OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9601, kappa: 0.9022, kb_relative_information_score: 28594.0359, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3889, scimark_benchmark: 1368.5264, usercpu_time_millis: 3556.504, usercpu_time_millis_testing: 19.181, usercpu_time_millis_training: 3537.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9695, kappa: 0.9251, kb_relative_information_score: 30057.1117, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.863, recall: 0.9695, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3399, scimark_benchmark: 1369.3058, usercpu_time_millis: 4335.013, usercpu_time_millis_testing: 24.931, usercpu_time_millis_training: 4310.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9603, kappa: 0.9027, kb_relative_information_score: 28825.7115, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3878, scimark_benchmark: 1368.9106, usercpu_time_millis: 1636.671, usercpu_time_millis_testing: 4.285, usercpu_time_millis_training: 1632.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9641, kappa: 0.9119, kb_relative_information_score: 29361.0264, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.369, scimark_benchmark: 755.9478, usercpu_time_millis: 5306.937, usercpu_time_millis_testing: 15.138, usercpu_time_millis_training: 5291.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9474, kappa: 0.8709, kb_relative_information_score: 26994.1655, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4444, scimark_benchmark: 1370.6839, usercpu_time_millis: 2118.538, usercpu_time_millis_testing: 7.69, usercpu_time_millis_training: 2110.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9617, kappa: 0.9054, kb_relative_information_score: 26501.946, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4069, scimark_benchmark: 1367.0457, usercpu_time_millis: 751.79, usercpu_time_millis_testing: 30.871, usercpu_time_millis_training: 720.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8655, kappa: 0.6705, kb_relative_information_score: 16513.3384, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8656, predictive_accuracy: 0.8655, prior_entropy: 0.863, recall: 0.8655, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6829, scimark_benchmark: 1366.2038, usercpu_time_millis: 318.322, usercpu_time_millis_testing: 9.274, usercpu_time_millis_training: 309.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 29840.6004, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3446, scimark_benchmark: 1369.915, usercpu_time_millis: 3706.189, usercpu_time_millis_testing: 21.123, usercpu_time_millis_training: 3685.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9518, kappa: 0.8818, kb_relative_information_score: 27471.6592, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4302, scimark_benchmark: 1366.8428, usercpu_time_millis: 6441.328, usercpu_time_millis_testing: 20.18, usercpu_time_millis_training: 6421.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9555, kappa: 0.891, kb_relative_information_score: 27852.8387, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4129, scimark_benchmark: 1368.7537, usercpu_time_millis: 1745.726, usercpu_time_millis_testing: 11.707, usercpu_time_millis_training: 1734.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.1549, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1370.0424, usercpu_time_millis: 45.637, usercpu_time_millis_testing: 4.917, usercpu_time_millis_training: 40.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9664, kappa: 0.9174, kb_relative_information_score: 29502.4136, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.36, scimark_benchmark: 1367.3686, usercpu_time_millis: 6581.093, usercpu_time_millis_testing: 17.524, usercpu_time_millis_training: 6563.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -4.5435, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1368.0908, usercpu_time_millis: 66.499, usercpu_time_millis_testing: 8.126, usercpu_time_millis_training: 58.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9557, kappa: 0.8913, kb_relative_information_score: 28258.7685, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.409, scimark_benchmark: 1779.2651, usercpu_time_millis: 3059.754, usercpu_time_millis_testing: 6.629, usercpu_time_millis_training: 3053.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.95, kappa: 0.8766, kb_relative_information_score: 25725.5435, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.449, scimark_benchmark: 1370.6688, usercpu_time_millis: 8.464, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 7.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.8833, kb_relative_information_score: 27640.9199, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426, scimark_benchmark: 1370.577, usercpu_time_millis: 156.737, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 156.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9695, kappa: 0.9252, kb_relative_information_score: 29844.7486, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3402, scimark_benchmark: 1368.5949, usercpu_time_millis: 2051.974, usercpu_time_millis_testing: 22.769, usercpu_time_millis_training: 2029.