OpenML
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 145878 Supervised Classification wdbc 76354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.2698, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.2142, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.416, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 482.2753, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3636, scimark_benchmark: 1867.8707, usercpu_time_millis: 6.446, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 5.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 488.165, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3725, scimark_benchmark: 1873.0711, usercpu_time_millis: 3.456, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 3.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 482.6159, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.37, scimark_benchmark: 1859.4881, usercpu_time_millis: 2.674, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 2.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9406, kappa: 0.8736, kb_relative_information_score: 435.9546, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9417, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4374, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.453, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 462.0361, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3897, scimark_benchmark: 1823.1744, usercpu_time_millis: 1.242, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4838, kb_relative_information_score: -0.2491, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1873.019, usercpu_time_millis: 0.494, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 461.5894, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4144, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 460.2856, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4021, scimark_benchmark: 1864.3281, usercpu_time_millis: 2.165, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 438.2434, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.441, scimark_benchmark: 1855.3856, usercpu_time_millis: 3.31, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 3.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 348.3433, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5246, scimark_benchmark: 1839.0375, usercpu_time_millis: 0.475, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.937, kappa: 0.866, kb_relative_information_score: 442.1769, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9379, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.439, scimark_benchmark: 1844.6801, usercpu_time_millis: 3.521, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 3.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9236, kappa: 0.8354, kb_relative_information_score: 390.9611, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9251, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4852, scimark_benchmark: 1864.4376, usercpu_time_millis: 1.492, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 463.017, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4096, scimark_benchmark: 1855.0232, usercpu_time_millis: 4.53, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 4.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9452, kappa: 0.8822, kb_relative_information_score: 338.3376, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5359, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 472.2998, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3829, scimark_benchmark: 1841.6336, usercpu_time_millis: 1.295, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 450.7659, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4325, scimark_benchmark: 1850.5437, usercpu_time_millis: 5.597, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 5.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.937, kappa: 0.866, kb_relative_information_score: 439.4536, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9379, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4427, scimark_benchmark: 1867.725, usercpu_time_millis: 0.753, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: -0.2293, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1870.1396, usercpu_time_millis: 0.343, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9492, kappa: 0.8919, kb_relative_information_score: 449.4621, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9499, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4165, scimark_benchmark: 1871.9601, usercpu_time_millis: 2.633, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 2.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9369, kappa: 0.8654, kb_relative_information_score: 432.7861, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9373, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4551, scimark_benchmark: 1874.1301, usercpu_time_millis: 4.992, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 4.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 483.9118, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3768, scimark_benchmark: 1857.0358, usercpu_time_millis: 2.632, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 2.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9283, kappa: 0.8478, kb_relative_information_score: 441.8792, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9298, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.462, scimark_benchmark: 1865.9581, usercpu_time_millis: 6.322, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 6.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 465.8039, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3928, scimark_benchmark: 1843.3995, usercpu_time_millis: 3.377, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 3.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.1813, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1867.725, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9526, kappa: 0.8986, kb_relative_information_score: 465.8491, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3974, scimark_benchmark: 1867.725, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.951, kappa: 0.8955, kb_relative_information_score: 460.093, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9515, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4058, scimark_benchmark: 1846.1719, usercpu_time_millis: 1.491, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9544, kappa: 0.9028, kb_relative_information_score: 457.8663, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9548, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4015, scimark_benchmark: 1866.5348, usercpu_time_millis: 2.037, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 474.1114, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3831, scimark_benchmark: 1857.0358, usercpu_time_millis: 6.815, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 6.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 439.7314, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4057, scimark_benchmark: 1850.4949, usercpu_time_millis: 2.919, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 2.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1721, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1856.0694, usercpu_time_millis: 0.991, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 461.163, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.415, scimark_benchmark: 1857.1054, usercpu_time_millis: 1.672, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9561, kappa: 0.9063, kb_relative_information_score: 463.5784, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.191, root_relative_squared_error: 0.395, scimark_benchmark: 1855.6183, usercpu_time_millis: 1.648, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9509, kappa: 0.8953, kb_relative_information_score: 457.9923, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9513, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.406, scimark_benchmark: 1873.0711, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.189,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9335, kappa: 0.8585, kb_relative_information_score: 475.3989, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9344, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4803, scimark_benchmark: 1870.4728, usercpu_time_millis: 20.608, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 20.