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: 0.9902, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 478.6789, mean_absolute_error: 0.0805, 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: 0.1721, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3774, scimark_benchmark: 1810.2356, usercpu_time_millis: 12.675, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 11.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 482.81, mean_absolute_error: 0.0734, 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: 0.1569, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4072, scimark_benchmark: 1870.5216, usercpu_time_millis: 12.892, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 12.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 484.6748, mean_absolute_error: 0.0748, 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: 0.1601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3717, scimark_benchmark: 1849.2985, usercpu_time_millis: 12.168, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 11.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 489.6035, mean_absolute_error: 0.0708, 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: 0.1514, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3602, scimark_benchmark: 1868.2531, usercpu_time_millis: 7.165, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 6.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9403, kappa: 0.8724, kb_relative_information_score: 458.8907, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4406, scimark_benchmark: 1868.2531, usercpu_time_millis: 15.983, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 15.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 479.4249, 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: 0.1838, root_relative_squared_error: 0.3801, scimark_benchmark: 1871.9601, usercpu_time_millis: 7.368, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 7.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4838, kb_relative_information_score: -0.1227, 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: 1.0001, scimark_benchmark: 1865.1205, usercpu_time_millis: 0.395, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.189, 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: 1866.1679, usercpu_time_millis: 1.007, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9307, kappa: 0.8507, kb_relative_information_score: 383.9628, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9323, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4866, scimark_benchmark: 1866.6776, usercpu_time_millis: 1.504, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9439, kappa: 0.8802, kb_relative_information_score: 391.5412, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9441, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4763, scimark_benchmark: 1866.2865, usercpu_time_millis: 1.432, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 464.9589, mean_absolute_error: 0.0932, 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: 0.1994, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3933, scimark_benchmark: 1864.7909, usercpu_time_millis: 2.316, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.951, kappa: 0.8957, kb_relative_information_score: 445.1729, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9518, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4157, scimark_benchmark: 1853.0623, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 473.6494, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.19, root_relative_squared_error: 0.393, scimark_benchmark: 1866.2865, usercpu_time_millis: 3.352, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 3.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 466.2091, mean_absolute_error: 0.0934, 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: 0.1997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3856, scimark_benchmark: 1851.0585, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9526, kappa: 0.8988, kb_relative_information_score: 466.2415, mean_absolute_error: 0.0914, 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: 0.1954, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3957, scimark_benchmark: 1861.4419, usercpu_time_millis: 3.531, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 3.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.1056, 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: 1865.1205, usercpu_time_millis: 0.769, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 462.1978, mean_absolute_error: 0.0938, 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: 0.2005, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4154, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.793, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 3.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 468.5668, mean_absolute_error: 0.0883, 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: 0.1887, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4037, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 2.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 459.5839, mean_absolute_error: 0.0978, 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: 0.2091, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4044, scimark_benchmark: 1869.2942, usercpu_time_millis: 1.395, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9421, kappa: 0.8765, kb_relative_information_score: 479.5666, mean_absolute_error: 0.0754, 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: 0.1612, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4174, scimark_benchmark: 1860.9838, usercpu_time_millis: 25.059, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 24.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 478.1594, mean_absolute_error: 0.0799, 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: 0.1709, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3895, scimark_benchmark: 1867.1999, usercpu_time_millis: 13.74, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 13.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9422, kappa: 0.8768, kb_relative_information_score: 453.3539, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9427, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4182, scimark_benchmark: 1865.6428, usercpu_time_millis: 3.545, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 3.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 479.0022, mean_absolute_error: 0.0796, 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: 0.1703, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3827, scimark_benchmark: 1862.7806, usercpu_time_millis: 10.624, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 10.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9508, kappa: 0.8949, kb_relative_information_score: 462.7605, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4049, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.523, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 464.2448, mean_absolute_error: 0.0943, 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: 0.2016, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3958, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.665, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9276, kappa: 0.8445, kb_relative_information_score: 416.4914, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9278, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.461, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.602, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9097, kappa: 0.8042, kb_relative_information_score: 255.4574, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9189, predictive_accuracy: 0.9121, prior_entropy: 0.953, recall: 0.9121, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6562, scimark_benchmark: 1843.0988, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.0197, 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: 1867.1999, usercpu_time_millis: 0.766, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 481.3201, mean_absolute_error: 0.0782, 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: 0.1672, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.372, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 477.1206, mean_absolute_error: 0.0816, 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: 0.1744, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3801, scimark_benchmark: 1819.5359, usercpu_time_millis: 1.893, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 485.7702, mean_absolute_error: 0.0728, 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: 0.1557, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3807, scimark_benchmark: 1839.1096, usercpu_time_millis: 8.752, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 8.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9631, kappa: 0.9211, kb_relative_information_score: 472.4621, mean_absolute_error: 0.0878, 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: 0.1878, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3743, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.709, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 2.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 460.4012, mean_absolute_error: 0.0958, 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: 0.2048, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4108, scimark_benchmark: 1844.2382, usercpu_time_millis: 6.83, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 6.