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: 0.9963, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 2717.8023, mean_absolute_error: 0.0868, 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: 0.1739, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3215, scimark_benchmark: 1371.8743, usercpu_time_millis: 3.309, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 3.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2397.0071, mean_absolute_error: 0.1442, 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: 0.2889, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4342, scimark_benchmark: 1371.8781, usercpu_time_millis: 9.398, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 8.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9389, kappa: 0.8774, kb_relative_information_score: 1279.0175, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9402, predictive_accuracy: 0.939, prior_entropy: 0.9986, recall: 0.939, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6972, scimark_benchmark: 1362.1988, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 680.8283, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8818, scimark_benchmark: 1367.4822, usercpu_time_millis: 11.646, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 10.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 2969.4162, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9986, recall: 0.9881, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2161, scimark_benchmark: 1373.7013, usercpu_time_millis: 12.778, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 12.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3583, kb_relative_information_score: 0.1607, 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: 1363.7351, usercpu_time_millis: 3.115, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 2.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2638.1116, mean_absolute_error: 0.0956, 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: 0.1915, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4087, scimark_benchmark: 1370.8167, usercpu_time_millis: 15.575, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 14.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9581, kappa: 0.9161, kb_relative_information_score: 2828.4181, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9587, predictive_accuracy: 0.9581, prior_entropy: 0.9986, recall: 0.9581, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3322, scimark_benchmark: 1369.4597, usercpu_time_millis: 25.061, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 23.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3126.1036, mean_absolute_error: 0.0125, 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: 0.0249, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.1363, scimark_benchmark: 1373.5115, usercpu_time_millis: 8.476, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 8.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3583, kb_relative_information_score: -0.0292, 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: 1364.3887, usercpu_time_millis: 4.648, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 3.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9712, kappa: 0.9423, kb_relative_information_score: 2582.5295, mean_absolute_error: 0.1144, 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: 0.2292, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3367, scimark_benchmark: 1372.9034, usercpu_time_millis: 6.093, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 5.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3095.7286, mean_absolute_error: 0.0187, 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: 0.0375, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.143, scimark_benchmark: 1369.8845, usercpu_time_millis: 25.432, usercpu_time_millis_testing: 1.565, usercpu_time_millis_training: 23.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9439, kappa: 0.8875, kb_relative_information_score: 1733.5356, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9449, predictive_accuracy: 0.944, prior_entropy: 0.9986, recall: 0.944, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.5751, scimark_benchmark: 1365.4455, usercpu_time_millis: 3.925, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 3.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3146.5034, mean_absolute_error: 0.0087, 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: 0.0174, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1184, scimark_benchmark: 1369.3501, usercpu_time_millis: 27.134, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 25.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3583, kb_relative_information_score: -0.2189, 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: 1372.5525, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3583, kb_relative_information_score: -0.0439, 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: 1369.5123, usercpu_time_millis: 3.711, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 3.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3124.5545, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.1385, scimark_benchmark: 1375.6053, usercpu_time_millis: 24.669, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 23.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2050.5376, mean_absolute_error: 0.2086, 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: 0.418, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5134, scimark_benchmark: 1372.5631, usercpu_time_millis: 1.545, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3048.8676, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1666, scimark_benchmark: 1369.4179, usercpu_time_millis: 17.834, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 16.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9439, kappa: 0.8875, kb_relative_information_score: 1675.1263, mean_absolute_error: 0.2722, 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: 0.5454, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.59, scimark_benchmark: 1369.1615, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9681, kappa: 0.9361, kb_relative_information_score: 2923.0897, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9986, recall: 0.9681, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.2899, scimark_benchmark: 1369.043, usercpu_time_millis: 8.516, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 8.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9872, kappa: 0.9743, kb_relative_information_score: 3010.1946, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9872, predictive_accuracy: 0.9872, prior_entropy: 0.9986, recall: 0.9872, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2142, scimark_benchmark: 1371.5831, usercpu_time_millis: 1.673, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2220.3086, mean_absolute_error: 0.1778, 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: 0.3564, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4684, scimark_benchmark: 1370.6682, usercpu_time_millis: 12.374, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 11.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 3163.2639, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1063, scimark_benchmark: 1363.4829, usercpu_time_millis: 15.174, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 14.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 2742.5343, mean_absolute_error: 0.0861, 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: 0.1726, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.2741, scimark_benchmark: 1371.1137, usercpu_time_millis: 23.056, usercpu_time_millis_testing: 2.075, usercpu_time_millis_training: 20.