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: 0.9905, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 449.3464, mean_absolute_error: 0.1101, 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: 0.2355, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4038, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.556, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9666, kappa: 0.9286, kb_relative_information_score: 451.2863, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3906, scimark_benchmark: 1862.5409, usercpu_time_millis: 0.491, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 471.8481, mean_absolute_error: 0.0851, 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: 0.1819, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4041, scimark_benchmark: 1872.1057, usercpu_time_millis: 5.087, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 4.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 462.4441, mean_absolute_error: 0.0935, 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: 0.1999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.416, scimark_benchmark: 1874.1301, usercpu_time_millis: 12.326, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 11.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 457.6982, mean_absolute_error: 0.0997, 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: 0.2132, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.409, scimark_benchmark: 1868.2531, usercpu_time_millis: 4.737, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 4.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 479.9649, mean_absolute_error: 0.0798, 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: 0.1707, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3704, scimark_benchmark: 1869.7524, usercpu_time_millis: 7.775, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 7.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 472.5457, mean_absolute_error: 0.0861, 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: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3833, scimark_benchmark: 1873.0711, usercpu_time_millis: 4.537, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 4.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: 0.2844, 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: 1824.8097, usercpu_time_millis: 0.841, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9474, kappa: 0.8879, kb_relative_information_score: 449.9227, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4202, scimark_benchmark: 1831.6117, usercpu_time_millis: 1.193, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 486.7764, mean_absolute_error: 0.0727, 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: 0.1554, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3716, scimark_benchmark: 1864.4376, usercpu_time_millis: 6.821, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 6.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 484.2821, mean_absolute_error: 0.0761, 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: 0.1628, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3629, scimark_benchmark: 1865.0384, usercpu_time_millis: 7.81, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 7.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 372.8272, mean_absolute_error: 0.1849, 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: 0.3955, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.239, root_relative_squared_error: 0.4944, scimark_benchmark: 1861.3749, usercpu_time_millis: 1.092, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 479.0881, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3907, scimark_benchmark: 1867.725, usercpu_time_millis: 15.647, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 15.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.951, kappa: 0.8957, kb_relative_information_score: 460.1461, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9518, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4093, scimark_benchmark: 1870.5885, usercpu_time_millis: 0.265, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 479.1847, 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: 0.1801, root_relative_squared_error: 0.3725, scimark_benchmark: 1872.4881, usercpu_time_millis: 4.265, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 3.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9441, kappa: 0.8813, kb_relative_information_score: 442.782, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9456, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4224, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9368, kappa: 0.8652, kb_relative_information_score: 457.4405, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9371, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4454, scimark_benchmark: 1876.2965, usercpu_time_millis: 6.55, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 6.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 470.0792, mean_absolute_error: 0.0869, 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: 0.1857, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4025, scimark_benchmark: 1868.5063, usercpu_time_millis: 12.119, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 11.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: 0.0765, 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: 1865.4622, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 472.8743, mean_absolute_error: 0.0858, 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: 0.1834, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3836, scimark_benchmark: 1865.4622, usercpu_time_millis: 0.561, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 413.4941, mean_absolute_error: 0.1465, 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: 0.3133, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.44, scimark_benchmark: 1870.5885, usercpu_time_millis: 1.517, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9631, kappa: 0.9211, kb_relative_information_score: 489.4331, mean_absolute_error: 0.0702, 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: 0.1502, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3675, scimark_benchmark: 1868.1832, usercpu_time_millis: 4.577, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 4.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 466.9676, mean_absolute_error: 0.0909, 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: 0.1944, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.19, root_relative_squared_error: 0.393, scimark_benchmark: 1868.2531, usercpu_time_millis: 3.301, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9271, kappa: 0.8427, kb_relative_information_score: 389.6127, mean_absolute_error: 0.1666, 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: 0.3563, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.488, scimark_benchmark: 1866.1582, usercpu_time_millis: 1.405, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 454.5421, mean_absolute_error: 0.1018, 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: 0.2178, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4157, scimark_benchmark: 1871.1166, usercpu_time_millis: 3.136, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 454.7987, mean_absolute_error: 0.1051, 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: 0.2247, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.191, root_relative_squared_error: 0.395, scimark_benchmark: 1869.6309, usercpu_time_millis: 2.149, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 454.3264, mean_absolute_error: 0.1055, 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: 0.2256, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3991, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.602, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.338, 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: 1868.9089, usercpu_time_millis: 0.524, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 464.7451, mean_absolute_error: 0.0916, 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: 0.1959, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.41, scimark_benchmark: 1875.3104, usercpu_time_millis: 10.613, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 10.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 478.0026, mean_absolute_error: 0.0821, 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: 0.1757, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3689, scimark_benchmark: 1872.5609, usercpu_time_millis: 5.54, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 5.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 486.5408, mean_absolute_error: 0.0709, 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: 0.1516, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3939, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.03, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 5.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4838, kb_relative_information_score: -0.2006, 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: 1830.1853, usercpu_time_millis: 0.51, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9474, kappa: 0.8879, kb_relative_information_score: 456.6618, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4101, scimark_benchmark: 1846.6923, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 464.4434, mean_absolute_error: 0.0926, 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: 0.1981, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4004, scimark_benchmark: 1827.1289, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 470.9837, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3972, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.679, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.501,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 463.9105, mean_absolute_error: 0.0929, 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: 0.1986, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4053, scimark_benchmark: 1864.4376, usercpu_time_millis: 5.159, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 4.