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: 0.5006, f_measure: 0.3583, kb_relative_information_score: 0.0407, 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: 1872.0299, usercpu_time_millis: 2.085, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9452, kappa: 0.8901, kb_relative_information_score: 1532.4939, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9458, predictive_accuracy: 0.9452, prior_entropy: 0.9986, recall: 0.9452, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6264, scimark_benchmark: 1850.4932, usercpu_time_millis: 3.106, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 2.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8741, kappa: 0.7489, kb_relative_information_score: 516.9, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8892, predictive_accuracy: 0.8758, prior_entropy: 0.9986, recall: 0.8758, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.883, scimark_benchmark: 1872.8797, usercpu_time_millis: 4.472, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 3.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3583, kb_relative_information_score: -0.0883, 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: 1871.3742, usercpu_time_millis: 1.765, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3122.5308, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.1288, scimark_benchmark: 1787.8041, usercpu_time_millis: 9.661, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 9.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.943, kappa: 0.8856, kb_relative_information_score: 1836.6068, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9441, predictive_accuracy: 0.9431, prior_entropy: 0.9986, recall: 0.9431, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5489, scimark_benchmark: 1910.842, usercpu_time_millis: 6.656, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 6.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 2281.1965, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 0.9986, recall: 0.9778, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.41, scimark_benchmark: 1876.6882, usercpu_time_millis: 11.707, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 10.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 3050.2701, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.1869, scimark_benchmark: 1857.9467, usercpu_time_millis: 2.524, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 3030.8081, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2, scimark_benchmark: 1873.9908, usercpu_time_millis: 7.846, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 7.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 2802.8449, mean_absolute_error: 0.0709, 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: 0.1421, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.2932, scimark_benchmark: 1872.4881, usercpu_time_millis: 9.186, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 8.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.958, kappa: 0.9158, kb_relative_information_score: 1317.0238, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9594, predictive_accuracy: 0.9581, prior_entropy: 0.9986, recall: 0.9581, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6837, scimark_benchmark: 1874.7852, usercpu_time_millis: 3.291, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 3.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3126.2409, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.1293, scimark_benchmark: 1871.4349, usercpu_time_millis: 16.022, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 14.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3086.8883, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1494, scimark_benchmark: 1870.0005, usercpu_time_millis: 24.824, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 23.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9426, kappa: 0.885, kb_relative_information_score: 2641.5333, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9437, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3783, scimark_benchmark: 1990.175, usercpu_time_millis: 3.159, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 3.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9609, kappa: 0.9216, kb_relative_information_score: 2636.7723, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.9986, recall: 0.9609, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.368, scimark_benchmark: 1849.6404, usercpu_time_millis: 2.953, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9438, kappa: 0.8874, kb_relative_information_score: 1017.9034, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9461, predictive_accuracy: 0.944, prior_entropy: 0.9986, recall: 0.944, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7611, scimark_benchmark: 1872.5609, usercpu_time_millis: 4.558, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 3.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3099.5425, mean_absolute_error: 0.0177, 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: 0.0354, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.1505, scimark_benchmark: 1851.5125, usercpu_time_millis: 29.446, usercpu_time_millis_testing: 2.264, usercpu_time_millis_training: 27.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: 0.0204, 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: 1873.9908, usercpu_time_millis: 1.906, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9721, kappa: 0.9441, kb_relative_information_score: 2162.1697, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 0.9986, recall: 0.9722, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4473, scimark_benchmark: 1851.5125, usercpu_time_millis: 9.158, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 8.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9414, kappa: 0.8825, kb_relative_information_score: 1414.7926, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9427, predictive_accuracy: 0.9415, prior_entropy: 0.9986, recall: 0.9415, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6607, scimark_benchmark: 1872.4216, usercpu_time_millis: 8.906, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 7.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 3000.6349, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1942, scimark_benchmark: 1874.1301, usercpu_time_millis: 18.904, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 17.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3119.5377, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.1314, scimark_benchmark: 1855.1969, usercpu_time_millis: 21.589, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 20.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3138.6388, mean_absolute_error: 0.0101, 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: 0.0202, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227, scimark_benchmark: 1829.6566, usercpu_time_millis: 19.794, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 18.