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9626, kappa: 0.9084, kb_relative_information_score: 29273.8163, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.377, scimark_benchmark: 1372.8394, usercpu_time_millis: 739.459, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 738.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8665, kappa: 0.676, kb_relative_information_score: 17404.9343, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8683, predictive_accuracy: 0.8653, prior_entropy: 0.863, recall: 0.8653, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6851, scimark_benchmark: 1369.6623, usercpu_time_millis: 243.069, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 241.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9347, kappa: 0.838, kb_relative_information_score: 25380.0127, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4916, scimark_benchmark: 1368.9959, usercpu_time_millis: 1476.957, usercpu_time_millis_testing: 5.728, usercpu_time_millis_training: 1471.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9221, kappa: 0.8049, kb_relative_information_score: 24722.7663, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5125, scimark_benchmark: 1370.5321, usercpu_time_millis: 3723.242, usercpu_time_millis_testing: 12.14, usercpu_time_millis_training: 3711.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9428, kappa: 0.8589, kb_relative_information_score: 26201.5747, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4601, scimark_benchmark: 1366.8361, usercpu_time_millis: 1374.259, usercpu_time_millis_testing: 14.92, usercpu_time_millis_training: 1359.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9553, kappa: 0.8904, kb_relative_information_score: 28075.9533, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.186, root_relative_squared_error: 0.4118, scimark_benchmark: 1823.5058, usercpu_time_millis: 2054.024, usercpu_time_millis_testing: 6.552, usercpu_time_millis_training: 2047.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9703, kappa: 0.9271, kb_relative_information_score: 30315.8861, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.863, recall: 0.9703, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3402, scimark_benchmark: 1372.6364, usercpu_time_millis: 4892.852, usercpu_time_millis_testing: 12.963, usercpu_time_millis_training: 4879.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8645, kappa: 0.6722, kb_relative_information_score: 17376.3442, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8671, predictive_accuracy: 0.863, prior_entropy: 0.863, recall: 0.863, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6874, scimark_benchmark: 1809.138, usercpu_time_millis: 1896.5, usercpu_time_millis_testing: 11.018, usercpu_time_millis_training: 1885.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28742.4203, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3811, scimark_benchmark: 761.9138, usercpu_time_millis: 1389.252, usercpu_time_millis_testing: 22.798, usercpu_time_millis_training: 1366.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9555, kappa: 0.8908, kb_relative_information_score: 28112.1028, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4111, scimark_benchmark: 1846.6495, usercpu_time_millis: 1541.003, usercpu_time_millis_testing: 4.779, usercpu_time_millis_training: 1536.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9581, kappa: 0.8972, kb_relative_information_score: 28052.1946, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4018, scimark_benchmark: 774.79, usercpu_time_millis: 1379.561, usercpu_time_millis_testing: 23.934, usercpu_time_millis_training: 1355.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9588, kappa: 0.8989, kb_relative_information_score: 28562.9728, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3961, scimark_benchmark: 1753.5885, usercpu_time_millis: 1253.749, usercpu_time_millis_testing: 4.714, usercpu_time_millis_training: 1249.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9142, kappa: 0.7843, kb_relative_information_score: 24019.7423, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9186, predictive_accuracy: 0.917, prior_entropy: 0.863, recall: 0.917, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5324, scimark_benchmark: 1758.2007, usercpu_time_millis: 1197.025, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 1192.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9205, kappa: 0.8005, kb_relative_information_score: 24673.8088, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9246, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5116, scimark_benchmark: 1799.1293, usercpu_time_millis: 1149.57, usercpu_time_millis_testing: 8.783, usercpu_time_millis_training: 1140.