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9301, kappa: 0.8513, kb_relative_information_score: 443.7445, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9313, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4506, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.481, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 3.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 475.9748, mean_absolute_error: 0.0829, 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: 0.1772, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3815, scimark_benchmark: 1868.2531, usercpu_time_millis: 6.84, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 6.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 483.6481, mean_absolute_error: 0.0762, 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: 0.163, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3671, scimark_benchmark: 1876.8796, usercpu_time_millis: 8.688, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 8.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 445.2634, mean_absolute_error: 0.111, 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: 0.2374, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4272, scimark_benchmark: 1851.2072, usercpu_time_millis: 1.604, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 1.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 349.0717, mean_absolute_error: 0.2086, 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: 0.4462, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5228, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.352, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9492, kappa: 0.8919, kb_relative_information_score: 456.384, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9499, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4108, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.35, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.0212, 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: 1872.8797, usercpu_time_millis: 0.881, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.928, kappa: 0.846, kb_relative_information_score: 453.416, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.928, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4661, scimark_benchmark: 1861.5089, usercpu_time_millis: 24.406, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 23.955,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 468.5993, mean_absolute_error: 0.0881, 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: 0.1883, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.405, scimark_benchmark: 1872.9496, usercpu_time_millis: 10.547, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 10.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 476.195, 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: 0.1831, root_relative_squared_error: 0.3786, scimark_benchmark: 1828.158, usercpu_time_millis: 5.308, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 4.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9221, kappa: 0.8324, kb_relative_information_score: 414.2042, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9227, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.466, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4838, kb_relative_information_score: -0.2982, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.402, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9509, kappa: 0.8953, kb_relative_information_score: 455.0108, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9513, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4134, scimark_benchmark: 1867.2698, usercpu_time_millis: 2.539, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 2.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 456.374, mean_absolute_error: 0.1, 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: 0.2138, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.417, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.331, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 3.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9287, kappa: 0.8461, kb_relative_information_score: 362.9351, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9314, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.5124, scimark_benchmark: 1847.1852, usercpu_time_millis: 0.425, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 424.2673, mean_absolute_error: 0.1343, 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: 0.2873, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4371, scimark_benchmark: 1843.0988, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9474, kappa: 0.8879, kb_relative_information_score: 450.1013, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4218, scimark_benchmark: 1866.6776, usercpu_time_millis: 2.343, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4838, kb_relative_information_score: 0.3686, 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: 1856.7467, usercpu_time_millis: 0.297, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9439, kappa: 0.8802, kb_relative_information_score: 406.932, mean_absolute_error: 0.1506, 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: 0.3221, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4591, scimark_benchmark: 1866.6776, usercpu_time_millis: 1.623, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 483.2816, mean_absolute_error: 0.0772, 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: 0.1651, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3631, scimark_benchmark: 1841.6234, usercpu_time_millis: 6.328, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 5.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 470.2794, mean_absolute_error: 0.0905, 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: 0.1936, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.372, scimark_benchmark: 1849.8236, usercpu_time_millis: 2.264, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 2.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.1193, 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: 1874.5882, usercpu_time_millis: 0.899, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 481.5049, mean_absolute_error: 0.0781, 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: 0.1669, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3718, scimark_benchmark: 1862.5409, usercpu_time_millis: 8.202, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 7.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 476.9711, mean_absolute_error: 0.0813, 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: 0.174, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3888, scimark_benchmark: 1859.8094, usercpu_time_millis: 10.861, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 10.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 439.6233, mean_absolute_error: 0.1159, 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: 0.2478, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.448, scimark_benchmark: 1870.0634, usercpu_time_millis: 4.509, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 4.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 439.2915, mean_absolute_error: 0.1152, 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: 0.2463, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4613, scimark_benchmark: 1847.8628, usercpu_time_millis: 6.329, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 6.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9456, kappa: 0.884, kb_relative_information_score: 455.8027, mean_absolute_error: 0.1006, 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: 0.2151, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4133, scimark_benchmark: 1867.6581, usercpu_time_millis: 2.982, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 2.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 461.9204, mean_absolute_error: 0.0965, 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: 0.2063, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3964, scimark_benchmark: 1868.2531, usercpu_time_millis: 4.406, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9543, kappa: 0.9025, kb_relative_information_score: 432.4846, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9544, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4161, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.483, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 485.512, mean_absolute_error: 0.0743, 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: 0.159, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3666, scimark_benchmark: 1857.2048, usercpu_time_millis: 10.776, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 10.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9335, kappa: 0.8585, kb_relative_information_score: 421.2909, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9344, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4533, scimark_benchmark: 1868.5063, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.512,

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

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From your own software

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

OpenML APIs