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 467.8278, mean_absolute_error: 0.0902, 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: 0.1929, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3909, scimark_benchmark: 1871.5019, usercpu_time_millis: 4.583, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 4.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 477.6957, mean_absolute_error: 0.0818, 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: 0.175, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3738, scimark_benchmark: 1870.0634, usercpu_time_millis: 6.627, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 6.13,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 452.9044, mean_absolute_error: 0.1025, 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: 0.2192, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4289, scimark_benchmark: 1866.8117, usercpu_time_millis: 4.001, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 3.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 484.6076, mean_absolute_error: 0.0754, 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: 0.1612, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3682, scimark_benchmark: 1865.8326, usercpu_time_millis: 2.657, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 2.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 477.2441, mean_absolute_error: 0.0813, 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: 0.1739, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3837, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.896, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: -0.5184, mean_absolute_error: 0.4678, 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: 1.0004, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1858.2326, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 405.2444, mean_absolute_error: 0.1533, 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: 0.3279, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4593, scimark_benchmark: 1863.6877, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 483.687, mean_absolute_error: 0.0762, 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: 0.163, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3692, scimark_benchmark: 1861.5089, usercpu_time_millis: 2.78, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 2.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 457.4235, mean_absolute_error: 0.0988, 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: 0.2113, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.414, scimark_benchmark: 1854.6878, usercpu_time_millis: 3.436, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 3.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: 0.3569, 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: 0.9993, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1863.066, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 459.3082, mean_absolute_error: 0.0975, 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: 0.2084, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4118, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.748, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 459.7894, mean_absolute_error: 0.0966, 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: 0.2065, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4099, scimark_benchmark: 1865.7643, usercpu_time_millis: 0.318, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9456, kappa: 0.884, kb_relative_information_score: 456.9473, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9459, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4125, scimark_benchmark: 1867.725, usercpu_time_millis: 1.146, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 458.4119, mean_absolute_error: 0.0998, 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: 0.2135, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4005, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.387, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.0736, 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: 1865.1205, usercpu_time_millis: 0.312, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9579, kappa: 0.9101, kb_relative_information_score: 441.6269, mean_absolute_error: 0.1195, 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: 0.2556, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4016, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.368, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9202, kappa: 0.828, kb_relative_information_score: 409.272, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9212, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4793, scimark_benchmark: 1861.1408, usercpu_time_millis: 1.218, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9439, kappa: 0.8804, kb_relative_information_score: 451.3518, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9443, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4161, scimark_benchmark: 1860.4615, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 466.3918, mean_absolute_error: 0.0907, 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: 0.194, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.3998, scimark_benchmark: 1860.0767, usercpu_time_millis: 6.498, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 5.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4838, kb_relative_information_score: 0.0414, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1868.7691, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9237, kappa: 0.8357, kb_relative_information_score: 411.3551, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9248, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4709, scimark_benchmark: 1873.0711, usercpu_time_millis: 3.289, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 2.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 457.3804, mean_absolute_error: 0.1012, 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: 0.2163, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4016, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.865, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 442.4596, mean_absolute_error: 0.1127, 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: 0.2411, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4435, scimark_benchmark: 1864.5074, usercpu_time_millis: 4.788, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 4.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 481.2134, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3793, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.797, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 5.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 463.0411, mean_absolute_error: 0.0927, 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: 0.1982, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4187, scimark_benchmark: 1870.3532, usercpu_time_millis: 10.125, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 9.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 480.0632, mean_absolute_error: 0.0792, 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: 0.1693, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3751, scimark_benchmark: 1868.2531, usercpu_time_millis: 6.667, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 6.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9317, kappa: 0.8547, kb_relative_information_score: 444.7924, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9325, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4695, scimark_benchmark: 1853.3248, usercpu_time_millis: 15.41, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 14.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 480.2807, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3775, scimark_benchmark: 1873.5293, usercpu_time_millis: 7.116, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 6.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 461.157, mean_absolute_error: 0.0949, 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: 0.203, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4154, scimark_benchmark: 1872.4881, usercpu_time_millis: 4.098, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 3.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9473, kappa: 0.8874, kb_relative_information_score: 463.5553, mean_absolute_error: 0.0923, 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: 0.1975, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4157, scimark_benchmark: 1872.4881, usercpu_time_millis: 11.107, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 10.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.4838, kb_relative_information_score: -0.1369, 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: 1871.5019, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 477.2287, mean_absolute_error: 0.0806, 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: 0.1724, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3935, scimark_benchmark: 1873.019, usercpu_time_millis: 14.748, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 14.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4838, kb_relative_information_score: -0.214, 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: 1870.3532, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9352, kappa: 0.8621, kb_relative_information_score: 438.2775, mean_absolute_error: 0.1174, 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: 0.2511, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4454, scimark_benchmark: 1841.7813, usercpu_time_millis: 3.498, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 3.332,

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