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: 0.9876, f_measure: 0.9405, kappa: 0.8732, kb_relative_information_score: 450.1169, mean_absolute_error: 0.106, 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: 0.2268, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4233, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.448, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 477.3769, mean_absolute_error: 0.08, 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: 0.171, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3953, scimark_benchmark: 1850.9355, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: 0.0055, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1870.3532, usercpu_time_millis: 0.953, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.4838, kb_relative_information_score: -0.0932, 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: 788.7237, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 474.1739, mean_absolute_error: 0.0858, 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: 0.1835, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3751, scimark_benchmark: 1755.2822, usercpu_time_millis: 3.315, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 3.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 447.3269, mean_absolute_error: 0.114, 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: 0.2438, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3948, scimark_benchmark: 1835.093, usercpu_time_millis: 4.712, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 4.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 481.0086, mean_absolute_error: 0.0784, 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: 0.1677, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3714, scimark_benchmark: 1834.5679, usercpu_time_millis: 5.223, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 4.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 453.3221, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4329, scimark_benchmark: 1872.0299, usercpu_time_millis: 4.386, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 4.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 482.983, mean_absolute_error: 0.0752, 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: 0.1607, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.386, scimark_benchmark: 1874.925, usercpu_time_millis: 4.393, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 4.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 468.7942, mean_absolute_error: 0.089, 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: 0.1904, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3942, scimark_benchmark: 1870.9768, usercpu_time_millis: 5.504, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 5.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 468.1402, mean_absolute_error: 0.0891, 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: 0.1905, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3995, scimark_benchmark: 789.8912, usercpu_time_millis: 11.784, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 11.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 470.4154, mean_absolute_error: 0.0875, 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: 0.1871, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3915, scimark_benchmark: 789.5549, usercpu_time_millis: 14.042, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 13.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 456.5859, mean_absolute_error: 0.0991, 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: 0.212, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4225, scimark_benchmark: 788.9778, usercpu_time_millis: 19.052, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 18.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 461.1027, mean_absolute_error: 0.0952, 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: 0.2036, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4114, scimark_benchmark: 1867.725, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9492, kappa: 0.8915, kb_relative_information_score: 452.9095, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9494, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4168, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.524, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 475.8617, mean_absolute_error: 0.0831, 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: 0.1776, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3797, scimark_benchmark: 1867.725, usercpu_time_millis: 1.799, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 442.1402, mean_absolute_error: 0.1134, 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: 0.2426, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4419, scimark_benchmark: 788.7237, usercpu_time_millis: 4.149, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 3.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9631, kappa: 0.9211, kb_relative_information_score: 471.6034, mean_absolute_error: 0.0896, 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: 0.1916, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3678, scimark_benchmark: 1836.4559, usercpu_time_millis: 6.398, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 5.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 480.3483, mean_absolute_error: 0.0789, 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: 0.1687, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.3759, scimark_benchmark: 1767.7895, usercpu_time_millis: 7.315, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 7.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 481.5302, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3769, scimark_benchmark: 1867.1452, usercpu_time_millis: 12.523, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 12.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.8836, kb_relative_information_score: 460.8028, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4189, scimark_benchmark: 789.5549, usercpu_time_millis: 13.445, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 13.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 473.5426, mean_absolute_error: 0.0842, 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: 0.1801, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3955, scimark_benchmark: 1811.4867, usercpu_time_millis: 16.602, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 16.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1361, 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: 1871.5019, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9056, kappa: 0.7963, kb_relative_information_score: 389.9599, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9077, predictive_accuracy: 0.9069, prior_entropy: 0.953, recall: 0.9069, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5408, scimark_benchmark: 1835.6067, usercpu_time_millis: 2.677, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 2.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 438.8656, mean_absolute_error: 0.1166, 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: 0.2493, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.45, scimark_benchmark: 790.158, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9183, kappa: 0.8237, kb_relative_information_score: 401.7703, mean_absolute_error: 0.1527, 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: 0.3266, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.4879, scimark_benchmark: 1832.0432, usercpu_time_millis: 2.562, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 2.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 459.8992, mean_absolute_error: 0.0969, 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: 0.2072, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.407, scimark_benchmark: 1867.6581, usercpu_time_millis: 1.603, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9508, kappa: 0.8949, kb_relative_information_score: 392.158, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4712, scimark_benchmark: 1835.093, usercpu_time_millis: 1.461, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9074, kappa: 0.7999, kb_relative_information_score: 395.4435, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9097, predictive_accuracy: 0.9086, prior_entropy: 0.953, recall: 0.9086, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5176, scimark_benchmark: 1765.2589, usercpu_time_millis: 3.844, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 3.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.1812, 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: 1868.7112, usercpu_time_millis: 1.167, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9314, kappa: 0.8533, kb_relative_information_score: 429.5696, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9314, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4618, scimark_benchmark: 1814.7056, usercpu_time_millis: 1.455, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9335, kappa: 0.8582, kb_relative_information_score: 481.3579, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9341, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.454, scimark_benchmark: 1817.9073, usercpu_time_millis: 3.069, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 3.