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: 0.9895, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 473.445, mean_absolute_error: 0.0862, 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: 0.1843, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3798, scimark_benchmark: 1714.7036, usercpu_time_millis: 4.723, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 4.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9594, kappa: 0.913, kb_relative_information_score: 456.1617, mean_absolute_error: 0.1056, 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: 0.2259, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3842, scimark_benchmark: 1718.8527, usercpu_time_millis: 4.033, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 3.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 482.3822, mean_absolute_error: 0.0777, 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: 0.1661, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3701, scimark_benchmark: 1721.4338, usercpu_time_millis: 4.385, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 4.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 465.1007, mean_absolute_error: 0.0921, 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: 0.197, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4035, scimark_benchmark: 1745.7659, usercpu_time_millis: 2.722, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 2.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 474.2239, mean_absolute_error: 0.0854, 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: 0.1825, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3811, scimark_benchmark: 1743.483, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 459.7567, mean_absolute_error: 0.0987, 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: 0.211, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3988, scimark_benchmark: 1723.7604, usercpu_time_millis: 1.243, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.942, kappa: 0.8761, kb_relative_information_score: 464.1535, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9421, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.205, root_relative_squared_error: 0.424, scimark_benchmark: 1412.3897, usercpu_time_millis: 18.567, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 18.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 459.9096, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4195, scimark_benchmark: 1442.8, usercpu_time_millis: 1.592, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 454.9805, mean_absolute_error: 0.1024, 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: 0.2189, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4127, scimark_benchmark: 1400.2476, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 471.4812, mean_absolute_error: 0.087, 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: 0.186, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3882, scimark_benchmark: 1407.6296, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 2.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 471.3861, mean_absolute_error: 0.0873, 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: 0.1866, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3899, scimark_benchmark: 1418.5192, usercpu_time_millis: 0.491, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 468.274, mean_absolute_error: 0.0889, 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: 0.19, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4045, scimark_benchmark: 1370.69, usercpu_time_millis: 12.784, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 12.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9318, kappa: 0.8549, kb_relative_information_score: 446.5, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9328, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4401, scimark_benchmark: 1370.6904, usercpu_time_millis: 3.072, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 2.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 483.625, 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: 0.1655, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3589, scimark_benchmark: 1372.8916, usercpu_time_millis: 7.91, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 7.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 464.6562, mean_absolute_error: 0.092, 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: 0.1967, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4099, scimark_benchmark: 1370.1032, usercpu_time_millis: 4.314, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 4.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.8834, kb_relative_information_score: 462.2064, mean_absolute_error: 0.0939, 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: 0.2009, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4186, scimark_benchmark: 1382.5574, usercpu_time_millis: 9.914, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 9.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 475.3714, mean_absolute_error: 0.0839, 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: 0.1795, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3814, scimark_benchmark: 1380.0052, usercpu_time_millis: 5.007, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 4.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: -0.1574, 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: 1381.125, usercpu_time_millis: 0.876, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 476.739, mean_absolute_error: 0.0833, 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: 0.1781, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3735, scimark_benchmark: 1369.2469, usercpu_time_millis: 5.833, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 5.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 481.9251, mean_absolute_error: 0.0789, 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: 0.1687, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3632, scimark_benchmark: 1378.5373, usercpu_time_millis: 5.614, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 5.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9326, kappa: 0.8549, kb_relative_information_score: 389.5145, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9337, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4805, scimark_benchmark: 1378.2269, usercpu_time_millis: 1.484, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9124, kappa: 0.8131, kb_relative_information_score: 451.2806, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9128, predictive_accuracy: 0.9121, prior_entropy: 0.953, recall: 0.9121, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.291, root_relative_squared_error: 0.6018, scimark_benchmark: 1374.9719, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 482.6368, mean_absolute_error: 0.0752, 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: 0.1608, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3929, scimark_benchmark: 1375.5962, usercpu_time_millis: 2.715, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 2.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 466.1179, mean_absolute_error: 0.0908, 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: 0.1942, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4073, scimark_benchmark: 1370.9718, usercpu_time_millis: 6.595, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 6.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 464.7034, mean_absolute_error: 0.0915, 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: 0.1957, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4157, scimark_benchmark: 1377.1567, usercpu_time_millis: 20.304, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 20.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 475.441, 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: 0.1801, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3777, scimark_benchmark: 1375.2234, usercpu_time_millis: 3.072, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 2.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 451.7312, mean_absolute_error: 0.1056, 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: 0.2259, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.415, scimark_benchmark: 1365.8924, usercpu_time_millis: 1.961, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 471.8936, mean_absolute_error: 0.0859, 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: 0.1837, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3965, scimark_benchmark: 1358.285, usercpu_time_millis: 9.562, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 9.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 430.0863, mean_absolute_error: 0.1274, 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: 0.2724, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4401, scimark_benchmark: 1369.9217, usercpu_time_millis: 2.278, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 2.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9559, kappa: 0.9054, kb_relative_information_score: 482.0187, mean_absolute_error: 0.0775, 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: 0.1658, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3772, scimark_benchmark: 1374.8698, usercpu_time_millis: 9.208, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 9.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9202, kappa: 0.828, kb_relative_information_score: 406.6688, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9212, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4846, scimark_benchmark: 1381.5478, usercpu_time_millis: 2.209, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9396, kappa: 0.8697, kb_relative_information_score: 300.6552, mean_absolute_error: 0.2527, 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: 0.5403, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5902, scimark_benchmark: 1378.091, usercpu_time_millis: 1.492, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 464.4468, mean_absolute_error: 0.0931, 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: 0.1991, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.401, scimark_benchmark: 1380.0576, usercpu_time_millis: 4.894, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 4.