Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 145878 Supervised Classification wdbc 76354 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

76354 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 473.7065, mean_absolute_error: 0.0839, 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: 0.1794, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3934, scimark_benchmark: 1866.1582, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 462.1858, mean_absolute_error: 0.0942, 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: 0.2014, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4102, scimark_benchmark: 1862.4223, usercpu_time_millis: 5.031, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 4.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 460.8115, mean_absolute_error: 0.0948, 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: 0.2028, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4193, scimark_benchmark: 1830.8965, usercpu_time_millis: 5.498, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 5.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 384.9097, mean_absolute_error: 0.1731, 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: 0.3701, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4788, scimark_benchmark: 1838.174, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 464.8553, mean_absolute_error: 0.0948, 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: 0.2026, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3852, scimark_benchmark: 1863.066, usercpu_time_millis: 4, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 3.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 479.376, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3804, scimark_benchmark: 1856.9428, usercpu_time_millis: 10.13, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 9.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.2208, 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: 1865.5486, usercpu_time_millis: 0.771, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9474, kappa: 0.8877, kb_relative_information_score: 461.3375, mean_absolute_error: 0.0959, 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: 0.2051, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4029, scimark_benchmark: 1864.7294, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 483.0049, mean_absolute_error: 0.077, 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: 0.1647, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3665, scimark_benchmark: 1870.9768, usercpu_time_millis: 6.335, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 5.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.064, 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: 1863.9794, usercpu_time_millis: 1.222, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 483.6077, mean_absolute_error: 0.0774, 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: 0.1655, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3597, scimark_benchmark: 1842.5368, usercpu_time_millis: 6.208, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 5.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 480.6806, mean_absolute_error: 0.0784, 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: 0.1677, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3764, scimark_benchmark: 1860.4615, usercpu_time_millis: 1.927, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9406, kappa: 0.8736, kb_relative_information_score: 439.2657, mean_absolute_error: 0.1168, 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: 0.2497, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4373, scimark_benchmark: 1857.66, usercpu_time_millis: 3.614, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 3.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.913, kappa: 0.8124, kb_relative_information_score: 400.4358, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9143, predictive_accuracy: 0.9139, prior_entropy: 0.953, recall: 0.9139, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5026, scimark_benchmark: 1862.5409, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 470.7288, mean_absolute_error: 0.0877, 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: 0.1876, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.186, root_relative_squared_error: 0.3847, scimark_benchmark: 1873.5293, usercpu_time_millis: 0.544, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: 0.226, 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: 1871.5019, usercpu_time_millis: 1.166, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 480.2164, mean_absolute_error: 0.0783, 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: 0.1674, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3833, scimark_benchmark: 1868.7112, usercpu_time_millis: 6.335, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 6.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 471.0995, 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: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.401, scimark_benchmark: 1867.1999, usercpu_time_millis: 8.826, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 8.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 463.7048, mean_absolute_error: 0.0924, 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: 0.1977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4126, scimark_benchmark: 1872.9496, usercpu_time_millis: 12.015, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 11.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 462.7187, mean_absolute_error: 0.0946, 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: 0.2023, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4031, scimark_benchmark: 1863.2338, usercpu_time_millis: 6.404, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 5.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 450.9904, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4188, scimark_benchmark: 1868.3288, usercpu_time_millis: 2.428, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.922, kappa: 0.832, kb_relative_information_score: 407.0102, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9229, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4711, scimark_benchmark: 1855.3202, usercpu_time_millis: 0.923, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 478.6277, mean_absolute_error: 0.0811, 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: 0.1734, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3715, scimark_benchmark: 1863.5242, usercpu_time_millis: 1.756, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9268, kappa: 0.8418, kb_relative_information_score: 342.6866, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9304, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5361, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 479.3738, mean_absolute_error: 0.0802, 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: 0.1716, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3728, scimark_benchmark: 1858.8261, usercpu_time_millis: 7.703, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 7.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 469.4029, mean_absolute_error: 0.088, 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: 0.1882, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3959, scimark_benchmark: 1859.9421, usercpu_time_millis: 3.783, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 3.