Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 145953 Supervised Classification kr-vs-kp 96152 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9405, kappa: 0.8806, kb_relative_information_score: 2681.3985, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9414, predictive_accuracy: 0.9406, prior_entropy: 0.9986, recall: 0.9406, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4242, scimark_benchmark: 1933.8255, usercpu_time_millis: 23.911, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 23.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9925, kappa: 0.985, kb_relative_information_score: 3109.411, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1665, scimark_benchmark: 1746.1701, usercpu_time_millis: 13.758, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 13.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9524, kappa: 0.9046, kb_relative_information_score: 2813.8437, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9986, recall: 0.9524, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.357, scimark_benchmark: 1754.6165, usercpu_time_millis: 16.804, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 16.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2881.8731, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3115, scimark_benchmark: 1745.3654, usercpu_time_millis: 23.303, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 23.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9653, kappa: 0.9305, kb_relative_information_score: 2854.069, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9656, predictive_accuracy: 0.9653, prior_entropy: 0.9986, recall: 0.9653, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3296, scimark_benchmark: 1749.8654, usercpu_time_millis: 14.383, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 14.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 3115.6139, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.1601, scimark_benchmark: 1747.5416, usercpu_time_millis: 25.956, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 25.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 3059.7751, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9986, recall: 0.9856, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2062, scimark_benchmark: 1868.3833, usercpu_time_millis: 15.695, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 15.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9662, kappa: 0.9324, kb_relative_information_score: 2846.6492, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9666, predictive_accuracy: 0.9662, prior_entropy: 0.9986, recall: 0.9662, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3341, scimark_benchmark: 1872.3546, usercpu_time_millis: 13.512, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 13.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2875.5747, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3179, scimark_benchmark: 1745.3654, usercpu_time_millis: 39.502, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 39.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9392, kappa: 0.8781, kb_relative_information_score: 2583.6198, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9403, predictive_accuracy: 0.9393, prior_entropy: 0.9986, recall: 0.9393, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4625, scimark_benchmark: 1855.6669, usercpu_time_millis: 22.713, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 22.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9662, kappa: 0.9324, kb_relative_information_score: 2851.3662, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9666, predictive_accuracy: 0.9662, prior_entropy: 0.9986, recall: 0.9662, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3312, scimark_benchmark: 1831.2382, usercpu_time_millis: 14.495, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 14.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2875.1826, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3152, scimark_benchmark: 1753.245, usercpu_time_millis: 33.895, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 33.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9214, kappa: 0.8426, kb_relative_information_score: 2571.5498, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9215, predictive_accuracy: 0.9215, prior_entropy: 0.9986, recall: 0.9215, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4844, scimark_benchmark: 1744.9079, usercpu_time_millis: 53.598, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 52.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9471, kappa: 0.8939, kb_relative_information_score: 2743.6502, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9475, predictive_accuracy: 0.9471, prior_entropy: 0.9986, recall: 0.9471, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.3983, scimark_benchmark: 1754.4555, usercpu_time_millis: 29.598, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 29.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2871.0537, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3198, scimark_benchmark: 1749.8654, usercpu_time_millis: 60.677, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 60.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3146.0399, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.1308, scimark_benchmark: 1752.106, usercpu_time_millis: 39.679, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 39.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8742, kappa: 0.748, kb_relative_information_score: 2124.8927, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8743, predictive_accuracy: 0.8742, prior_entropy: 0.9986, recall: 0.8742, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.299, root_relative_squared_error: 0.5987, scimark_benchmark: 1959.1277, usercpu_time_millis: 64.639, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 63.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3153.138, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1865.8853, usercpu_time_millis: 26.142, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 25.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9975, kappa: 0.995, kb_relative_information_score: 3150.425, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9986, recall: 0.9975, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.1092, scimark_benchmark: 1743.823, usercpu_time_millis: 13.169, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 12.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 2880.9845, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.9986, recall: 0.97, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3133, scimark_benchmark: 1749.0072, usercpu_time_millis: 22.253, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 22.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 3141.6007, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.114, scimark_benchmark: 1855.6317, usercpu_time_millis: 11.165, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 11.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 2877.1572, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, recall: 0.9709, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3127, scimark_benchmark: 1864.9656, usercpu_time_millis: 27.561, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 27.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2874.1434, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.319, scimark_benchmark: 1748.66, usercpu_time_millis: 47.303, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 47.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9646, kappa: 0.9291, kb_relative_information_score: 2892.8416, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.9986, recall: 0.9646, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3241, scimark_benchmark: 1846.8233, usercpu_time_millis: 17.903, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 17.