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8631, kappa: 0.6691, kb_relative_information_score: 17371.8608, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8659, predictive_accuracy: 0.8615, prior_entropy: 0.863, recall: 0.8615, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.69, scimark_benchmark: 1369.1853, usercpu_time_millis: 2837.027, usercpu_time_millis_testing: 11.119, usercpu_time_millis_training: 2825.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9517, kappa: 0.8816, kb_relative_information_score: 27775.7333, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4248, scimark_benchmark: 1372.1585, usercpu_time_millis: 5729.495, usercpu_time_millis_testing: 9.939, usercpu_time_millis_training: 5719.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9348, kappa: 0.8385, kb_relative_information_score: 25331.1474, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.489, scimark_benchmark: 1794.6496, usercpu_time_millis: 849.322, usercpu_time_millis_testing: 8.405, usercpu_time_millis_training: 840.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8663, kappa: 0.6717, kb_relative_information_score: 15561.2124, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.866, predictive_accuracy: 0.8665, prior_entropy: 0.863, recall: 0.8665, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6865, scimark_benchmark: 1370.6673, usercpu_time_millis: 63.452, usercpu_time_millis_testing: 1.701, usercpu_time_millis_training: 61.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9587, kappa: 0.8985, kb_relative_information_score: 28284.0811, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3963, scimark_benchmark: 1881.4018, usercpu_time_millis: 745.209, usercpu_time_millis_testing: 9.068, usercpu_time_millis_training: 736.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9215, kappa: 0.803, kb_relative_information_score: 24573.5682, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.9238, prior_entropy: 0.863, recall: 0.9238, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5076, scimark_benchmark: 1772.2714, usercpu_time_millis: 832.199, usercpu_time_millis_testing: 6.018, usercpu_time_millis_training: 826.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9437, kappa: 0.8622, kb_relative_information_score: 28948.2275, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4769, scimark_benchmark: 1369.7519, usercpu_time_millis: 8.497, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 8.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.914, kappa: 0.7834, kb_relative_information_score: 24386.5971, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9193, predictive_accuracy: 0.9171, prior_entropy: 0.863, recall: 0.9171, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.5383, scimark_benchmark: 765.4165, usercpu_time_millis: 731.126, usercpu_time_millis_testing: 3.15, usercpu_time_millis_training: 727.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29584.8312, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.356, scimark_benchmark: 1369.2354, usercpu_time_millis: 3885.288, usercpu_time_millis_testing: 18.663, usercpu_time_millis_training: 3866.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9676, kappa: 0.9205, kb_relative_information_score: 29840.6161, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532, scimark_benchmark: 1812.1514, usercpu_time_millis: 708.01, usercpu_time_millis_testing: 2.478, usercpu_time_millis_training: 705.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9587, kappa: 0.8985, kb_relative_information_score: 28299.0259, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3968, scimark_benchmark: 1816.8537, usercpu_time_millis: 585.355, usercpu_time_millis_testing: 11.705, usercpu_time_millis_training: 573.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9387, kappa: 0.848, kb_relative_information_score: 24592.506, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4834, scimark_benchmark: 1368.5198, usercpu_time_millis: 297.786, usercpu_time_millis_testing: 5.918, usercpu_time_millis_training: 291.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9495, kappa: 0.8751, kb_relative_information_score: 25656.139, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9497, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4497, scimark_benchmark: 1557.4162, usercpu_time_millis: 367.479, usercpu_time_millis_testing: 14.747, usercpu_time_millis_training: 352.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9526, kappa: 0.8836, kb_relative_information_score: 27344.5552, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4292, scimark_benchmark: 1823.6141, usercpu_time_millis: 293.745, usercpu_time_millis_testing: 2.964, usercpu_time_millis_training: 290.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9175, kappa: 0.7927, kb_relative_information_score: 23433.8234, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9203, prior_entropy: 0.863, recall: 0.9203, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5228, scimark_benchmark: 1813.8149, usercpu_time_millis: 447.341, usercpu_time_millis_testing: 7.565, usercpu_time_millis_training: 439.