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: 0.4964, f_measure: 0.4838, kb_relative_information_score: -0.3563, 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: 1.0001, scimark_benchmark: 1859.2355, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.1809, 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: 1.0001, scimark_benchmark: 1869.2422, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4838, kb_relative_information_score: 0.2626, 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: 1868.784, usercpu_time_millis: 0.589, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.3474, 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: 1852.9989, usercpu_time_millis: 0.332, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9526, kappa: 0.8986, kb_relative_information_score: 463.4538, mean_absolute_error: 0.093, 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: 0.199, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.411, scimark_benchmark: 1869.1029, usercpu_time_millis: 5.686, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 5.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9439, kappa: 0.8802, kb_relative_information_score: 456.9963, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9441, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4099, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.424, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 448.7246, mean_absolute_error: 0.109, 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: 0.2332, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4177, scimark_benchmark: 1845.0852, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 474.2846, mean_absolute_error: 0.0844, 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: 0.1805, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3802, scimark_benchmark: 1862.932, usercpu_time_millis: 2.847, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 2.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 471.0343, mean_absolute_error: 0.0873, 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: 0.1866, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3892, scimark_benchmark: 1857.5664, usercpu_time_millis: 6.588, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 6.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 470.3833, mean_absolute_error: 0.0872, 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: 0.1865, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3954, scimark_benchmark: 1874.1301, usercpu_time_millis: 3.416, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 3.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9473, kappa: 0.8872, kb_relative_information_score: 462.6394, mean_absolute_error: 0.0931, 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: 0.1992, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4185, scimark_benchmark: 1859.2172, usercpu_time_millis: 8.013, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 7.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: 0.1816, 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: 1854.2898, usercpu_time_millis: 0.959, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 460.5401, mean_absolute_error: 0.0952, 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: 0.2036, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4182, scimark_benchmark: 1863.203, usercpu_time_millis: 8.516, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 8.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 479.7732, mean_absolute_error: 0.0806, 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: 0.1723, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3681, scimark_benchmark: 1723.5634, usercpu_time_millis: 1.648, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 1.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9596, kappa: 0.9138, kb_relative_information_score: 479.9642, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.378, scimark_benchmark: 1869.5411, usercpu_time_millis: 1.655, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 1.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9257, kappa: 0.8403, kb_relative_information_score: 413.3249, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9261, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4669, scimark_benchmark: 1842.8726, usercpu_time_millis: 2.239, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 2.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9438, kappa: 0.8799, kb_relative_information_score: 456.2016, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4311, scimark_benchmark: 1852.4239, usercpu_time_millis: 2.239, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 2.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: 0.258, 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: 0.9996, 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: 0.803, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: -0.1233, 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: 1840.6628, usercpu_time_millis: 0.341, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 480.0189, mean_absolute_error: 0.0781, 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: 0.167, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3862, scimark_benchmark: 1873.4078, usercpu_time_millis: 8.803, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 8.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.4838, kb_relative_information_score: 0.052, 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: 1794.014, usercpu_time_millis: 1.067, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 474.2156, mean_absolute_error: 0.0845, 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: 0.1806, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3822, scimark_benchmark: 1870.2804, usercpu_time_millis: 1.073, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 459.9824, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4116, scimark_benchmark: 1795.0286, usercpu_time_millis: 3.466, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 3.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9217, kappa: 0.831, kb_relative_information_score: 391.0201, mean_absolute_error: 0.164, 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: 0.3506, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5038, scimark_benchmark: 1837.5986, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 465.7186, mean_absolute_error: 0.0902, 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: 0.1928, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4128, scimark_benchmark: 1842.1617, usercpu_time_millis: 2.385, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 2.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 461.4447, mean_absolute_error: 0.0944, 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: 0.2019, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.417, scimark_benchmark: 1835.0002, usercpu_time_millis: 2.802, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 2.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 463.2282, mean_absolute_error: 0.0926, 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: 0.198, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4177, scimark_benchmark: 1847.4043, usercpu_time_millis: 13.447, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 13.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 446.0157, mean_absolute_error: 0.1097, 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: 0.2345, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4367, scimark_benchmark: 1789.4416, usercpu_time_millis: 5.828, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 5.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 479.6637, mean_absolute_error: 0.0799, 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: 0.1709, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3718, scimark_benchmark: 1802.3685, usercpu_time_millis: 7.208, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 6.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 477.7373, mean_absolute_error: 0.0818, 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: 0.1748, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3745, scimark_benchmark: 1843.0813, usercpu_time_millis: 4.951, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 4.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 455.3715, mean_absolute_error: 0.1016, 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: 0.2172, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4119, scimark_benchmark: 1845.9861, usercpu_time_millis: 0.318, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9282, kappa: 0.8469, kb_relative_information_score: 445.907, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9287, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4692, scimark_benchmark: 1872.0299, usercpu_time_millis: 11.01, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 10.