OpenML
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: 0.5944, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 65.3327, mean_absolute_error: 0.4779, 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: 0.9558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1872.0299, usercpu_time_millis: 68.021, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 67.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.5964, kappa: 0.1931, kb_relative_information_score: 98.957, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5967, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9799, scimark_benchmark: 1873.4078, usercpu_time_millis: 141.825, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 141.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 63.4007, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1827.2485, usercpu_time_millis: 153.99, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 153.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0128, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, 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: 1862.7172, usercpu_time_millis: 0.672, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5379, kappa: 0.0776, kb_relative_information_score: 19.3694, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5391, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9971, scimark_benchmark: 1820.0886, usercpu_time_millis: 2.664, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 2.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5301, f_measure: 0.5179, kappa: 0.0363, kb_relative_information_score: 19.3113, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5182, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0086, scimark_benchmark: 1865.1205, usercpu_time_millis: 12.39, usercpu_time_millis_testing: 1.548, usercpu_time_millis_training: 10.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.552, kappa: 0.104, kb_relative_information_score: 48.4237, mean_absolute_error: 0.4839, 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: 0.9677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9967, scimark_benchmark: 1782.4914, usercpu_time_millis: 26.392, usercpu_time_millis_testing: 1.623, usercpu_time_millis_training: 24.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.5316, kappa: 0.0644, kb_relative_information_score: 32.9593, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5323, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1835.4417, usercpu_time_millis: 30.359, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 29.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5495, kappa: 0.099, kb_relative_information_score: 48.8678, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1813.2713, usercpu_time_millis: 36.663, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 35.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.5846, kappa: 0.17, kb_relative_information_score: 66.7627, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5853, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9788, scimark_benchmark: 1818.4874, usercpu_time_millis: 56.78, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 56.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.5817, kappa: 0.1634, kb_relative_information_score: 82.3997, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5817, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9765, scimark_benchmark: 1839.708, usercpu_time_millis: 58.961, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 58.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 114.6236, mean_absolute_error: 0.4577, 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: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0224, scimark_benchmark: 1838.4105, usercpu_time_millis: 64.233, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 63.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.5789, kappa: 0.1584, kb_relative_information_score: 76.0531, mean_absolute_error: 0.4742, 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: 0.9483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 1834.1036, usercpu_time_millis: 73.911, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 72.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.5443, kappa: 0.0908, kb_relative_information_score: 31.2583, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5458, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1853.2705, usercpu_time_millis: 77.789, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 77.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.5582, kappa: 0.1172, kb_relative_information_score: 48.7064, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5588, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9903, scimark_benchmark: 1836.2335, usercpu_time_millis: 94.948, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 94.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 79.9257, mean_absolute_error: 0.4725, 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: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1837.9368, usercpu_time_millis: 106.045, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 105.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.5652, kappa: 0.1304, kb_relative_information_score: 67.1365, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9858, scimark_benchmark: 1824.7316, usercpu_time_millis: 132.242, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 131.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.5854, kappa: 0.1716, kb_relative_information_score: 103.747, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5862, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9862, scimark_benchmark: 1836.6916, usercpu_time_millis: 146.125, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 144.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0154, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, 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: 1868.7112, usercpu_time_millis: 0.851, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.4965, kappa: 0.0033, kb_relative_information_score: 0.0069, 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: 1839.6482, usercpu_time_millis: 2.615, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.5093, kappa: 0.0198, kb_relative_information_score: 2.386, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.51, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, scimark_benchmark: 1831.3416, usercpu_time_millis: 2.996, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.5381, kappa: 0.0776, kb_relative_information_score: 29.9226, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.539, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1863.9794, usercpu_time_millis: 9.562, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 9.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.5244, kappa: 0.0545, kb_relative_information_score: 17.214, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5279, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 2148.6813, usercpu_time_millis: 21.946, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 21.