7054, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5786, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1371.6934, usercpu_time_millis: 103.852, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 103.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.4926, kappa: -0.0083, kb_relative_information_score: 5.7358, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4958, predictive_accuracy: 0.4959, prior_entropy: 1, recall: 0.4959, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0025, scimark_benchmark: 1374.3445, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.5708, kappa: 0.1419, kb_relative_information_score: 90.9398, mean_absolute_error: 0.4684, 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: 0.9368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1376.7538, usercpu_time_millis: 135.485, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 135.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5343, kappa: 0.0693, kb_relative_information_score: 34.3639, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5348, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1376.1574, usercpu_time_millis: 98.856, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 98.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.5251, kappa: 0.0512, kb_relative_information_score: 40.8118, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5257, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1378.1438, usercpu_time_millis: 63.634, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 62.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5325, kappa: 0.066, kb_relative_information_score: 39.1216, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5331, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1376.0355, usercpu_time_millis: 115.175, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 114.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.5717, kappa: 0.1436, kb_relative_information_score: 78.6652, mean_absolute_error: 0.473, 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: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1374.2686, usercpu_time_millis: 98.729, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 98.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.5203, kappa: 0.0413, kb_relative_information_score: 29.822, mean_absolute_error: 0.4899, 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: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 1375.8516, usercpu_time_millis: 50.13, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 49.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 56.6113, 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: 0.9617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1375.6191, usercpu_time_millis: 59.637, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 59.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 64.6509, mean_absolute_error: 0.4781, 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: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1373.6162, usercpu_time_millis: 30.351, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 30.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 70.3622, mean_absolute_error: 0.4759, 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: 0.9518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1374.0147, usercpu_time_millis: 24.809, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 24.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.5486, kappa: 0.0974, kb_relative_information_score: 44.777, mean_absolute_error: 0.4851, 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: 0.9702, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 1374.7508, usercpu_time_millis: 4.559, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 4.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0044, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1375.6243, usercpu_time_millis: 2.125, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 1.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 89.9004, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5834, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1775.1066, usercpu_time_millis: 277.055, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 275.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.5922, kappa: 0.1848, kb_relative_information_score: 101.0667, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5926, predictive_accuracy: 0.5924, prior_entropy: 1, recall: 0.5924, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9895, scimark_benchmark: 1777.1604, usercpu_time_millis: 223.256, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 221.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.5601, kappa: 0.1205, kb_relative_information_score: 60.6119, mean_absolute_error: 0.4794, 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: 0.9588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1769.8429, usercpu_time_millis: 14.552, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 14.396,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.5626, kappa: 0.1254, kb_relative_information_score: 49.0834, mean_absolute_error: 0.4837, 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: 0.9674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1733.5704, usercpu_time_millis: 68.83, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 67.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.504, kappa: 0.0165, kb_relative_information_score: 14.5669, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5085, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1734.0392, usercpu_time_millis: 24.143, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 23.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, f_measure: 0.6056, kappa: 0.2112, kb_relative_information_score: 121.4899, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6056, predictive_accuracy: 0.6056, prior_entropy: 1, recall: 0.6056, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9895, scimark_benchmark: 1867.4852, usercpu_time_millis: 18.481, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 18.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, f_measure: 0.5126, kappa: 0.0264, kb_relative_information_score: 3.3432, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5133, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1824.3682, usercpu_time_millis: 2.93, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 2.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4799, kappa: 0.0017, kb_relative_information_score: -0.0073, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.501, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 780.7791, usercpu_time_millis: 2.005, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.523, kappa: 0.0479, kb_relative_information_score: 5.1265, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5241, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0003, scimark_benchmark: 1813.1758, usercpu_time_millis: 6.086, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 5.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 82.0848, mean_absolute_error: 0.4713, 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: 0.9427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0021, scimark_benchmark: 1834.6329, usercpu_time_millis: 4.257, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 4.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5393, f_measure: 0.5222, kappa: 0.0446, kb_relative_information_score: 23.9924, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5223, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, scimark_benchmark: 1565.5434, usercpu_time_millis: 6.611, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 6.