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 446.6676, mean_absolute_error: 0.1143, 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: 0.2444, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3984, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9471, kappa: 0.8866, kb_relative_information_score: 377.7771, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4861, scimark_benchmark: 1860.7926, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9596, kappa: 0.9138, kb_relative_information_score: 471.6067, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3862, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.792, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.742,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 479.3627, mean_absolute_error: 0.0815, 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: 0.1744, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3628, scimark_benchmark: 1858.5184, usercpu_time_millis: 5.238, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 4.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 442.0289, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4419, scimark_benchmark: 1853.9195, usercpu_time_millis: 3.055, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 2.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: 0.1389, 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: 1854.6858, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 442.7441, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4503, scimark_benchmark: 1871.2001, usercpu_time_millis: 5.764, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 5.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9183, kappa: 0.8237, kb_relative_information_score: 408.453, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9199, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4769, scimark_benchmark: 1874.1301, usercpu_time_millis: 0.297, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9173, kappa: 0.8209, kb_relative_information_score: 303.809, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.924, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5877, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.498, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 421.1459, mean_absolute_error: 0.1396, 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: 0.2985, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4312, scimark_benchmark: 1852.8165, usercpu_time_millis: 1.538, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 476.4717, mean_absolute_error: 0.0825, 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: 0.1763, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3804, scimark_benchmark: 1873.4078, usercpu_time_millis: 8.506, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 8.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4838, kb_relative_information_score: 0.2241, 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: 1874.0573, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9201, kappa: 0.8277, kb_relative_information_score: 383.6368, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9215, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.4976, scimark_benchmark: 1866.7447, usercpu_time_millis: 0.304, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 468.5522, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3953, scimark_benchmark: 1869.7524, usercpu_time_millis: 2.656, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 2.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 466.646, mean_absolute_error: 0.09, 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: 0.1924, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4062, scimark_benchmark: 1850.0944, usercpu_time_millis: 9.097, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 8.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9331, kappa: 0.8566, kb_relative_information_score: 448.9351, mean_absolute_error: 0.1045, 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: 0.2235, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4549, scimark_benchmark: 1853.8358, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 478.8262, mean_absolute_error: 0.08, 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: 0.1711, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3746, scimark_benchmark: 1854.8036, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 462.399, mean_absolute_error: 0.094, 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: 0.2011, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4082, scimark_benchmark: 1877.4076, usercpu_time_millis: 4.668, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 4.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 466.8851, mean_absolute_error: 0.0898, 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: 0.1921, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4094, scimark_benchmark: 1871.0467, usercpu_time_millis: 1.114, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 455.8721, mean_absolute_error: 0.1004, 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: 0.2148, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.419, scimark_benchmark: 1854.8036, usercpu_time_millis: 1.91, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1536, 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: 1849.5861, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 478.426, mean_absolute_error: 0.081, 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: 0.1731, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3732, scimark_benchmark: 1845.4779, usercpu_time_millis: 3.006, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 2.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9133, kappa: 0.812, kb_relative_information_score: 243.2973, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9227, predictive_accuracy: 0.9156, prior_entropy: 0.953, recall: 0.9156, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.672, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.917, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 469.4836, mean_absolute_error: 0.0882, 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: 0.1885, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3923, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.865, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9396, kappa: 0.8697, kb_relative_information_score: 290.182, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9415, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6047, scimark_benchmark: 1859.035, usercpu_time_millis: 1.876, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9526, kappa: 0.8986, kb_relative_information_score: 476.972, mean_absolute_error: 0.0809, 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: 0.1729, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3928, scimark_benchmark: 1848.0952, usercpu_time_millis: 2.295, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 2.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 481.1173, mean_absolute_error: 0.0778, 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: 0.1663, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.379, scimark_benchmark: 1872.8797, usercpu_time_millis: 8.001, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 7.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: 0.0711, 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: 0.4836, root_relative_squared_error: 1.0001, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 480.9606, mean_absolute_error: 0.0774, 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: 0.1656, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3851, scimark_benchmark: 1872.4881, usercpu_time_millis: 15.683, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 15.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 461.6587, mean_absolute_error: 0.0943, 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: 0.2016, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4135, scimark_benchmark: 1846.6923, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 478.4257, mean_absolute_error: 0.0808, 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: 0.1729, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3752, scimark_benchmark: 1851.3287, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.2055, 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, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.292, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9386, kappa: 0.8688, kb_relative_information_score: 416.4572, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4519, scimark_benchmark: 1852.4278, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 441.7393, mean_absolute_error: 0.114, 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: 0.2438, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4398, scimark_benchmark: 1853.8358, usercpu_time_millis: 2.054, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 438.6941, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9395, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4353, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8982, kappa: 0.78, kb_relative_information_score: 387.3957, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9012, predictive_accuracy: 0.8998, prior_entropy: 0.953, recall: 0.8998, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5657, scimark_benchmark: 1856.0054, usercpu_time_millis: 1.941, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.82,

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