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9067, kappa: 0.8133, kb_relative_information_score: 508.0595, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9137, predictive_accuracy: 0.9074, prior_entropy: 0.9986, recall: 0.9074, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.8857, scimark_benchmark: 1876.23, usercpu_time_millis: 6, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 5.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2605.8469, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4068, scimark_benchmark: 1863.9124, usercpu_time_millis: 5.663, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 5.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9417, kappa: 0.8831, kb_relative_information_score: 2061.7901, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.943, predictive_accuracy: 0.9418, prior_entropy: 0.9986, recall: 0.9418, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.497, scimark_benchmark: 1823.7981, usercpu_time_millis: 3.604, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 3.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9386, kappa: 0.8769, kb_relative_information_score: 891.5826, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7926, scimark_benchmark: 1909.1973, usercpu_time_millis: 6.076, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 5.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9665, kappa: 0.9329, kb_relative_information_score: 2564.1985, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.9986, recall: 0.9665, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3607, scimark_benchmark: 1824.2358, usercpu_time_millis: 6.554, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 5.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 2966.9894, mean_absolute_error: 0.0435, 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: 0.0871, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.197, scimark_benchmark: 1787.8623, usercpu_time_millis: 13.452, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 12.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.969, kappa: 0.9379, kb_relative_information_score: 2866.0396, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9986, recall: 0.969, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.2845, scimark_benchmark: 1730.046, usercpu_time_millis: 25.467, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 23.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9411, kappa: 0.8819, kb_relative_information_score: 1135.8402, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9419, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7307, scimark_benchmark: 1862.478, usercpu_time_millis: 5.659, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 5.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 3020.5363, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.1915, scimark_benchmark: 1761.1367, usercpu_time_millis: 7.227, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 6.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9508, kappa: 0.9014, kb_relative_information_score: 2322.4524, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9513, predictive_accuracy: 0.9509, prior_entropy: 0.9986, recall: 0.9509, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4254, scimark_benchmark: 1876.6882, usercpu_time_millis: 12.348, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 11.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 2241.8702, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5517, scimark_benchmark: 1077.5134, usercpu_time_millis: 9.62, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 8.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.965, kappa: 0.9298, kb_relative_information_score: 2849.0632, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 0.9986, recall: 0.965, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3145, scimark_benchmark: 1760.1493, usercpu_time_millis: 22.808, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 21.743,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 2564.711, mean_absolute_error: 0.1157, 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: 0.2318, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3608, scimark_benchmark: 1768.9303, usercpu_time_millis: 7.601, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 7.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9373, kappa: 0.8743, kb_relative_information_score: 1043.3587, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9385, predictive_accuracy: 0.9374, prior_entropy: 0.9986, recall: 0.9374, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7554, scimark_benchmark: 1765.0905, usercpu_time_millis: 7.789, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 6.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9662, kappa: 0.9323, kb_relative_information_score: 2792.6652, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9664, predictive_accuracy: 0.9662, prior_entropy: 0.9986, recall: 0.9662, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3252, scimark_benchmark: 2152.3998, usercpu_time_millis: 17.075, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 15.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9781, kappa: 0.9561, kb_relative_information_score: 2450.2147, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9986, recall: 0.9781, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.361, scimark_benchmark: 1869.0217, usercpu_time_millis: 17.01, usercpu_time_millis_testing: 2.024, usercpu_time_millis_training: 14.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 2761.6009, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.959, predictive_accuracy: 0.9584, prior_entropy: 0.9986, recall: 0.9584, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.364, scimark_benchmark: 2029.0876, usercpu_time_millis: 26.417, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 25.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.7384, kappa: 0.4983, kb_relative_information_score: 203.8129, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8176, predictive_accuracy: 0.7547, prior_entropy: 0.9986, recall: 0.7547, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.477, root_relative_squared_error: 0.955, scimark_benchmark: 1716.9359, usercpu_time_millis: 4.741, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 4.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: -0.1271, 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: 1772.3297, usercpu_time_millis: 0.877, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: -0.86, mean_absolute_error: 0.4991, 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: 1.0002, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0001, scimark_benchmark: 1756.3533, usercpu_time_millis: 1.633, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3583, kb_relative_information_score: -0.0553, 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: 1758.8259, usercpu_time_millis: 2.835, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 2.