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 444.931, mean_absolute_error: 0.1101, 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: 0.2354, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4455, scimark_benchmark: 1867.2698, usercpu_time_millis: 1.694, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 469.7123, mean_absolute_error: 0.0885, 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: 0.1893, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3884, scimark_benchmark: 1859.7394, usercpu_time_millis: 5.305, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 4.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 478.2612, mean_absolute_error: 0.0796, 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: 0.1702, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.3903, scimark_benchmark: 1863.9124, usercpu_time_millis: 1.526, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 479.7783, mean_absolute_error: 0.079, 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: 0.1689, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3809, scimark_benchmark: 1870.5216, usercpu_time_millis: 6.741, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 6.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 463.3455, mean_absolute_error: 0.0933, 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: 0.1995, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4087, scimark_benchmark: 1865.8326, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9474, kappa: 0.8877, kb_relative_information_score: 456.3275, mean_absolute_error: 0.1006, 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: 0.2152, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4126, scimark_benchmark: 1863.4634, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 477.7371, 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: 0.1865, root_relative_squared_error: 0.3857, scimark_benchmark: 1848.3874, usercpu_time_millis: 7.17, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 6.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.4838, kb_relative_information_score: 0.0337, 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: 1866.8661, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9301, kappa: 0.8513, kb_relative_information_score: 441.957, mean_absolute_error: 0.1123, 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: 0.2401, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4579, scimark_benchmark: 1864.7294, usercpu_time_millis: 7.937, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 7.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 471.8926, mean_absolute_error: 0.0866, 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: 0.1853, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3837, scimark_benchmark: 1854.6195, usercpu_time_millis: 4.379, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 3.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 473.1592, mean_absolute_error: 0.0845, 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: 0.1807, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.3936, scimark_benchmark: 1869.7524, usercpu_time_millis: 9.9, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 9.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 477.296, mean_absolute_error: 0.0818, 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: 0.175, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3768, scimark_benchmark: 1874.0573, usercpu_time_millis: 2.639, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 459.6116, mean_absolute_error: 0.0963, 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: 0.206, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4173, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.595, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 464.1773, mean_absolute_error: 0.0916, 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: 0.1959, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4175, scimark_benchmark: 1861.3749, usercpu_time_millis: 8.247, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 8.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 463.6119, mean_absolute_error: 0.093, 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: 0.1989, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4059, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.306, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 2.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 473.2966, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973, scimark_benchmark: 1854.8662, usercpu_time_millis: 8.25, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 7.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 472.9533, mean_absolute_error: 0.0849, 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: 0.1815, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3917, scimark_benchmark: 1861.8338, usercpu_time_millis: 3.258, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 3.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 481.9476, mean_absolute_error: 0.0771, 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: 0.1648, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3767, scimark_benchmark: 1862.4223, usercpu_time_millis: 9.408, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 9.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 470.4977, mean_absolute_error: 0.0891, 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: 0.1905, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3794, scimark_benchmark: 1868.1832, usercpu_time_millis: 3.324, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 2.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: -0.0042, 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: 1.0001, scimark_benchmark: 1860.9197, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 487.6469, mean_absolute_error: 0.0729, 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: 0.156, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3586, scimark_benchmark: 1859.6912, usercpu_time_millis: 10.729, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 10.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 458.8433, mean_absolute_error: 0.0955, 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: 0.2042, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.438, scimark_benchmark: 1868.7691, usercpu_time_millis: 8.38, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 8.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 463.3358, mean_absolute_error: 0.093, 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: 0.1989, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4104, scimark_benchmark: 1980.4994, usercpu_time_millis: 2.737, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 2.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 463.0246, mean_absolute_error: 0.0925, 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: 0.1978, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4212, scimark_benchmark: 1862.0869, usercpu_time_millis: 13.938, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 13.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 463.5775, mean_absolute_error: 0.0922, 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: 0.1972, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.418, scimark_benchmark: 1865.7643, usercpu_time_millis: 10.91, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 10.