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.5176, kappa: 0.0396, kb_relative_information_score: 10.3375, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5202, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1862.7172, usercpu_time_millis: 38.553, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 38.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.5468, kappa: 0.0957, kb_relative_information_score: 33.4988, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5483, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 2127.881, usercpu_time_millis: 44.023, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 43.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 76.8667, mean_absolute_error: 0.4734, 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: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026, scimark_benchmark: 1863.1711, usercpu_time_millis: 177.426, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 176.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.5191, kappa: 0.0396, kb_relative_information_score: 4.0534, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5199, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1819.8653, usercpu_time_millis: 2.15, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.588, kappa: 0.1766, kb_relative_information_score: 88.4599, mean_absolute_error: 0.47, 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: 0.94, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.983, scimark_benchmark: 1836.0236, usercpu_time_millis: 35.516, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 35.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5419, f_measure: 0.5278, kappa: 0.0594, kb_relative_information_score: 23.0426, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5302, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1823.3595, usercpu_time_millis: 40.246, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 39.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 78.2085, mean_absolute_error: 0.4732, 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: 0.9465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1831.9604, usercpu_time_millis: 205.644, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 204.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0087, 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: 1862.932, usercpu_time_millis: 1.538, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.5352, kappa: 0.071, kb_relative_information_score: 16.9665, mean_absolute_error: 0.4947, 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: 0.9895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1725.8048, usercpu_time_millis: 97.178, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 96.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.523, kappa: 0.0495, kb_relative_information_score: 8.6326, mean_absolute_error: 0.4974, 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: 0.9947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 1750.8478, usercpu_time_millis: 6.492, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 6.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.5841, kappa: 0.1683, kb_relative_information_score: 103.1605, mean_absolute_error: 0.4642, 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: 0.9283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9844, scimark_benchmark: 1754.1424, usercpu_time_millis: 19.559, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 19.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.547, kappa: 0.0941, kb_relative_information_score: 37.7099, mean_absolute_error: 0.4874, 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: 0.9747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.003, scimark_benchmark: 1759.2155, usercpu_time_millis: 19.492, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 17.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.5264, kappa: 0.0561, kb_relative_information_score: 13.6925, mean_absolute_error: 0.4957, 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: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9969, scimark_benchmark: 1750.4323, usercpu_time_millis: 44.751, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 44.386,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.5841, kappa: 0.1683, kb_relative_information_score: 89.9312, mean_absolute_error: 0.4686, 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: 0.9371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1850.6054, usercpu_time_millis: 18.076, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 17.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, f_measure: 0.5228, kappa: 0.0479, kb_relative_information_score: 9.6659, mean_absolute_error: 0.4971, 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: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1867.725, usercpu_time_millis: 55.595, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 55.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.589, kappa: 0.1782, kb_relative_information_score: 93.8841, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5892, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1752.223, usercpu_time_millis: 79.595, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 79.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.5798, kappa: 0.1601, kb_relative_information_score: 91.2186, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5802, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 1863.3902, usercpu_time_millis: 82.447, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 81.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5223, kappa: 0.0495, kb_relative_information_score: 15.1075, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5253, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1862.0186, usercpu_time_millis: 124.213, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 123.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0198, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, 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: 1859.1356, usercpu_time_millis: 1.081, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.5543, kappa: 0.1089, kb_relative_information_score: 47.2539, mean_absolute_error: 0.4841, 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: 0.9683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1870.742, usercpu_time_millis: 4.908, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 4.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.4915, kappa: -0.0116, kb_relative_information_score: 14.1367, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4941, predictive_accuracy: 0.4942, prior_entropy: 1, recall: 0.4942, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1260.4538, usercpu_time_millis: 19.803, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 19.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.569, kappa: 0.1386, kb_relative_information_score: 86.5118, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5695, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1083.0334, usercpu_time_millis: 185.725, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 183.