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3148.5066, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.1197, scimark_benchmark: 1870.0988, usercpu_time_millis: 13.33, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 13.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9524, kappa: 0.9047, kb_relative_information_score: 2795.6148, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9986, recall: 0.9524, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3681, scimark_benchmark: 1876.2965, usercpu_time_millis: 15.615, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 15.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.8908, kappa: 0.7814, kb_relative_information_score: 2294.7245, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.891, predictive_accuracy: 0.8908, prior_entropy: 0.9986, recall: 0.8908, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5531, scimark_benchmark: 1748.66, usercpu_time_millis: 64.233, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 63.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9697, kappa: 0.9392, kb_relative_information_score: 2879.3038, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9698, predictive_accuracy: 0.9697, prior_entropy: 0.9986, recall: 0.9697, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3159, scimark_benchmark: 1753.6991, usercpu_time_millis: 16.429, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 16.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9534, kappa: 0.9065, kb_relative_information_score: 2784.6696, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9535, predictive_accuracy: 0.9534, prior_entropy: 0.9986, recall: 0.9534, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3801, scimark_benchmark: 1747.0307, usercpu_time_millis: 32.855, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 32.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: -0.0555, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1946.3762, usercpu_time_millis: 87.45, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 86.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9208, kappa: 0.8413, kb_relative_information_score: 2498.7418, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9208, predictive_accuracy: 0.9208, prior_entropy: 0.9986, recall: 0.9208, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.4983, scimark_benchmark: 1748.3028, usercpu_time_millis: 62.522, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 61.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2875.5208, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3175, scimark_benchmark: 1831.7939, usercpu_time_millis: 35.588, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 35.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8301, kappa: 0.6653, kb_relative_information_score: 1821.8296, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8495, predictive_accuracy: 0.8314, prior_entropy: 0.9986, recall: 0.8314, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7105, scimark_benchmark: 1750.7876, usercpu_time_millis: 80.482, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 79.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8545, kappa: 0.7086, kb_relative_information_score: 1967.3193, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8547, predictive_accuracy: 0.8545, prior_entropy: 0.9986, recall: 0.8545, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6381, scimark_benchmark: 1752.7851, usercpu_time_millis: 74.309, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 73.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9074, kappa: 0.8145, kb_relative_information_score: 2437.8918, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9075, predictive_accuracy: 0.9074, prior_entropy: 0.9986, recall: 0.9074, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5314, scimark_benchmark: 1996.5893, usercpu_time_millis: 40.313, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 39.647,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9024, kappa: 0.8044, kb_relative_information_score: 2384.7136, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9024, predictive_accuracy: 0.9024, prior_entropy: 0.9986, recall: 0.9024, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5306, scimark_benchmark: 1874.977, usercpu_time_millis: 60.146, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 59.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8271, kappa: 0.659, kb_relative_information_score: 1799.3668, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8453, predictive_accuracy: 0.8282, prior_entropy: 0.9986, recall: 0.8282, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7158, scimark_benchmark: 1870.0289, usercpu_time_millis: 76.15, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 75.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.853, kappa: 0.7056, kb_relative_information_score: 1950.1438, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8532, predictive_accuracy: 0.8529, prior_entropy: 0.9986, recall: 0.8529, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6431, scimark_benchmark: 1863.9794, usercpu_time_millis: 69.694, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 68.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3119.4163, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.1561, scimark_benchmark: 1995.3607, usercpu_time_millis: 13.817, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 13.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9496, kappa: 0.8989, kb_relative_information_score: 2760.2836, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9498, predictive_accuracy: 0.9496, prior_entropy: 0.9986, recall: 0.9496, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.3915, scimark_benchmark: 1897.0742, usercpu_time_millis: 33.172, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 32.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9456, kappa: 0.8912, kb_relative_information_score: 2635.7599, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9475, predictive_accuracy: 0.9456, prior_entropy: 0.9986, recall: 0.9456, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4407, scimark_benchmark: 1855.4335, usercpu_time_millis: 82.631, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 81.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8871, kappa: 0.7739, kb_relative_information_score: 2249.978, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8874, predictive_accuracy: 0.887, prior_entropy: 0.9986, recall: 0.887, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5683, scimark_benchmark: 1859.5431, usercpu_time_millis: 63.548, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 62.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9703, kappa: 0.9404, kb_relative_information_score: 2874.4552, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3146, scimark_benchmark: 1872.8797, usercpu_time_millis: 28.58, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 28.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9659, kappa: 0.9317, kb_relative_information_score: 2841.4228, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9662, predictive_accuracy: 0.9659, prior_entropy: 0.9986, recall: 0.9659, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3382, scimark_benchmark: 1815.8515, usercpu_time_millis: 13.835, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 13.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9756, kappa: 0.9511, kb_relative_information_score: 3000.1872, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9757, predictive_accuracy: 0.9756, prior_entropy: 0.9986, recall: 0.9756, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2558, scimark_benchmark: 1753.0329, usercpu_time_millis: 17.843, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 17.