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: 0.0164, 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: 1376.546, usercpu_time_millis: 4.1, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 3.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9572, kappa: 0.9143, kb_relative_information_score: 2802.9306, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.958, predictive_accuracy: 0.9571, prior_entropy: 0.9986, recall: 0.9571, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3452, scimark_benchmark: 1368.374, usercpu_time_millis: 18.335, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 17.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3583, kb_relative_information_score: -0.0633, 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: 1358.8856, usercpu_time_millis: 2.972, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 2.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9819, kappa: 0.9636, kb_relative_information_score: 2745.0002, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 0.9986, recall: 0.9819, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.2846, scimark_benchmark: 1363.8965, usercpu_time_millis: 18.805, usercpu_time_millis_testing: 1.757, usercpu_time_millis_training: 17.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2684.9716, mean_absolute_error: 0.0858, 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: 0.172, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4015, scimark_benchmark: 1373.4831, usercpu_time_millis: 2.824, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 2.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9426, kappa: 0.885, kb_relative_information_score: 2139.0368, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9438, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.238, root_relative_squared_error: 0.4764, scimark_benchmark: 1372.9475, usercpu_time_millis: 2.867, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 2.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3063.1805, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.156, scimark_benchmark: 1366.2297, usercpu_time_millis: 22.617, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 20.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 3150.9807, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1088, scimark_benchmark: 1360.7623, usercpu_time_millis: 35.224, usercpu_time_millis_testing: 1.59, usercpu_time_millis_training: 33.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9113, kappa: 0.8223, kb_relative_information_score: 662.7173, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9168, predictive_accuracy: 0.9118, prior_entropy: 0.9986, recall: 0.9118, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8491, scimark_benchmark: 1366.9602, usercpu_time_millis: 3.902, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 3.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9527, kappa: 0.9051, kb_relative_information_score: 1180.6027, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9542, predictive_accuracy: 0.9528, prior_entropy: 0.9986, recall: 0.9528, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7194, scimark_benchmark: 1369.2851, usercpu_time_millis: 9.843, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 8.443,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.959, kappa: 0.9178, kb_relative_information_score: 2300.8578, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9591, predictive_accuracy: 0.959, prior_entropy: 0.9986, recall: 0.959, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4254, scimark_benchmark: 1362.3751, usercpu_time_millis: 13.821, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 12.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2503.8579, mean_absolute_error: 0.1233, 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: 0.2471, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.433, scimark_benchmark: 1370.1963, usercpu_time_millis: 2.29, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 2.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9433, kappa: 0.8863, kb_relative_information_score: 2086.2514, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9444, predictive_accuracy: 0.9434, prior_entropy: 0.9986, recall: 0.9434, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.4853, scimark_benchmark: 1366.0727, usercpu_time_millis: 15.14, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 13.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 2997.5258, mean_absolute_error: 0.0379, 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: 0.0759, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.1822, scimark_benchmark: 1365.9722, usercpu_time_millis: 19.862, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 18.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9809, kappa: 0.9617, kb_relative_information_score: 2956.4492, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.9986, recall: 0.9809, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2533, scimark_benchmark: 1371.3416, usercpu_time_millis: 2.401, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 2.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2567.435, mean_absolute_error: 0.111, 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: 0.2224, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.199, root_relative_squared_error: 0.3985, scimark_benchmark: 1373.5312, usercpu_time_millis: 12.416, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 11.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9524, kappa: 0.9046, kb_relative_information_score: 2502.8522, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9526, predictive_accuracy: 0.9524, prior_entropy: 0.9986, recall: 0.9524, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.3929, scimark_benchmark: 1371.3452, usercpu_time_millis: 0.858, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9862, kappa: 0.9724, kb_relative_information_score: 2900.49, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9986, recall: 0.9862, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.245, scimark_benchmark: 1380.9977, usercpu_time_millis: 2.715, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 2.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9154, kappa: 0.8306, kb_relative_information_score: 592.781, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9199, predictive_accuracy: 0.9158, prior_entropy: 0.9986, recall: 0.9158, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8655, scimark_benchmark: 1372.7221, usercpu_time_millis: 6.866, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 5.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 2714.9177, mean_absolute_error: 0.0856, 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: 0.1715, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3396, scimark_benchmark: 1373.2309, usercpu_time_millis: 12.798, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 12.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 3083.2732, mean_absolute_error: 0.0202, 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: 0.0404, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1693, scimark_benchmark: 1363.6639, usercpu_time_millis: 16.108, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 15.