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9316, kappa: 0.8541, kb_relative_information_score: 454.9723, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9319, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4552, scimark_benchmark: 1862.9503, usercpu_time_millis: 6.381, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 6.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 438.7738, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4064, scimark_benchmark: 1869.9351, usercpu_time_millis: 3.479, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 3.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4838, kb_relative_information_score: -0.0606, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1867.4545, usercpu_time_millis: 0.268, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1098, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.991, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 455.7728, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4003, scimark_benchmark: 1869.7524, usercpu_time_millis: 3.324, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 2.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9283, kappa: 0.8478, kb_relative_information_score: 442.2987, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9298, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4604, scimark_benchmark: 1869.2422, usercpu_time_millis: 13.767, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 13.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 446.1902, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4086, scimark_benchmark: 1860.4615, usercpu_time_millis: 3.792, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 3.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 471.1602, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4057, scimark_benchmark: 1853.5846, usercpu_time_millis: 8.211, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 8.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 480.0739, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3793, scimark_benchmark: 1829.2937, usercpu_time_millis: 3.656, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 3.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9387, kappa: 0.8693, kb_relative_information_score: 457.4435, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4381, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.875, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9509, kappa: 0.8951, kb_relative_information_score: 461.5119, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9511, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.404, scimark_benchmark: 1863.6037, usercpu_time_millis: 3.304, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 482.3747, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3701, scimark_benchmark: 1868.784, usercpu_time_millis: 6.868, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 6.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9217, kappa: 0.831, kb_relative_information_score: 397.119, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9238, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.238, root_relative_squared_error: 0.4923, scimark_benchmark: 1860.2649, usercpu_time_millis: 2.006, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4838, kb_relative_information_score: 0.5118, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1871.8506, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: 0.1702, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 464.4009, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4057, scimark_benchmark: 1868.1832, usercpu_time_millis: 8.898, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 8.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.1422, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1862.5409, usercpu_time_millis: 1.067, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 459.0105, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4101, scimark_benchmark: 1858.9846, usercpu_time_millis: 3.751, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 3.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 482.0626, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.367, scimark_benchmark: 1850.4942, usercpu_time_millis: 8.75, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 8.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9543, kappa: 0.9025, kb_relative_information_score: 466.5369, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9544, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3939, scimark_benchmark: 1870.9768, usercpu_time_millis: 1.767, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: -0.0374, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.92, kappa: 0.8274, kb_relative_information_score: 397.7732, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9218, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4959, scimark_benchmark: 1867.725, usercpu_time_millis: 2.367, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9666, kappa: 0.9286, kb_relative_information_score: 459.2113, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3806, scimark_benchmark: 1807.4271, usercpu_time_millis: 0.74, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9492, kappa: 0.8915, kb_relative_information_score: 462.2989, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9494, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.3986, scimark_benchmark: 1874.1301, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: 0.2268, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1864.8572, usercpu_time_millis: 0.738, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9457, kappa: 0.8842, kb_relative_information_score: 453.033, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9462, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4177, scimark_benchmark: 1810.4058, usercpu_time_millis: 3.022, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 2.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 483.9926, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3596, scimark_benchmark: 1871.5019, usercpu_time_millis: 6.24, usercpu_time_millis_testing: 0.599, usercpu_time_millis_training: 5.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: -0.1607, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1843.4025, usercpu_time_millis: 0.953, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9218, kappa: 0.8314, kb_relative_information_score: 403.5374, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9235, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.483, scimark_benchmark: 1828.8818, usercpu_time_millis: 1.883, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9437, kappa: 0.8795, kb_relative_information_score: 470.6118, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9437, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4473, scimark_benchmark: 1862.4223, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9526, kappa: 0.8986, kb_relative_information_score: 472.3287, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3905, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.418, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 2.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9473, kappa: 0.8872, kb_relative_information_score: 459.6431, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4192, scimark_benchmark: 1869.8223, usercpu_time_millis: 4.86, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 4.657,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs