Task
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: 0.9892, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 462.6391, mean_absolute_error: 0.0957, 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: 0.2046, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.3979, scimark_benchmark: 1779.4322, usercpu_time_millis: 1.018, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4838, kb_relative_information_score: 0.2497, 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, scimark_benchmark: 1737.7678, usercpu_time_millis: 1.32, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4838, kb_relative_information_score: 0.6555, mean_absolute_error: 0.4671, 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: 0.9988, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1806.4025, usercpu_time_millis: 0.449, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 458.3021, mean_absolute_error: 0.0989, 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: 0.2116, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4102, scimark_benchmark: 1857.3829, usercpu_time_millis: 3.686, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 3.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9683, kappa: 0.9322, kb_relative_information_score: 490.6026, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3494, scimark_benchmark: 1882.0331, usercpu_time_millis: 2.985, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 2.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9329, kappa: 0.8558, kb_relative_information_score: 419.8778, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4577, scimark_benchmark: 1787.3686, usercpu_time_millis: 1.865, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 430.6936, mean_absolute_error: 0.1283, 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: 0.2744, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.431, scimark_benchmark: 1815.9428, usercpu_time_millis: 1.796, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 476.3707, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3837, scimark_benchmark: 1794.7335, usercpu_time_millis: 13.39, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 13.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9666, kappa: 0.9284, kb_relative_information_score: 489.7634, mean_absolute_error: 0.0709, 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: 0.1517, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3616, scimark_benchmark: 1862.0865, usercpu_time_millis: 15.09, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 14.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4838, kb_relative_information_score: 0.351, 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: 0.9994, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1870.0005, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 442.385, mean_absolute_error: 0.1135, 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: 0.2428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4406, scimark_benchmark: 1834.1198, usercpu_time_millis: 4.823, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 4.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.942, kappa: 0.8758, kb_relative_information_score: 461.1535, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4377, scimark_benchmark: 1844.2159, usercpu_time_millis: 12.71, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 12.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.4838, kb_relative_information_score: 0.1516, 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: 1862.6595, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9164, kappa: 0.8197, kb_relative_information_score: 395.9521, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9182, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5119, scimark_benchmark: 1751.0393, usercpu_time_millis: 2.962, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 2.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 463.8261, mean_absolute_error: 0.0951, 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: 0.2033, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3939, scimark_benchmark: 1842.3616, usercpu_time_millis: 1.99, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 468.0474, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4053, scimark_benchmark: 1852.2235, usercpu_time_millis: 6.501, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 6.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 483.8995, mean_absolute_error: 0.0767, 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: 0.1641, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3636, scimark_benchmark: 1684.8263, usercpu_time_millis: 4.147, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 3.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 474.3561, mean_absolute_error: 0.0852, 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: 0.1821, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3807, scimark_benchmark: 1812.1236, usercpu_time_millis: 5.271, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 5.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9218, kappa: 0.8314, kb_relative_information_score: 406.943, mean_absolute_error: 0.1485, 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: 0.3175, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4774, scimark_benchmark: 1850.1264, usercpu_time_millis: 2.552, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 2.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 431.6411, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.936, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4583, scimark_benchmark: 1854.6195, usercpu_time_millis: 3.385, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 3.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 464.4692, mean_absolute_error: 0.0927, 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: 0.1983, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4048, scimark_benchmark: 1808.804, usercpu_time_millis: 7.557, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 7.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 466.796, mean_absolute_error: 0.0902, 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: 0.1929, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4041, scimark_benchmark: 1814.5073, usercpu_time_millis: 0.669, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.938, kappa: 0.8665, kb_relative_information_score: 337.4716, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9389, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.539, scimark_benchmark: 1853.5846, usercpu_time_millis: 0.627, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.0441, 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: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1834.6955, usercpu_time_millis: 0.684, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 477.3552, mean_absolute_error: 0.0834, 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: 0.1784, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3669, scimark_benchmark: 1809.3184, usercpu_time_millis: 1.097, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 469.3916, mean_absolute_error: 0.0899, 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: 0.1922, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3855, scimark_benchmark: 1810.1412, usercpu_time_millis: 1.421, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.4838, kb_relative_information_score: 0.1781, 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: 1749.0608, usercpu_time_millis: 1.187, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 455.3225, mean_absolute_error: 0.1025, 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: 0.2192, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4104, scimark_benchmark: 1734.9248, usercpu_time_millis: 3.284, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 475.0635, mean_absolute_error: 0.0842, 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: 0.18, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3811, scimark_benchmark: 1742.7923, usercpu_time_millis: 6.183, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 5.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 479.9135, mean_absolute_error: 0.0798, 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: 0.1706, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3754, scimark_benchmark: 1746.2876, usercpu_time_millis: 11.177, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 10.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 484.3792, mean_absolute_error: 0.0765, 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: 0.1635, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3629, scimark_benchmark: 1751.9236, usercpu_time_millis: 6.022, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 5.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 481.1813, mean_absolute_error: 0.0793, 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: 0.1696, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3686, scimark_benchmark: 1745.0258, usercpu_time_millis: 2.976, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4838, kb_relative_information_score: -0.0828, 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: 1745.7661, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 486.84, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3808, scimark_benchmark: 1760.7726, usercpu_time_millis: 15.06, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 14.