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 482.2403, mean_absolute_error: 0.0775, 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: 0.1656, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3698, scimark_benchmark: 1864.2071, usercpu_time_millis: 10.044, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 9.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.928, kappa: 0.846, kb_relative_information_score: 452.9555, mean_absolute_error: 0.0967, 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: 0.2069, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4765, scimark_benchmark: 1872.4881, usercpu_time_millis: 21.927, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 21.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 482.1892, mean_absolute_error: 0.0773, 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: 0.1653, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3726, scimark_benchmark: 1860.9838, usercpu_time_millis: 6.377, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 6.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9316, kappa: 0.8541, kb_relative_information_score: 427.5607, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9319, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4485, scimark_benchmark: 1766.8351, usercpu_time_millis: 3.145, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 2.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 482.8343, mean_absolute_error: 0.0762, 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: 0.1629, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3807, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.849, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 472.6563, mean_absolute_error: 0.0852, 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: 0.1823, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.392, scimark_benchmark: 1862.5409, usercpu_time_millis: 8.361, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 7.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 480.6723, mean_absolute_error: 0.0782, 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: 0.1672, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3794, scimark_benchmark: 1860.2646, usercpu_time_millis: 5.27, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 5.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9404, kappa: 0.8727, kb_relative_information_score: 429.9509, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4512, scimark_benchmark: 1872.0908, usercpu_time_millis: 3.177, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 2.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4838, kb_relative_information_score: 0.1529, 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: 1872.4881, usercpu_time_millis: 1.158, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 470.8537, mean_absolute_error: 0.0868, 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: 0.1856, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.3964, scimark_benchmark: 1867.838, usercpu_time_millis: 10.951, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 10.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 457.3503, mean_absolute_error: 0.1002, 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: 0.2142, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4065, scimark_benchmark: 1873.5991, usercpu_time_millis: 0.291, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1501, 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: 1865.1205, usercpu_time_millis: 1.143, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9526, kappa: 0.8986, kb_relative_information_score: 471.4547, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3913, scimark_benchmark: 1867.1999, usercpu_time_millis: 4.854, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 4.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9543, kappa: 0.9025, kb_relative_information_score: 459.6737, mean_absolute_error: 0.0982, 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: 0.21, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4019, scimark_benchmark: 1136.1433, usercpu_time_millis: 2.626, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 2.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9386, kappa: 0.8691, kb_relative_information_score: 457.8196, 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: 0.2056, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4401, scimark_benchmark: 1860.9838, usercpu_time_millis: 13.689, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 13.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 474.9369, mean_absolute_error: 0.0836, 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: 0.1788, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3867, scimark_benchmark: 1863.066, usercpu_time_millis: 3.928, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 3.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9387, kappa: 0.8696, kb_relative_information_score: 449.022, mean_absolute_error: 0.1062, 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: 0.2271, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4379, scimark_benchmark: 1872.0299, usercpu_time_millis: 4.494, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 4.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 465.8784, mean_absolute_error: 0.0903, 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: 0.1932, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4111, scimark_benchmark: 1864.1459, usercpu_time_millis: 4.38, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 4.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 475.5516, mean_absolute_error: 0.082, 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: 0.1754, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3953, scimark_benchmark: 1865.2545, usercpu_time_millis: 14.706, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 14.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 472.4548, mean_absolute_error: 0.0854, 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: 0.1826, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3913, scimark_benchmark: 1864.7294, usercpu_time_millis: 3.828, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 3.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 465.0087, mean_absolute_error: 0.0925, 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: 0.1978, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3975, scimark_benchmark: 1869.7107, usercpu_time_millis: 5.372, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 4.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 467.3959, mean_absolute_error: 0.0905, 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: 0.1935, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3925, scimark_benchmark: 1864.9656, usercpu_time_millis: 5.072, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 4.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 471.6611, mean_absolute_error: 0.0864, 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: 0.1847, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3907, scimark_benchmark: 1827.1776, usercpu_time_millis: 7.108, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 6.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9283, kappa: 0.8478, kb_relative_information_score: 441.3474, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9298, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4628, scimark_benchmark: 1869.9448, usercpu_time_millis: 11.877, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 11.