OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.5063, kappa: 0.0132, kb_relative_information_score: 4.6596, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5066, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, scimark_benchmark: 1778.9769, usercpu_time_millis: 16.538, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 16.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5429, kappa: 0.0858, kb_relative_information_score: 49.3357, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5429, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1869.1727, usercpu_time_millis: 136.606, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 135.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 52.3267, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5488, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1873.8757, usercpu_time_millis: 114.975, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 114.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.5142, kappa: 0.0297, kb_relative_information_score: 3.2988, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5149, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0015, scimark_benchmark: 1764.6704, usercpu_time_millis: 1.502, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4792, kb_relative_information_score: 0.0037, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1866.0068, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.5469, kappa: 0.0941, kb_relative_information_score: 49.0939, 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: 0.9673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1801.016, usercpu_time_millis: 122.515, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 122.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 80.6707, mean_absolute_error: 0.4723, 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: 0.9446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1872.9496, usercpu_time_millis: 61.544, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 60.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5724, kappa: 0.1452, kb_relative_information_score: 70.0971, mean_absolute_error: 0.4763, 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: 0.9525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9895, scimark_benchmark: 1853.8874, usercpu_time_millis: 139.196, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 138.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 71.0934, mean_absolute_error: 0.4756, 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: 0.9511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0019, scimark_benchmark: 1873.4078, usercpu_time_millis: 8.102, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 7.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 64.7341, mean_absolute_error: 0.4779, 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: 0.9559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1771.1944, usercpu_time_millis: 164.511, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 163.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.5881, kappa: 0.1766, kb_relative_information_score: 95.3417, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5885, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9908, scimark_benchmark: 1766.9145, usercpu_time_millis: 104.571, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 103.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, f_measure: 0.5361, kappa: 0.0759, kb_relative_information_score: 24.9759, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5386, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1766.43, usercpu_time_millis: 74.23, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 74.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.5642, kappa: 0.1287, kb_relative_information_score: 62.9663, mean_absolute_error: 0.4785, 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: 0.957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1771.2711, usercpu_time_millis: 43.54, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 43.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 126.7907, mean_absolute_error: 0.4527, 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: 0.9055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0224, scimark_benchmark: 1808.1842, usercpu_time_millis: 451.117, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 449.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 104.959, mean_absolute_error: 0.4617, 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: 0.9234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0207, scimark_benchmark: 1778.3387, usercpu_time_millis: 446.194, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 445.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.5373, kappa: 0.0759, kb_relative_information_score: 40.4142, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5382, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1791.2141, usercpu_time_millis: 262.73, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 261.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, f_measure: 0.5814, kappa: 0.1634, kb_relative_information_score: 96.0562, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5819, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1761.4411, usercpu_time_millis: 222.798, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 222.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.5855, kappa: 0.1716, kb_relative_information_score: 86.7502, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9877, scimark_benchmark: 1794.3693, usercpu_time_millis: 166.237, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 165.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.5912, kappa: 0.1832, kb_relative_information_score: 105.0042, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5919, predictive_accuracy: 0.5916, prior_entropy: 1, recall: 0.5916, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0025, scimark_benchmark: 1791.5926, usercpu_time_millis: 161.71, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 161.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.5724, kappa: 0.1452, kb_relative_information_score: 87.4575, mean_absolute_error: 0.4697, 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: 0.9394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9919, scimark_benchmark: 1769.1317, usercpu_time_millis: 153.37, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 152.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 60.0864, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1732.6286, usercpu_time_millis: 130.364, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 129.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 73.473, mean_absolute_error: 0.4751, 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: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9935, scimark_benchmark: 1779.0062, usercpu_time_millis: 113.863, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 113.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.5429, kappa: 0.0858, kb_relative_information_score: 51.6301, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5429, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1782.9227, usercpu_time_millis: 111.132, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 110.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 62.384, mean_absolute_error: 0.4789, 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: 0.9579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1775.5949, usercpu_time_millis: 75.209, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 74.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.5392, kappa: 0.0792, kb_relative_information_score: 48.8211, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5397, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1781.7525, usercpu_time_millis: 68.431, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 67.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5313, kappa: 0.0627, kb_relative_information_score: 39.172, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5314, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1729.5697, usercpu_time_millis: 64.492, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 64.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5257, kappa: 0.0528, kb_relative_information_score: 5.6707, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5266, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1788.2429, usercpu_time_millis: 48.309, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 47.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.5305, kappa: 0.0611, kb_relative_information_score: 45.1291, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5305, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1750.9146, usercpu_time_millis: 49.437, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 49.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.5863, kappa: 0.1733, kb_relative_information_score: 93.3876, mean_absolute_error: 0.4677, 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: 0.9353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1781.6273, usercpu_time_millis: 35.026, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 34.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 86.4718, mean_absolute_error: 0.4701, 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: 0.9403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1755.4795, usercpu_time_millis: 33.885, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 33.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.5288, kappa: 0.0578, kb_relative_information_score: 32.4521, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5289, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1763.1613, usercpu_time_millis: 31.087, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 30.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.5127, kappa: 0.0297, kb_relative_information_score: 10.0492, mean_absolute_error: 0.4968, 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: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1768.5545, usercpu_time_millis: 24.939, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 24.