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9524, kappa: 0.9046, kb_relative_information_score: 2814.3235, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9986, recall: 0.9524, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3575, scimark_benchmark: 1866.9264, usercpu_time_millis: 15.387, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 15.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9662, kappa: 0.9324, kb_relative_information_score: 2857.0268, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9665, predictive_accuracy: 0.9662, prior_entropy: 0.9986, recall: 0.9662, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3282, scimark_benchmark: 1871.2001, usercpu_time_millis: 14.086, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 13.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9183, kappa: 0.8363, kb_relative_information_score: 2491.5945, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9184, predictive_accuracy: 0.9183, prior_entropy: 0.9986, recall: 0.9183, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.4892, scimark_benchmark: 1747.7473, usercpu_time_millis: 37.746, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 37.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8911, kappa: 0.7819, kb_relative_information_score: 2223.2587, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8913, predictive_accuracy: 0.8911, prior_entropy: 0.9986, recall: 0.8911, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5676, scimark_benchmark: 1752.0468, usercpu_time_millis: 72.262, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 71.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8802, kappa: 0.76, kb_relative_information_score: 2169.2742, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8803, predictive_accuracy: 0.8802, prior_entropy: 0.9986, recall: 0.8802, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5865, scimark_benchmark: 1872.9496, usercpu_time_millis: 65.14, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 64.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2581.2605, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.4646, scimark_benchmark: 1750.8515, usercpu_time_millis: 26.718, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 26.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9659, kappa: 0.9317, kb_relative_information_score: 2841.8814, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9662, predictive_accuracy: 0.9659, prior_entropy: 0.9986, recall: 0.9659, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3376, scimark_benchmark: 1951.0888, usercpu_time_millis: 12.838, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 12.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9684, kappa: 0.9367, kb_relative_information_score: 2869.521, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9686, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.323, scimark_benchmark: 1861.833, usercpu_time_millis: 14.083, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 13.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2874.5987, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3191, scimark_benchmark: 1835.6081, usercpu_time_millis: 39.963, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 39.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0181, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1863.87, usercpu_time_millis: 89.61, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 88.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9671, kappa: 0.9342, kb_relative_information_score: 2920.6068, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3089, scimark_benchmark: 1749.2121, usercpu_time_millis: 17.706, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 17.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9715, kappa: 0.943, kb_relative_information_score: 2884.0887, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 0.9986, recall: 0.9715, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3115, scimark_benchmark: 1852.7641, usercpu_time_millis: 24.491, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 24.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8633, kappa: 0.7295, kb_relative_information_score: 2112.395, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8777, predictive_accuracy: 0.8639, prior_entropy: 0.9986, recall: 0.8639, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6384, scimark_benchmark: 1865.7582, usercpu_time_millis: 73.712, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 72.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8036, kappa: 0.6159, kb_relative_information_score: 1727.9819, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8325, predictive_accuracy: 0.806, prior_entropy: 0.9986, recall: 0.806, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7423, scimark_benchmark: 1753.9957, usercpu_time_millis: 80.124, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 78.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.3583, kb_relative_information_score: -0.0864, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1738.2912, usercpu_time_millis: 90.037, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 88.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9715, kappa: 0.943, kb_relative_information_score: 2884.3512, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 0.9986, recall: 0.9715, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3115, scimark_benchmark: 1868.1832, usercpu_time_millis: 23.909, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 23.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9455, kappa: 0.8907, kb_relative_information_score: 2717.3655, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9459, predictive_accuracy: 0.9456, prior_entropy: 0.9986, recall: 0.9456, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4119, scimark_benchmark: 1755.8886, usercpu_time_millis: 40.568, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 39.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2871.7711, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9986, recall: 0.9712, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3195, scimark_benchmark: 1871.4349, usercpu_time_millis: 68.437, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 68.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9327, kappa: 0.865, kb_relative_information_score: 2631.1127, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.933, predictive_accuracy: 0.9327, prior_entropy: 0.9986, recall: 0.9327, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4506, scimark_benchmark: 1873.8757, usercpu_time_millis: 44.842, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 44.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9349, kappa: 0.8695, kb_relative_information_score: 2697.9374, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.935, predictive_accuracy: 0.9349, prior_entropy: 0.9986, recall: 0.9349, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4368, scimark_benchmark: 1886.0917, usercpu_time_millis: 51.691, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 50.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8328, kappa: 0.6691, kb_relative_information_score: 1817.0115, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8464, predictive_accuracy: 0.8335, prior_entropy: 0.9986, recall: 0.8335, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7035, scimark_benchmark: 1871.7905, usercpu_time_millis: 73.497, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 72.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9797, kappa: 0.9593, kb_relative_information_score: 2981.3391, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9986, recall: 0.9797, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2594, scimark_benchmark: 1874.8648, usercpu_time_millis: 13.687, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 13.502,

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