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9762, kappa: 0.9523, kb_relative_information_score: 2735.9801, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9986, recall: 0.9762, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.148, root_relative_squared_error: 0.2964, scimark_benchmark: 1372.7237, usercpu_time_millis: 8.763, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 8.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3123.8854, mean_absolute_error: 0.0132, 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: 0.0264, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.063, root_relative_squared_error: 0.1262, scimark_benchmark: 1371.5797, usercpu_time_millis: 24.947, usercpu_time_millis_testing: 1.633, usercpu_time_millis_training: 23.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.985, kappa: 0.9699, kb_relative_information_score: 2917.836, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9986, recall: 0.985, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2455, scimark_benchmark: 1374.1597, usercpu_time_millis: 15.89, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 14.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 1451.5289, mean_absolute_error: 0.3075, 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: 0.6161, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6545, scimark_benchmark: 1374.4366, usercpu_time_millis: 6.726, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 6.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 3097.7029, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1571, scimark_benchmark: 1361.2137, usercpu_time_millis: 23.603, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 22.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9672, kappa: 0.9342, kb_relative_information_score: 2789.1216, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.334, scimark_benchmark: 1361.1015, usercpu_time_millis: 7.129, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 6.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3136.0854, mean_absolute_error: 0.0108, 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: 0.0217, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1186, scimark_benchmark: 1375.3072, usercpu_time_millis: 31.521, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 29.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 3072.2129, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.17, scimark_benchmark: 1373.4499, usercpu_time_millis: 30.808, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 29.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3106.0871, mean_absolute_error: 0.0163, 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: 0.0327, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1433, scimark_benchmark: 1372.4986, usercpu_time_millis: 28.161, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 26.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 3167.1909, mean_absolute_error: 0.0048, 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: 0.0096, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1057, scimark_benchmark: 1372.391, usercpu_time_millis: 22.172, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 21.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9564, kappa: 0.9126, kb_relative_information_score: 1257.7444, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9577, predictive_accuracy: 0.9565, prior_entropy: 0.9986, recall: 0.9565, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6995, scimark_benchmark: 1374.193, usercpu_time_millis: 17.234, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 15.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3015.5942, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1783, scimark_benchmark: 1374.9471, usercpu_time_millis: 9.764, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 9.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9402, kappa: 0.88, kb_relative_information_score: 1105.8241, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9409, predictive_accuracy: 0.9402, prior_entropy: 0.9986, recall: 0.9402, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7384, scimark_benchmark: 1372.7049, usercpu_time_millis: 8.231, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 7.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9703, kappa: 0.9404, kb_relative_information_score: 2942.3505, mean_absolute_error: 0.0428, 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: 0.0858, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.273, scimark_benchmark: 1375.5162, usercpu_time_millis: 1.834, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9897, kappa: 0.9793, kb_relative_information_score: 3021.9594, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9986, recall: 0.9897, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2044, scimark_benchmark: 1417.4583, usercpu_time_millis: 18.539, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 17.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8099, kappa: 0.6256, kb_relative_information_score: 345.205, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8466, predictive_accuracy: 0.8157, prior_entropy: 0.9986, recall: 0.8157, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.461, root_relative_squared_error: 0.923, scimark_benchmark: 1411.1664, usercpu_time_millis: 2.043, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 3001.7666, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9986, recall: 0.984, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.22, scimark_benchmark: 1406.1942, usercpu_time_millis: 7.594, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 7.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9401, kappa: 0.8799, kb_relative_information_score: 1311.8135, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9415, predictive_accuracy: 0.9402, prior_entropy: 0.9986, recall: 0.9402, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6882, scimark_benchmark: 1380.016, usercpu_time_millis: 9.035, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 8.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9578, kappa: 0.9155, kb_relative_information_score: 2765.4724, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9584, predictive_accuracy: 0.9578, prior_entropy: 0.9986, recall: 0.9578, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.363, scimark_benchmark: 1373.5049, usercpu_time_millis: 20.957, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 20.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.97, kappa: 0.9398, kb_relative_information_score: 2764.0885, mean_absolute_error: 0.0771, 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: 0.1546, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3173, scimark_benchmark: 1340.1992, usercpu_time_millis: 13.472, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 12.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3136.7951, mean_absolute_error: 0.0107, 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: 0.0214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1215, scimark_benchmark: 1374.8025, usercpu_time_millis: 28.364, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 26.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9837, kappa: 0.9674, kb_relative_information_score: 2803.8688, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 0.9986, recall: 0.9837, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2664, scimark_benchmark: 1375.2094, usercpu_time_millis: 7.009, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 6.387,

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