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9454, kappa: 0.8831, kb_relative_information_score: 479.733, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4283, scimark_benchmark: 1574.9583, usercpu_time_millis: 12.011, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 11.873,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 462.792, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4167, scimark_benchmark: 1747.0307, usercpu_time_millis: 6.818, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 6.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 477.7013, mean_absolute_error: 0.0816, 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: 0.1745, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3814, scimark_benchmark: 1752.7851, usercpu_time_millis: 11.973, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 11.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.5574, mean_absolute_error: 0.0916, 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: 0.1958, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4044, scimark_benchmark: 1075.6764, usercpu_time_millis: 17.981, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 17.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 483.6517, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3887, scimark_benchmark: 1731.0767, usercpu_time_millis: 15.64, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 15.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 453.2371, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9408, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4324, scimark_benchmark: 1732.4384, usercpu_time_millis: 6.948, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 6.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 473.2346, mean_absolute_error: 0.0861, 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: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3825, scimark_benchmark: 1734.8335, usercpu_time_millis: 3.374, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 3.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 459.3297, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, 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: 0.1918, root_relative_squared_error: 0.3967, scimark_benchmark: 1075.5523, usercpu_time_millis: 4.222, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 3.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 450.3651, mean_absolute_error: 0.1096, 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: 0.2344, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4006, scimark_benchmark: 1739.3121, usercpu_time_millis: 0.875, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 479.2744, mean_absolute_error: 0.0817, 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: 0.1748, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3656, scimark_benchmark: 1717.7792, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9489, kappa: 0.8903, kb_relative_information_score: 457.4357, mean_absolute_error: 0.1004, 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: 0.2146, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4053, scimark_benchmark: 1738.5126, usercpu_time_millis: 0.779, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9405, kappa: 0.8732, kb_relative_information_score: 451.4501, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9411, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4264, scimark_benchmark: 1717.8303, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 484.1517, mean_absolute_error: 0.0751, 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: 0.1607, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3766, scimark_benchmark: 1737.9267, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 463.4746, mean_absolute_error: 0.0951, 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: 0.2034, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3945, scimark_benchmark: 1741.5466, usercpu_time_millis: 0.771, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 463.9169, mean_absolute_error: 0.0923, 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: 0.1974, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4197, scimark_benchmark: 1092.7523, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9506, kappa: 0.8939, kb_relative_information_score: 431.3686, mean_absolute_error: 0.1294, 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: 0.2767, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4184, scimark_benchmark: 1732.4384, usercpu_time_millis: 2.125, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 475.9838, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3776, scimark_benchmark: 1858.0028, usercpu_time_millis: 3.376, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 3.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 483.9463, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3586, scimark_benchmark: 1697.8953, usercpu_time_millis: 5.261, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 4.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 471.7252, mean_absolute_error: 0.0866, 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: 0.1851, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3918, scimark_benchmark: 1741.6105, usercpu_time_millis: 6.975, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 6.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 481.9214, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3655, scimark_benchmark: 1697.1111, usercpu_time_millis: 1.737, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 478.3357, mean_absolute_error: 0.0811, 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: 0.1734, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3807, scimark_benchmark: 1074.2853, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9683, kappa: 0.9321, kb_relative_information_score: 489.5506, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.359, scimark_benchmark: 1753.3033, usercpu_time_millis: 7.996, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 7.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.2097, 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: 1.0001, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1742.2915, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 468.5335, mean_absolute_error: 0.0891, 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: 0.1905, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3989, scimark_benchmark: 1745.4265, usercpu_time_millis: 7.841, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 7.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 470.509, mean_absolute_error: 0.0879, 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: 0.188, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.392, scimark_benchmark: 1752.841, usercpu_time_millis: 7.331, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 7.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 472.6386, mean_absolute_error: 0.0864, 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: 0.1847, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3841, scimark_benchmark: 1964.3703, usercpu_time_millis: 2.506, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 2.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 473.2623, mean_absolute_error: 0.085, 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: 0.1818, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3926, scimark_benchmark: 1751.3544, usercpu_time_millis: 7.97, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 7.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9647, kappa: 0.9244, kb_relative_information_score: 485.151, mean_absolute_error: 0.0752, 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: 0.1609, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3663, scimark_benchmark: 1739.0223, usercpu_time_millis: 2.456, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 2.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1164, 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: 1740.8392, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 469.209, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3866, scimark_benchmark: 1750.7876, usercpu_time_millis: 3.015, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9217, kappa: 0.831, kb_relative_information_score: 402.9393, mean_absolute_error: 0.1519, 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: 0.3249, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4856, scimark_benchmark: 1750.6187, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 480.1431, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3693, scimark_benchmark: 1746.4989, usercpu_time_millis: 5.583, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 5.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9182, kappa: 0.8234, kb_relative_information_score: 397.9106, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9202, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5019, scimark_benchmark: 1739.9311, usercpu_time_millis: 1.146, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.054,

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