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5189, kappa: 0.0429, kb_relative_information_score: 9.9293, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5219, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1744.9079, usercpu_time_millis: 15.817, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 15.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 52.0807, mean_absolute_error: 0.4824, 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: 0.9648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1862.2919, usercpu_time_millis: 39.117, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 38.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5349, kappa: 0.0726, kb_relative_information_score: 33.1854, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5367, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1710.7231, usercpu_time_millis: 81.255, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 79.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 87.1544, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9845, scimark_benchmark: 1863.9794, usercpu_time_millis: 162.366, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 161.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.5456, kappa: 0.0941, kb_relative_information_score: 35.9487, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5476, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1253.0037, usercpu_time_millis: 158.122, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 156.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0168, 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: 1867.725, usercpu_time_millis: 1.779, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.5283, kappa: 0.0578, kb_relative_information_score: 5.1646, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.529, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1866.8213, usercpu_time_millis: 18.149, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 17.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.5346, kappa: 0.0693, kb_relative_information_score: 35.281, mean_absolute_error: 0.4881, 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: 0.9762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1110.0934, usercpu_time_millis: 19.027, usercpu_time_millis_testing: 1.556, usercpu_time_millis_training: 17.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.5881, kappa: 0.1766, kb_relative_information_score: 107.2806, mean_absolute_error: 0.4616, 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: 0.9232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0046, scimark_benchmark: 1751.7584, usercpu_time_millis: 147.224, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 146.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 54.1472, mean_absolute_error: 0.4817, 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: 0.9634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1750.9537, usercpu_time_millis: 10.095, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 9.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 113.6939, mean_absolute_error: 0.458, 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: 0.9159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0156, scimark_benchmark: 1872.0908, usercpu_time_millis: 11.186, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 11.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.5209, kappa: 0.0446, kb_relative_information_score: 9.105, mean_absolute_error: 0.4972, 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: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1857.7844, usercpu_time_millis: 15.828, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 15.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, kb_relative_information_score: -0.0002, 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: 1718.9078, usercpu_time_millis: 2.33, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.5358, kappa: 0.0743, kb_relative_information_score: 34.1551, mean_absolute_error: 0.4888, 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: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9913, scimark_benchmark: 1753.3033, usercpu_time_millis: 12.64, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 12.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.5528, kappa: 0.1056, kb_relative_information_score: 50.2415, mean_absolute_error: 0.4831, 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: 0.9662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1873.4078, usercpu_time_millis: 36.386, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 34.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.541, kappa: 0.0825, kb_relative_information_score: 48.618, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5413, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1866.1009, usercpu_time_millis: 63.411, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 62.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.5955, kappa: 0.1914, kb_relative_information_score: 113.4958, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5959, predictive_accuracy: 0.5957, prior_entropy: 1, recall: 0.5957, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9911, scimark_benchmark: 1869.8223, usercpu_time_millis: 70.849, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 70.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.011, 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: 1874.0573, usercpu_time_millis: 1.278, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.5576, kappa: 0.1155, kb_relative_information_score: 59.4838, mean_absolute_error: 0.4798, 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: 0.9597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0022, scimark_benchmark: 1812.8557, usercpu_time_millis: 2.716, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 2.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0189, 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: 1869.8223, usercpu_time_millis: 1.566, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.5127, kappa: 0.0264, kb_relative_information_score: 2.3245, mean_absolute_error: 0.4993, 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: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, scimark_benchmark: 1871.5019, usercpu_time_millis: 3.957, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 3.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.5659, kappa: 0.132, kb_relative_information_score: 56.0678, mean_absolute_error: 0.4811, 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: 0.9622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9917, scimark_benchmark: 1851.0585, usercpu_time_millis: 30.624, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 30.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.546, kappa: 0.0924, kb_relative_information_score: 46.5687, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5463, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9973, scimark_benchmark: 1870.0005, usercpu_time_millis: 41.09, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 39.578,

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