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 65.3323, mean_absolute_error: 0.4779, 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: 0.9558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1803.9472, usercpu_time_millis: 63.95, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 63.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5773, kappa: 0.1551, kb_relative_information_score: 107.5576, mean_absolute_error: 0.461, 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: 0.922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0095, scimark_benchmark: 1812.7656, usercpu_time_millis: 21.813, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 21.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0104, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1832.3708, usercpu_time_millis: 1.323, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.527, f_measure: 0.5115, kappa: 0.0297, kb_relative_information_score: 11.8889, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5153, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9983, scimark_benchmark: 1829.6867, usercpu_time_millis: 24.961, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 24.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 65.0449, mean_absolute_error: 0.4781, 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: 0.9562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1777.1745, usercpu_time_millis: 20.804, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 20.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.5461, kappa: 0.0924, kb_relative_information_score: 49.7935, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5462, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 776.1679, usercpu_time_millis: 413.475, usercpu_time_millis_testing: 1.435, usercpu_time_millis_training: 412.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.5954, kappa: 0.1914, kb_relative_information_score: 102.6244, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.596, predictive_accuracy: 0.5957, prior_entropy: 1, recall: 0.5957, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1444.0946, usercpu_time_millis: 331.914, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 330.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 47.4382, mean_absolute_error: 0.4842, 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: 0.9683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 780.0074, usercpu_time_millis: 55.627, usercpu_time_millis_testing: 1.911, usercpu_time_millis_training: 53.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.5007, kappa: 0.005, kb_relative_information_score: 20.502, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5025, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 779.6568, usercpu_time_millis: 18.96, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 18.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, f_measure: 0.5261, kappa: 0.0545, kb_relative_information_score: 12.3558, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5275, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1754.8387, usercpu_time_millis: 29.279, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 28.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5022, kappa: 0.0116, kb_relative_information_score: 14.2869, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5059, predictive_accuracy: 0.5058, prior_entropy: 1, recall: 0.5058, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1784.8267, usercpu_time_millis: 7.603, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 7.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5183, kappa: 0.038, kb_relative_information_score: 29.3296, mean_absolute_error: 0.4901, 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: 0.9801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1768.6696, usercpu_time_millis: 18.62, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 17.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4782, kappa: -0.0017, kb_relative_information_score: -0.0231, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.499, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1764.9026, usercpu_time_millis: 0.523, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 71.3624, mean_absolute_error: 0.4756, 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: 0.9512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1805.4877, usercpu_time_millis: 98.161, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 97.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.5344, kappa: 0.0693, kb_relative_information_score: 44.3197, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5347, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1812.9218, usercpu_time_millis: 94.969, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 94.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, f_measure: 0.5195, kappa: 0.0429, kb_relative_information_score: 16.1634, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5218, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9973, scimark_benchmark: 1856.682, usercpu_time_millis: 41.907, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 41.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.5198, kappa: 0.0396, kb_relative_information_score: 25.8003, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5198, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0097, scimark_benchmark: 1833.0483, usercpu_time_millis: 13.465, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 12.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 71.4009, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5767, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1805.5289, usercpu_time_millis: 64.055, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 63.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.5064, kappa: 0.0182, kb_relative_information_score: 17.9859, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5093, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005, scimark_benchmark: 1857.5574, usercpu_time_millis: 21.475, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 20.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.5385, kappa: 0.0776, kb_relative_information_score: 37.6309, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 1802.2768, usercpu_time_millis: 25.153, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 24.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5188, f_measure: 0.5036, kappa: 0.0149, kb_relative_information_score: 13.1306, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5077, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0003, scimark_benchmark: 1816.5758, usercpu_time_millis: 10.258, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 9.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.5188, kappa: 0.038, kb_relative_information_score: 29.2025, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.519, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1855.0058, usercpu_time_millis: 15.577, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 14.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5436, kappa: 0.0875, kb_relative_information_score: 44.4577, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5438, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1855.1045, usercpu_time_millis: 5.533, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 5.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 48.7408, mean_absolute_error: 0.4834, 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: 0.9668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026, scimark_benchmark: 1796.1554, usercpu_time_millis: 3.65, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 3.431,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs