Task
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: 0.6137, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 85.2175, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9877, scimark_benchmark: 1751.9236, usercpu_time_millis: 56.956, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 55.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.5773, kappa: 0.1551, kb_relative_information_score: 88.8307, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5778, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1753.6457, usercpu_time_millis: 56.034, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 55.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 76.5425, mean_absolute_error: 0.4738, 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: 0.9477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1259.2081, usercpu_time_millis: 116.52, usercpu_time_millis_testing: 3.439, usercpu_time_millis_training: 113.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.5334, kappa: 0.071, kb_relative_information_score: 26.479, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5361, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1722.761, usercpu_time_millis: 172.461, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 171.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.5759, kappa: 0.1518, kb_relative_information_score: 71.5143, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5759, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1846.4401, usercpu_time_millis: 180.016, usercpu_time_millis_testing: 2.324, usercpu_time_millis_training: 177.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4792, kb_relative_information_score: -0.0068, 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: 1757.1582, usercpu_time_millis: 1.37, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.5261, kappa: 0.0561, kb_relative_information_score: 10.7342, mean_absolute_error: 0.4967, 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: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9987, scimark_benchmark: 1757.7298, usercpu_time_millis: 18.569, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 17.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, f_measure: 0.5403, kappa: 0.0809, kb_relative_information_score: 42.7869, mean_absolute_error: 0.4857, 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: 0.9714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1761.9131, usercpu_time_millis: 26.855, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 26.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5392, kappa: 0.0792, kb_relative_information_score: 44.7092, mean_absolute_error: 0.4852, 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: 0.9704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9921, scimark_benchmark: 1854.3612, usercpu_time_millis: 39.311, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 39.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5445, kappa: 0.0908, kb_relative_information_score: 34.1021, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5457, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 2156.1231, usercpu_time_millis: 42.231, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 41.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.5262, kappa: 0.0578, kb_relative_information_score: 22.4057, mean_absolute_error: 0.4928, 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: 0.9856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1863.066, usercpu_time_millis: 62.379, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 61.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.5351, kappa: 0.071, kb_relative_information_score: 44.2696, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5356, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1726.3751, usercpu_time_millis: 60.518, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 60.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.5196, kappa: 0.0446, kb_relative_information_score: 14.2705, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5228, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9971, scimark_benchmark: 1861.4992, usercpu_time_millis: 67.215, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 66.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 73.5929, mean_absolute_error: 0.475, 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: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9879, scimark_benchmark: 1232.2417, usercpu_time_millis: 69.4, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 68.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.565, kappa: 0.1304, kb_relative_information_score: 56.4171, mean_absolute_error: 0.481, 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: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9871, scimark_benchmark: 1856.2273, usercpu_time_millis: 105.462, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 104.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.5414, kappa: 0.0842, kb_relative_information_score: 40.79, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5423, predictive_accuracy: 0.5421, prior_entropy: 1, recall: 0.5421, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1763.5568, usercpu_time_millis: 56.894, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 56.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.5971, kappa: 0.1947, kb_relative_information_score: 118.3891, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5976, predictive_accuracy: 0.5974, prior_entropy: 1, recall: 0.5974, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1830.0282, usercpu_time_millis: 263.076, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 261.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4792, kb_relative_information_score: -0.0072, 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: 1745.5953, usercpu_time_millis: 1.091, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 59.619, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5602, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1759.2597, usercpu_time_millis: 10.382, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 9.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.534, kappa: 0.071, kb_relative_information_score: 25.4141, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5359, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1756.4112, usercpu_time_millis: 32.547, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 32.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5237, kappa: 0.0495, kb_relative_information_score: 19.4241, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.525, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9973, scimark_benchmark: 1102.9902, usercpu_time_millis: 50.962, usercpu_time_millis_testing: 1.695, usercpu_time_millis_training: 49.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.5264, kappa: 0.0545, kb_relative_information_score: 6.3105, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5274, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9997, scimark_benchmark: 1756.9711, usercpu_time_millis: 64.551, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 64.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.5884, kappa: 0.1782, kb_relative_information_score: 65.4313, mean_absolute_error: 0.4782, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5897, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9783, scimark_benchmark: 1757.7927, usercpu_time_millis: 84.292, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 83.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4782, kappa: -0.0017, kb_relative_information_score: -0.041, 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: 1728.6311, usercpu_time_millis: 0.63, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.5057, kappa: 0.0149, kb_relative_information_score: 4.6408, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5075, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0015, scimark_benchmark: 1860.8554, usercpu_time_millis: 2.028, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 60.5837, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5635, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 2145.8705, usercpu_time_millis: 14.414, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 14.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5155, kappa: 0.033, kb_relative_information_score: 6.5392, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5166, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1253.6797, usercpu_time_millis: 3.234, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, f_measure: 0.5213, kappa: 0.0429, kb_relative_information_score: 5.6912, mean_absolute_error: 0.4983, 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: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1849.6404, usercpu_time_millis: 31.155, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 30.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 54.6377, mean_absolute_error: 0.4815, 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: 0.963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1850.2154, usercpu_time_millis: 105.879, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 104.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.5117, kappa: 0.0248, kb_relative_information_score: 3.0296, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5124, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0013, scimark_benchmark: 1852.5429, usercpu_time_millis: 50.382, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 49.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.5188, kappa: 0.0396, kb_relative_information_score: 23.6034, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.52, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 1750.3253, usercpu_time_millis: 60.307, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 59.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.5799, kappa: 0.1601, kb_relative_information_score: 115.4512, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0081, scimark_benchmark: 1856.7467, usercpu_time_millis: 75.108, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 74.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5233, kappa: 0.0495, kb_relative_information_score: 11.9172, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5251, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1868.6447, usercpu_time_millis: 13.288, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 13.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.5773, kappa: 0.1551, kb_relative_information_score: 78.2341, mean_absolute_error: 0.4733, 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: 0.9465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9905, scimark_benchmark: 1755.9441, usercpu_time_millis: 11.888, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 11.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.5151, kappa: 0.0347, kb_relative_information_score: 19.6089, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5177, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1867.725, usercpu_time_millis: 17.947, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 17.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5409, kappa: 0.0858, kb_relative_information_score: 31.957, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5437, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9925, scimark_benchmark: 1752.1591, usercpu_time_millis: 99.261, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 98.58,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.546, kappa: 0.0941, kb_relative_information_score: 34.5255, mean_absolute_error: 0.4889, 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: 0.9778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1867.6581, usercpu_time_millis: 36.515, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 36.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.5872, kappa: 0.1749, kb_relative_information_score: 82.9919, mean_absolute_error: 0.4717, 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: 0.9433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1745.3654, usercpu_time_millis: 34.239, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 33.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 68.6532, mean_absolute_error: 0.4767, 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: 0.9533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1871.9601, usercpu_time_millis: 64.118, usercpu_time_millis_testing: 1.628, usercpu_time_millis_training: 62.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5401, kappa: 0.0825, kb_relative_information_score: 34.5376, mean_absolute_error: 0.4886, 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: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1785.305, usercpu_time_millis: 76.543, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 75.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.5074, kappa: 0.0165, kb_relative_information_score: 18.1307, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5083, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0037, scimark_benchmark: 1831.752, usercpu_time_millis: 3.252, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 74.9439, mean_absolute_error: 0.4742, 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: 0.9484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1836.0792, usercpu_time_millis: 5.01, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 4.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.5245, kappa: 0.0528, kb_relative_information_score: 12.953, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5268, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1830.0638, usercpu_time_millis: 61.459, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 60.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.5899, kappa: 0.1799, kb_relative_information_score: 89.8902, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.59, predictive_accuracy: 0.5899, prior_entropy: 1, recall: 0.5899, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9768, scimark_benchmark: 1829.1442, usercpu_time_millis: 73.189, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 72.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6006, kappa: 0.2013, kb_relative_information_score: 97.981, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6007, predictive_accuracy: 0.6007, prior_entropy: 1, recall: 0.6007, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9758, scimark_benchmark: 1831.1749, usercpu_time_millis: 82.272, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 81.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5344, kappa: 0.0726, kb_relative_information_score: 21.9306, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5369, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1870.6721, usercpu_time_millis: 85.407, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 85.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 57.1982, mean_absolute_error: 0.4808, 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: 0.9617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9896, scimark_benchmark: 1832.6054, usercpu_time_millis: 174.623, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 174.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.565, kappa: 0.1304, kb_relative_information_score: 71.1121, mean_absolute_error: 0.4759, 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: 0.9519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1748.66, usercpu_time_millis: 90.644, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 89.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.5847, kappa: 0.17, kb_relative_information_score: 89.7356, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.491, root_relative_squared_error: 0.982, scimark_benchmark: 1744.0037, usercpu_time_millis: 169.987, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 168.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.5263, kappa: 0.0528, kb_relative_information_score: 3.4426, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5264, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1864.4376, usercpu_time_millis: 3.276, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 3.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.5445, kappa: 0.0891, kb_relative_information_score: 47.7488, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5446, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1874.5188, usercpu_time_millis: 15.501, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 15.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.5904, kappa: 0.1815, kb_relative_information_score: 107.8734, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5911, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9872, scimark_benchmark: 1861.3236, usercpu_time_millis: 38.528, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 38.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.5954, kappa: 0.1914, kb_relative_information_score: 96.4595, mean_absolute_error: 0.4666, 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: 0.9333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1834.575, usercpu_time_millis: 42.13, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 40.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 94.6844, mean_absolute_error: 0.4666, 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: 0.9332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0028, scimark_benchmark: 1749.2321, usercpu_time_millis: 62.071, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 61.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5376, kappa: 0.0759, kb_relative_information_score: 46.4013, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5381, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9897, scimark_benchmark: 1857.465, usercpu_time_millis: 64.813, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 64.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.5358, kappa: 0.0743, kb_relative_information_score: 24.6489, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5376, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1862.0186, usercpu_time_millis: 69.482, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 68.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.5364, kappa: 0.0776, kb_relative_information_score: 19.6917, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5396, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, scimark_benchmark: 1749.1199, usercpu_time_millis: 72.522, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 72.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.5879, kappa: 0.1766, kb_relative_information_score: 119.0547, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5886, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1836.9989, usercpu_time_millis: 200.504, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 199.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5544, kappa: 0.1089, kb_relative_information_score: 59.7501, mean_absolute_error: 0.4798, 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: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9893, scimark_benchmark: 1858.7632, usercpu_time_millis: 198.727, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 197.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 57.7963, mean_absolute_error: 0.4806, 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: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1861.2508, usercpu_time_millis: 312.182, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 310.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5273, f_measure: 0.512, kappa: 0.0528, kb_relative_information_score: 8.0865, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5299, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, f_measure: 0.3554, kappa: -0.0198, kb_relative_information_score: -2.6802, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4397, predictive_accuracy: 0.4901, prior_entropy: 1, recall: 0.4901, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, 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: 0.5003, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.451, 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: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.451, kb_relative_information_score: -0.0056, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.5289, kappa: 0.0578, kb_relative_information_score: 5.6198, mean_absolute_error: 0.4983, 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: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988,

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