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.937, kappa: 0.866, kb_relative_information_score: 454.0504, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9379, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4286, scimark_benchmark: 1862.932, usercpu_time_millis: 4.939, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 4.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9301, kappa: 0.8513, kb_relative_information_score: 442.1895, mean_absolute_error: 0.1123, 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: 0.24, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4544, scimark_benchmark: 1863.6877, usercpu_time_millis: 5.543, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 5.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 480.9027, mean_absolute_error: 0.0779, 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: 0.1665, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.38, scimark_benchmark: 1868.2531, usercpu_time_millis: 13.053, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 12.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 471.2972, 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: 0.1841, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3967, scimark_benchmark: 1123.1642, usercpu_time_millis: 15.169, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 14.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 458.489, mean_absolute_error: 0.098, 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: 0.2096, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4139, scimark_benchmark: 1870.9768, usercpu_time_millis: 5.114, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 4.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 408.4659, mean_absolute_error: 0.1503, 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: 0.3215, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4533, scimark_benchmark: 1859.4881, usercpu_time_millis: 1.863, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9579, kappa: 0.9101, kb_relative_information_score: 460.3321, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9581, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4033, scimark_benchmark: 1869.2942, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4838, kb_relative_information_score: 0.2409, 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: 1865.2545, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 479.0075, mean_absolute_error: 0.0807, 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: 0.1725, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3721, scimark_benchmark: 1865.7643, usercpu_time_millis: 3.023, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 2.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 416.4941, mean_absolute_error: 0.1423, 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: 0.3043, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4439, scimark_benchmark: 1865.3103, usercpu_time_millis: 0.968, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1292, 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: 1865.6942, usercpu_time_millis: 0.565, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9301, kappa: 0.8513, kb_relative_information_score: 443.5173, 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: 0.2371, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4542, scimark_benchmark: 1860.9838, usercpu_time_millis: 6.435, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 6.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 467.74, mean_absolute_error: 0.0901, 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: 0.1927, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.3939, scimark_benchmark: 1848.7483, usercpu_time_millis: 5.174, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 4.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4838, kb_relative_information_score: -1.916, mean_absolute_error: 0.468, 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: 1.0009, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0004, scimark_benchmark: 1864.7294, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 476.7395, mean_absolute_error: 0.0814, 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: 0.1741, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3884, scimark_benchmark: 1870.9768, usercpu_time_millis: 16.641, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 16.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 453.8296, mean_absolute_error: 0.1041, 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: 0.2225, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4077, scimark_benchmark: 1861.4051, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 470.3284, mean_absolute_error: 0.087, 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: 0.186, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4011, scimark_benchmark: 1864.7294, usercpu_time_millis: 0.724, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9561, kappa: 0.9063, kb_relative_information_score: 469.5451, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3938, scimark_benchmark: 1867.6581, usercpu_time_millis: 1.62, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 465.3576, mean_absolute_error: 0.0914, 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: 0.1955, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4042, scimark_benchmark: 1846.3294, usercpu_time_millis: 5.489, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 5.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 463.2288, mean_absolute_error: 0.0924, 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: 0.1976, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4195, scimark_benchmark: 1844.0764, usercpu_time_millis: 5.723, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 5.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.932, kappa: 0.856, kb_relative_information_score: 419.9888, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9347, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4528, scimark_benchmark: 1860.7914, usercpu_time_millis: 2.076, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.1572, 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: 1837.2073, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9526, kappa: 0.8988, kb_relative_information_score: 463.1908, mean_absolute_error: 0.0949, 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: 0.2029, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3952, scimark_benchmark: 1850.8867, usercpu_time_millis: 0.923, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9544, kappa: 0.9026, kb_relative_information_score: 467.0263, mean_absolute_error: 0.0909, 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: 0.1944, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3932, scimark_benchmark: 1848.4497, usercpu_time_millis: 3.812, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 3.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 471.3904, mean_absolute_error: 0.0851, 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: 0.1819, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4075, scimark_benchmark: 1852.8712, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.191,

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