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.963, kappa: 0.9258, kb_relative_information_score: 1361.2771, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9642, predictive_accuracy: 0.9631, prior_entropy: 0.9986, recall: 0.9631, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6721, scimark_benchmark: 1768.9303, usercpu_time_millis: 3.345, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 2.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9467, kappa: 0.8932, kb_relative_information_score: 2388.6585, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9474, predictive_accuracy: 0.9468, prior_entropy: 0.9986, recall: 0.9468, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.415, scimark_benchmark: 1727.293, usercpu_time_millis: 7.202, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 6.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9787, kappa: 0.9573, kb_relative_information_score: 2966.3848, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 0.9986, recall: 0.9787, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.2576, scimark_benchmark: 1865.2449, usercpu_time_millis: 9.772, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 9.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9784, kappa: 0.9567, kb_relative_information_score: 2598.7053, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3243, scimark_benchmark: 1768.5846, usercpu_time_millis: 11.651, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 10.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 969.1367, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7819, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.87, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3114.8949, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1344, scimark_benchmark: 1871.273, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9439, kappa: 0.8875, kb_relative_information_score: 1957.4258, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9448, predictive_accuracy: 0.944, prior_entropy: 0.9986, recall: 0.944, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5187, scimark_benchmark: 1855.7733, usercpu_time_millis: 0.632, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3583, kb_relative_information_score: -0.0141, 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: 1863.4543, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2078.8368, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9421, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4936, scimark_benchmark: 1874.7211, usercpu_time_millis: 2.301, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 2.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7552, kappa: 0.5093, kb_relative_information_score: 854.6254, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7565, predictive_accuracy: 0.7559, prior_entropy: 0.9986, recall: 0.7559, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8336, scimark_benchmark: 1873.0041, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 1921.976, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5377, scimark_benchmark: 1863.6877, usercpu_time_millis: 1.603, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3583, kb_relative_information_score: 0.0329, 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: 1864.6665, usercpu_time_millis: 3.8, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 3.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3583, kb_relative_information_score: -0.0009, 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: 1747.0296, usercpu_time_millis: 1.329, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: -0.0158, 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: 1986.6524, usercpu_time_millis: 3.656, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 3.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9759, kappa: 0.9518, kb_relative_information_score: 2912.1421, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9986, recall: 0.9759, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2678, scimark_benchmark: 1862.4126, usercpu_time_millis: 6.232, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 5.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: -0.1407, 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: 1262.1748, usercpu_time_millis: 2.347, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3126.6269, mean_absolute_error: 0.0124, 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: 0.0249, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1297, scimark_benchmark: 1872.3546, usercpu_time_millis: 2.769, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2695.4924, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3774, scimark_benchmark: 1754.0998, usercpu_time_millis: 2.298, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9518, kappa: 0.9033, kb_relative_information_score: 2359.3029, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9522, predictive_accuracy: 0.9518, prior_entropy: 0.9986, recall: 0.9518, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.418, scimark_benchmark: 1785.3777, usercpu_time_millis: 2.457, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 2.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9828, kappa: 0.9655, kb_relative_information_score: 2577.7106, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 0.9986, recall: 0.9828, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3202, scimark_benchmark: 1992.7025, usercpu_time_millis: 5.357, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 5.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9847, kappa: 0.9693, kb_relative_information_score: 2675.9025, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9986, recall: 0.9847, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2911, scimark_benchmark: 1877.2162, usercpu_time_millis: 32.288, usercpu_time_millis_testing: 3.125, usercpu_time_millis_training: 29.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9612, kappa: 0.9223, kb_relative_information_score: 2589.9266, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9612, predictive_accuracy: 0.9612, prior_entropy: 0.9986, recall: 0.9612, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3702, scimark_benchmark: 1755.0788, usercpu_time_millis: 2.109, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1368.6331, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.704, scimark_benchmark: 1871.2001, usercpu_time_millis: 3.574, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 3.186,

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