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: 0.9875, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 465.1476, mean_absolute_error: 0.0917, 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: 0.1962, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4079, scimark_benchmark: 1370.872, usercpu_time_millis: 11.934, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 11.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 477.3639, mean_absolute_error: 0.0823, 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: 0.1761, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3766, scimark_benchmark: 1374.5106, usercpu_time_millis: 3.825, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 3.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9349, kappa: 0.8608, kb_relative_information_score: 455.1193, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9349, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.45, scimark_benchmark: 1368.352, usercpu_time_millis: 6.505, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 6.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 474.7676, mean_absolute_error: 0.085, 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: 0.1818, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3782, scimark_benchmark: 1371.4862, usercpu_time_millis: 3.095, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 2.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9474, kappa: 0.8877, kb_relative_information_score: 458.1617, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9476, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4165, scimark_benchmark: 1366.8537, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 467.0259, mean_absolute_error: 0.0902, 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: 0.1929, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4028, scimark_benchmark: 1373.6706, usercpu_time_millis: 7.229, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 7.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4838, kb_relative_information_score: 0.2758, 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: 1372.5307, usercpu_time_millis: 0.407, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9421, kappa: 0.8765, kb_relative_information_score: 448.9165, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9424, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4332, scimark_benchmark: 1370.5909, usercpu_time_millis: 4.005, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 3.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 463.0464, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4007, scimark_benchmark: 1377.063, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9489, kappa: 0.8903, kb_relative_information_score: 457.6179, mean_absolute_error: 0.1002, 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: 0.2143, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4055, scimark_benchmark: 1372.0172, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 456.7709, mean_absolute_error: 0.1009, 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: 0.2159, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4066, scimark_benchmark: 1375.1327, usercpu_time_millis: 0.718, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9506, kappa: 0.8941, kb_relative_information_score: 457.9854, mean_absolute_error: 0.0998, 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: 0.2133, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4048, scimark_benchmark: 1375.0185, usercpu_time_millis: 2.584, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 2.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: 0.0116, 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: 1369.8786, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 484.0925, mean_absolute_error: 0.0739, 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: 0.1581, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3925, scimark_benchmark: 1361.7861, usercpu_time_millis: 22.906, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 22.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9487, kappa: 0.8898, kb_relative_information_score: 441.002, mean_absolute_error: 0.1172, 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: 0.2506, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4208, scimark_benchmark: 1375.9774, usercpu_time_millis: 1.3, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 463.861, mean_absolute_error: 0.093, 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: 0.1988, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4092, scimark_benchmark: 1375.4995, usercpu_time_millis: 8.18, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 7.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9471, kappa: 0.8866, kb_relative_information_score: 482.3329, mean_absolute_error: 0.0739, 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: 0.158, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4126, scimark_benchmark: 1362.7273, usercpu_time_millis: 12.041, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 11.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 443.4097, mean_absolute_error: 0.1123, 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: 0.2402, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4416, scimark_benchmark: 1364.9445, usercpu_time_millis: 3.65, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 3.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 454.0309, mean_absolute_error: 0.1026, 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: 0.2195, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4205, scimark_benchmark: 1364.343, usercpu_time_millis: 5.023, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 4.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 468.9229, mean_absolute_error: 0.0885, 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: 0.1894, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4001, scimark_benchmark: 1376.3536, usercpu_time_millis: 8.525, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 8.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 486.1877, mean_absolute_error: 0.0748, 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: 0.1599, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3598, scimark_benchmark: 1371.5346, usercpu_time_millis: 8.4, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 8.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 483.4816, mean_absolute_error: 0.0764, 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: 0.1633, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3739, scimark_benchmark: 1373.2702, usercpu_time_millis: 25.768, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 25.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9193, kappa: 0.8277, kb_relative_information_score: 434.3014, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9196, predictive_accuracy: 0.9192, prior_entropy: 0.953, recall: 0.9192, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.5081, scimark_benchmark: 1371.8025, usercpu_time_millis: 11.448, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 11.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 485.3401, mean_absolute_error: 0.0746, 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: 0.1596, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.371, scimark_benchmark: 1356.6142, usercpu_time_millis: 10.32, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 10.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.1563, 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: 1364.6176, usercpu_time_millis: 1.031, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 484.5208, mean_absolute_error: 0.076, 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: 0.1626, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3653, scimark_benchmark: 1371.9717, usercpu_time_millis: 1.354, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9506, kappa: 0.8941, kb_relative_information_score: 454.1427, mean_absolute_error: 0.1032, 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: 0.2207, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4109, scimark_benchmark: 1378.8197, usercpu_time_millis: 3.426, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 475.6459, mean_absolute_error: 0.084, 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: 0.1796, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3783, scimark_benchmark: 1380.2343, usercpu_time_millis: 4.873, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 4.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, 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: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1378.9755, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 481.8674, 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: 0.1691, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3602, scimark_benchmark: 1369.0437, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: -0.1769, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1372.6938, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 463.7098, mean_absolute_error: 0.0937, 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: 0.2003, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4027, scimark_benchmark: 1366.4623, usercpu_time_millis: 3.58, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 3.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.956, kappa: 0.9056, kb_relative_information_score: 475.5458, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3864, scimark_benchmark: 1365.021, usercpu_time_millis: 6.013, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 5.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 483.0423, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3615, scimark_benchmark: 1375.809, usercpu_time_millis: 4.565, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 4.