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1642, 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: 1374.1957, usercpu_time_millis: 1.042, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: 0.1788, 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: 1379.0317, usercpu_time_millis: 1.081, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.893,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 455.3828, mean_absolute_error: 0.1008, 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: 0.2156, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4228, scimark_benchmark: 1368.2507, usercpu_time_millis: 7.665, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 7.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 467.958, mean_absolute_error: 0.0887, 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: 0.1898, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4091, scimark_benchmark: 1387.4049, usercpu_time_millis: 4.163, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9308, kappa: 0.851, kb_relative_information_score: 414.1172, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.932, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4644, scimark_benchmark: 1384.3257, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4838, kb_relative_information_score: 0.2066, 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: 1373.247, usercpu_time_millis: 1.334, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.1717, 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: 1380.7792, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4838, kb_relative_information_score: 0.162, 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: 1354.4314, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9271, kappa: 0.8427, kb_relative_information_score: 382.7362, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.929, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.24, root_relative_squared_error: 0.4965, scimark_benchmark: 1380.4734, usercpu_time_millis: 1.868, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 458.1149, mean_absolute_error: 0.0985, 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: 0.2106, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4163, scimark_benchmark: 1381.2783, usercpu_time_millis: 5.674, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 5.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4838, kb_relative_information_score: 0.1241, 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: 1388.844, usercpu_time_millis: 1.264, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 480.7085, mean_absolute_error: 0.0795, 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: 0.17, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.37, scimark_benchmark: 1381.9444, usercpu_time_millis: 3.862, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 3.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 468.0067, mean_absolute_error: 0.0913, 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: 0.1952, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3896, scimark_benchmark: 1374.3401, usercpu_time_millis: 2.653, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 2.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9612, kappa: 0.9168, kb_relative_information_score: 483.6684, 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: 0.1636, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3689, scimark_benchmark: 1377.9747, usercpu_time_millis: 3.145, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.4838, kb_relative_information_score: 0.1009, 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: 1376.9725, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4838, kb_relative_information_score: 0.2909, 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: 1375.0386, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 452.6898, mean_absolute_error: 0.104, 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: 0.2225, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4217, scimark_benchmark: 1372.5725, usercpu_time_millis: 1.978, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9438, kappa: 0.8797, kb_relative_information_score: 463.5397, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9438, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4253, scimark_benchmark: 1383.7942, usercpu_time_millis: 15.547, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 15.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 480.4311, mean_absolute_error: 0.0803, 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: 0.1717, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3649, scimark_benchmark: 1370.4687, usercpu_time_millis: 0.78, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 479.7706, mean_absolute_error: 0.0811, 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: 0.1734, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3652, scimark_benchmark: 1381.0467, usercpu_time_millis: 5.669, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 5.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 469.7723, mean_absolute_error: 0.0887, 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: 0.1896, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.3901, scimark_benchmark: 1375.3415, usercpu_time_millis: 5.76, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 5.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 461.2607, mean_absolute_error: 0.0961, 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: 0.2055, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4043, scimark_benchmark: 1377.754, usercpu_time_millis: 3.803, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 3.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 482.5887, mean_absolute_error: 0.0783, 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: 0.1674, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3627, scimark_benchmark: 1371.36, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4838, kb_relative_information_score: -0.1383, 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: 1377.9002, usercpu_time_millis: 1.134, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9472, kappa: 0.887, kb_relative_information_score: 462.427, mean_absolute_error: 0.0946, 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: 0.2023, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4028, scimark_benchmark: 1357.2004, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: 0.2341, 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: 1371.3026, usercpu_time_millis: 0.802, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 480.6551, mean_absolute_error: 0.079, 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: 0.1689, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3766, scimark_benchmark: 1377.8393, usercpu_time_millis: 11.918, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 11.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 487.1839, mean_absolute_error: 0.0727, 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: 0.1555, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3721, scimark_benchmark: 1379.3388, usercpu_time_millis: 9.268, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 9.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 478.3856, mean_absolute_error: 0.0814, 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: 0.1741, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3748, scimark_benchmark: 1377.5223, usercpu_time_millis: 6.897, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 6.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 480.4684, mean_absolute_error: 0.0804, 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: 0.1719, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3622, scimark_benchmark: 1378.0598, usercpu_time_millis: 3.082, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 2.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9489, kappa: 0.8903, kb_relative_information_score: 420.6199, mean_absolute_error: 0.1382, 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: 0.2956, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4423, scimark_benchmark: 1381.2683, usercpu_time_millis: 3.88, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 452.7886, mean_absolute_error: 0.1028, 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: 0.2197, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4294, scimark_benchmark: 1368.6816, usercpu_time_millis: 6.606, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 6.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9367, kappa: 0.8647, kb_relative_information_score: 454.4374, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4457, scimark_benchmark: 1381.3589, usercpu_time_millis: 2.337, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 2.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 479.7119, mean_absolute_error: 0.0798, 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: 0.1706, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3792, scimark_benchmark: 1371.185, usercpu_time_millis: 19.946, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 19.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 480.548, mean_absolute_error: 0.0789, 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: 0.1688, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3787, scimark_benchmark: 1372.666, usercpu_time_millis: 5.521, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 5.406,

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