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 464.7288, mean_absolute_error: 0.0922, 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: 0.1972, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.401, scimark_benchmark: 1832.0777, usercpu_time_millis: 2.766, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 453.6526, mean_absolute_error: 0.1012, 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: 0.2163, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4319, scimark_benchmark: 1800.0969, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.4838, kb_relative_information_score: 0.1352, 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: 1853.321, usercpu_time_millis: 0.332, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 479.6277, mean_absolute_error: 0.0791, 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: 0.1692, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3829, scimark_benchmark: 1871.5019, usercpu_time_millis: 8.841, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 8.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9219, kappa: 0.8317, kb_relative_information_score: 408.8456, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9232, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4785, scimark_benchmark: 1758.9474, usercpu_time_millis: 2.601, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 2.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 466.2699, mean_absolute_error: 0.091, 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: 0.1947, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3991, scimark_benchmark: 1873.4078, usercpu_time_millis: 6.389, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 6.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.2196, 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: 1877.8658, usercpu_time_millis: 0.497, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 451.4554, mean_absolute_error: 0.1044, 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: 0.2233, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4275, scimark_benchmark: 788.4836, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.0218, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 787.7345, usercpu_time_millis: 1.322, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9288, kappa: 0.8464, kb_relative_information_score: 382.8369, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.931, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4957, scimark_benchmark: 789.0044, usercpu_time_millis: 2.756, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 2.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 461.2007, mean_absolute_error: 0.0952, 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: 0.2035, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4107, scimark_benchmark: 1869.9448, usercpu_time_millis: 1.221, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 483.2156, mean_absolute_error: 0.0748, 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: 0.16, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3865, scimark_benchmark: 1845.2509, usercpu_time_millis: 6.84, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 6.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 475.3897, mean_absolute_error: 0.0828, 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: 0.177, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.388, scimark_benchmark: 786.9033, usercpu_time_millis: 15.496, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 15.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 457.8118, mean_absolute_error: 0.0961, 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: 0.2054, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4411, scimark_benchmark: 1872.4881, usercpu_time_millis: 16.003, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 15.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9113, kappa: 0.8088, kb_relative_information_score: 397.736, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9124, predictive_accuracy: 0.9121, prior_entropy: 0.953, recall: 0.9121, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5112, scimark_benchmark: 789.6492, usercpu_time_millis: 0.478, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9252, kappa: 0.8384, kb_relative_information_score: 376.2506, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4978, scimark_benchmark: 1840.6995, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: -0.2664, 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: 790.4942, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 462.0295, mean_absolute_error: 0.0947, 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: 0.2024, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4051, scimark_benchmark: 1871.5019, usercpu_time_millis: 5.088, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 4.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.937, kappa: 0.8657, kb_relative_information_score: 401.2825, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9376, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.468, scimark_benchmark: 786.6631, usercpu_time_millis: 3.476, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 3.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 458.0128, mean_absolute_error: 0.0963, 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: 0.206, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.435, scimark_benchmark: 1843.5876, usercpu_time_millis: 3.985, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 3.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 477.2684, mean_absolute_error: 0.0811, 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: 0.1733, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3855, scimark_benchmark: 1872.4881, usercpu_time_millis: 6.269, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 6.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9456, kappa: 0.884, kb_relative_information_score: 458.8125, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9459, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.419, scimark_benchmark: 1838.6023, usercpu_time_millis: 8.055, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 7.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.928, kappa: 0.8463, kb_relative_information_score: 454.6478, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9282, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4563, scimark_benchmark: 1844.7928, usercpu_time_millis: 19.495, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 19.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9457, kappa: 0.8845, kb_relative_information_score: 430.845, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9465, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4359, scimark_benchmark: 1863.066, usercpu_time_millis: 1.99, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.0714, 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: 1868.7112, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.2086, 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: 1872.0299, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 459.3137, mean_absolute_error: 0.0976, 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: 0.2086, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4083, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.531, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 490.5749, mean_absolute_error: 0.0692, 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: 0.1479, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3666, scimark_benchmark: 1874.0573, usercpu_time_millis: 1.703, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: 0.1995, 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: 1874.2812, usercpu_time_millis: 1.173, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 476.5568, mean_absolute_error: 0.0822, 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: 0.1758, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3793, scimark_benchmark: 1864.3474, usercpu_time_millis: 5.996, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 5.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9406, kappa: 0.8736, kb_relative_information_score: 434.1287, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9417, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4446, scimark_benchmark: 1748.5245, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9544, kappa: 0.9026, kb_relative_information_score: 459.1881, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9546, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4069, scimark_benchmark: 1869.8223, usercpu_time_millis: 3.525, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 3.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9526, kappa: 0.8988, kb_relative_information_score: 461.5131, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9527, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4041, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.047, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 2.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.3771, 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: 1906.2745, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.264,

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