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 53.4623, mean_absolute_error: 0.4821, 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: 0.9641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1758.7596, usercpu_time_millis: 18.73, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 17.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.5142, kappa: 0.0297, kb_relative_information_score: 25.4987, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5149, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1780.3704, usercpu_time_millis: 13.117, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 12.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.5338, kappa: 0.0677, kb_relative_information_score: 36.5779, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5338, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1773.6971, usercpu_time_millis: 15.055, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 14.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5395, kappa: 0.0809, kb_relative_information_score: 17.3922, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5408, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9969, scimark_benchmark: 1784.905, usercpu_time_millis: 8.464, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 8.392,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 76.5348, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5734, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1287.7801, usercpu_time_millis: 56.485, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 55.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4765, kappa: -0.005, kb_relative_information_score: -0.0096, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4971, 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: 1264.0157, usercpu_time_millis: 0.781, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5402, kappa: 0.0809, kb_relative_information_score: 54.8682, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5405, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1196.8402, usercpu_time_millis: 2.981, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 2.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 61.7371, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021, scimark_benchmark: 1263.6484, usercpu_time_millis: 9.621, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 9.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 71.1644, mean_absolute_error: 0.4759, 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: 0.9518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1292.2296, usercpu_time_millis: 112.801, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 112.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0139, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1167.3489, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.5841, kappa: 0.1683, kb_relative_information_score: 91.2301, mean_absolute_error: 0.4681, 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: 0.9362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9981, scimark_benchmark: 1276.428, usercpu_time_millis: 26.948, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 26.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.017, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, 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: 1234.6762, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.5536, kappa: 0.1073, kb_relative_information_score: 53.9165, mean_absolute_error: 0.4818, 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: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1265.084, usercpu_time_millis: 165.765, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 165.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.5962, kappa: 0.1931, kb_relative_information_score: 111.2529, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5969, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1273.6067, usercpu_time_millis: 319.426, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 318.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0185, 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: 1292.4269, usercpu_time_millis: 1.572, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 72.9005, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5734, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9969, scimark_benchmark: 1272.7776, usercpu_time_millis: 29.373, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 29.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5677, kappa: 0.1353, kb_relative_information_score: 61.4242, mean_absolute_error: 0.4792, 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: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1265.1174, usercpu_time_millis: 52.962, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 52.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.5354, kappa: 0.071, kb_relative_information_score: 33.7705, mean_absolute_error: 0.4886, 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: 0.9773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1235.2215, usercpu_time_millis: 7.021, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 6.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.5211, kappa: 0.0446, kb_relative_information_score: 10.0729, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5225, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1250.359, usercpu_time_millis: 47.038, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 46.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 78.0368, mean_absolute_error: 0.4735, 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: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1280.585, usercpu_time_millis: 139.863, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 138.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.5313, kappa: 0.066, kb_relative_information_score: 31.2666, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5335, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1278.4992, usercpu_time_millis: 29.628, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 29.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0149, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1299.7843, usercpu_time_millis: 2.565, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 2.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.5677, kappa: 0.1353, kb_relative_information_score: 47.3256, mean_absolute_error: 0.4843, 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: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026, scimark_benchmark: 1299.7974, usercpu_time_millis: 4.195, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 3.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.5617, kappa: 0.1254, kb_relative_information_score: 38.6921, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5633, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1251.1992, usercpu_time_millis: 198.083, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 197.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.534, kappa: 0.0693, kb_relative_information_score: 36.0538, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5349, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1288.7355, usercpu_time_millis: 37.585, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 37.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4486, kappa: -0.0033, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1239.7409, usercpu_time_millis: 0.872, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 76.4732, mean_absolute_error: 0.4736, 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: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9987, scimark_benchmark: 1238.8674, usercpu_time_millis: 43.532, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 43.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5017, kappa: 0.0033, kb_relative_information_score: 0.0087, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5017, predictive_accuracy: 0.5017, prior_entropy: 1, recall: 0.5017, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1275.7904, usercpu_time_millis: 3.878, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 3.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.5146, kappa: 0.033, kb_relative_information_score: 6.7637, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5168, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1261.5469, usercpu_time_millis: 3.885, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 3.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.5215, kappa: 0.0479, kb_relative_information_score: 14.7875, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5244, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1166.5155, usercpu_time_millis: 90.11, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 89.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 75.4021, mean_absolute_error: 0.4742, 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: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1203.3012, usercpu_time_millis: 164.482, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 162.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.5163, kappa: 0.0347, kb_relative_information_score: 5.6238, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5175, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1274.7015, usercpu_time_millis: 28.815, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 28.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 87.2423, mean_absolute_error: 0.4695, 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: 0.939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0041, scimark_benchmark: 1270.5064, usercpu_time_millis: 299.328, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 298.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 72.7692, mean_absolute_error: 0.4751, 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: 0.9502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9945, scimark_benchmark: 1262.7911, usercpu_time_millis: 129.762, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 128.788,

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