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 479.4087, mean_absolute_error: 0.0811, 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: 0.1734, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3668, scimark_benchmark: 1368.0857, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.552,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9438, kappa: 0.8797, kb_relative_information_score: 461.1305, mean_absolute_error: 0.0944, 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: 0.2019, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4263, scimark_benchmark: 1818.7048, usercpu_time_millis: 8.652, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 8.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4838, kb_relative_information_score: -0.0338, 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: 1820.0136, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 479.5961, mean_absolute_error: 0.0807, 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: 0.1725, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3697, scimark_benchmark: 777.0251, usercpu_time_millis: 8.228, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 7.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 476.0036, mean_absolute_error: 0.0828, 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: 0.1771, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3879, scimark_benchmark: 1798.1862, usercpu_time_millis: 5.956, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 5.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 484.4179, mean_absolute_error: 0.0752, 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: 0.1608, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3751, scimark_benchmark: 777.6667, usercpu_time_millis: 24.07, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 23.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.937, kappa: 0.8657, kb_relative_information_score: 437.2549, mean_absolute_error: 0.1193, 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: 0.255, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4445, scimark_benchmark: 1794.7325, usercpu_time_millis: 3.458, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 3.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9648, kappa: 0.9245, kb_relative_information_score: 488.7409, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3597, scimark_benchmark: 776.7022, usercpu_time_millis: 20.578, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 20.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9165, kappa: 0.82, kb_relative_information_score: 404.0503, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9179, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4885, scimark_benchmark: 1772.2803, usercpu_time_millis: 3.171, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 2.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9256, kappa: 0.84, kb_relative_information_score: 415.0608, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9263, predictive_accuracy: 0.9262, prior_entropy: 0.953, recall: 0.9262, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4656, scimark_benchmark: 1786.7858, usercpu_time_millis: 1.048, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 464.7769, mean_absolute_error: 0.0942, 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: 0.2014, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3926, scimark_benchmark: 1800.3059, usercpu_time_millis: 0.75, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9234, kappa: 0.8347, kb_relative_information_score: 398.9538, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9258, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4906, scimark_benchmark: 1794.5122, usercpu_time_millis: 2.92, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 2.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9489, kappa: 0.8905, kb_relative_information_score: 462.1713, mean_absolute_error: 0.0958, 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: 0.2049, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4, scimark_benchmark: 775.0267, usercpu_time_millis: 4.909, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 4.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 425.504, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4446, scimark_benchmark: 778.5024, usercpu_time_millis: 2.807, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 2.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 480.955, 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: 0.1691, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3722, scimark_benchmark: 1797.1173, usercpu_time_millis: 8.47, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 8.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4838, kb_relative_information_score: 0.4602, mean_absolute_error: 0.4673, 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: 0.9992, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1748.5391, usercpu_time_millis: 0.428, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 470.7054, mean_absolute_error: 0.0889, 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: 0.1901, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3829, scimark_benchmark: 1450.5416, usercpu_time_millis: 4.258, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 3.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 486.7802, mean_absolute_error: 0.0711, 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: 0.152, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3942, scimark_benchmark: 1371.3391, usercpu_time_millis: 22.27, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 21.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 465.5647, 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: 0.1916, root_relative_squared_error: 0.3963, scimark_benchmark: 1432.212, usercpu_time_millis: 1.031, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9489, kappa: 0.8905, kb_relative_information_score: 458.8893, mean_absolute_error: 0.099, 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: 0.2116, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4037, scimark_benchmark: 1421.8084, usercpu_time_millis: 2.771, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 2.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 484.7536, mean_absolute_error: 0.0746, 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: 0.1595, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779, scimark_benchmark: 1375.7541, usercpu_time_millis: 13.306, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 13.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.963, kappa: 0.9208, kb_relative_information_score: 482.7997, mean_absolute_error: 0.0784, 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: 0.1677, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3588, scimark_benchmark: 1364.9558, usercpu_time_millis: 6.281, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 5.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9648, kappa: 0.9247, kb_relative_information_score: 491.3678, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3685, scimark_benchmark: 1381.6462, usercpu_time_millis: 14.381, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 14.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.278, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1375.3577, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: 0.0517, 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: 1374.5536, usercpu_time_millis: 0.707, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 486.6883, mean_absolute_error: 0.0744, 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: 0.1727, root_relative_squared_error: 0.3572, scimark_benchmark: 1375.6592, usercpu_time_millis: 8.621, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 8.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9367, kappa: 0.8647, kb_relative_information_score: 456.0659, mean_absolute_error: 0.096, 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: 0.2053, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4586, scimark_benchmark: 1372.4834, usercpu_time_millis: 13.552, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 13.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.949, kappa: 0.8907, kb_relative_information_score: 463.4145, mean_absolute_error: 0.0926, 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: 0.198, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4152, scimark_benchmark: 1379.2167, usercpu_time_millis: 1.531, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 479.9993, mean_absolute_error: 0.0795, 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: 0.1701, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3757, scimark_benchmark: 1371.1099, usercpu_time_millis: 0.501, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9524, kappa: 0.898, kb_relative_information_score: 464.9843, mean_absolute_error: 0.0913, 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: 0.1952, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4145, scimark_benchmark: 1377.6804, usercpu_time_millis: 3.512, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 3.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 472.1308, mean_absolute_error: 0.0877, 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: 0.1875, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.379, scimark_benchmark: 1378.0265, usercpu_time_millis: 3.279, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 2.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.4838, kb_relative_information_score: -0.1525, 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: 1.0001, scimark_benchmark: 1375.2168, usercpu_time_millis: 0.398, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 481.7854, mean_absolute_error: 0.0791, 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: 0.1692, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3631, scimark_benchmark: 1375.496, usercpu_time_millis: 5.163, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 4.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9507, kappa: 0.8943, kb_relative_information_score: 464.9034, mean_absolute_error: 0.0918, 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: 0.1962, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4102, scimark_benchmark: 1378.1678, usercpu_time_millis: 10.448, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 10.2,

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