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9432, kappa: 0.8596, kb_relative_information_score: 26011.274, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.461, scimark_benchmark: 1813.9213, usercpu_time_millis: 258.515, usercpu_time_millis_testing: 7.611, usercpu_time_millis_training: 250.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9704, kappa: 0.9273, kb_relative_information_score: 29895.8435, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371, scimark_benchmark: 1828.6996, usercpu_time_millis: 163.185, usercpu_time_millis_testing: 4.167, usercpu_time_millis_training: 159.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9257, kappa: 0.8144, kb_relative_information_score: 23944.9444, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9277, predictive_accuracy: 0.9274, prior_entropy: 0.863, recall: 0.9274, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5079, scimark_benchmark: 1750.5584, usercpu_time_millis: 379.456, usercpu_time_millis_testing: 7.997, usercpu_time_millis_training: 371.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 28593.094, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3865, scimark_benchmark: 1792.5544, usercpu_time_millis: 353.974, usercpu_time_millis_testing: 6.867, usercpu_time_millis_training: 347.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9662, kappa: 0.9169, kb_relative_information_score: 28833.4098, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3629, scimark_benchmark: 1811.9708, usercpu_time_millis: 223.882, usercpu_time_millis_testing: 7.175, usercpu_time_millis_training: 216.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9443, kappa: 0.8627, kb_relative_information_score: 26290.549, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4549, scimark_benchmark: 1827.2639, usercpu_time_millis: 221.85, usercpu_time_millis_testing: 4.132, usercpu_time_millis_training: 217.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9254, kappa: 0.8135, kb_relative_information_score: 24618.0484, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9278, predictive_accuracy: 0.9273, prior_entropy: 0.863, recall: 0.9273, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5032, scimark_benchmark: 1367.3632, usercpu_time_millis: 1683.392, usercpu_time_millis_testing: 11.307, usercpu_time_millis_training: 1672.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9441, kappa: 0.8617, kb_relative_information_score: 25911.6671, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4575, scimark_benchmark: 771.6008, usercpu_time_millis: 180.926, usercpu_time_millis_testing: 7.523, usercpu_time_millis_training: 173.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9596, kappa: 0.9005, kb_relative_information_score: 27408.1005, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.401, scimark_benchmark: 1790.5594, usercpu_time_millis: 198.629, usercpu_time_millis_testing: 8.812, usercpu_time_millis_training: 189.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29287.1164, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3544, scimark_benchmark: 775.3307, usercpu_time_millis: 72.83, usercpu_time_millis_testing: 3.173, usercpu_time_millis_training: 69.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.2254, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1766.9462, usercpu_time_millis: 52.408, usercpu_time_millis_testing: 4.919, usercpu_time_millis_training: 47.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9391, kappa: 0.8492, kb_relative_information_score: 25463.554, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4726, scimark_benchmark: 1805.8406, usercpu_time_millis: 26.366, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 25.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.9074, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 772.8731, usercpu_time_millis: 107.742, usercpu_time_millis_testing: 10.714, usercpu_time_millis_training: 97.028,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9262, kappa: 0.816, kb_relative_information_score: 23120.9979, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 0.863, recall: 0.9278, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5191, scimark_benchmark: 1819.8624, usercpu_time_millis: 21.429, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 20.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -7.8755, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1756.2028, usercpu_time_millis: 30.025, usercpu_time_millis_testing: 4.973, usercpu_time_millis_training: 25.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9524, kappa: 0.8833, kb_relative_information_score: 27794.7995, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4233, scimark_benchmark: 1812.2548, usercpu_time_millis: 3819.153, usercpu_time_millis_testing: 11.339, usercpu_time_millis_training: 3807.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9594, kappa: 0.9002, kb_relative_information_score: 27774.9386, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1368.6715, usercpu_time_millis: 177.025, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 173.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9184, kappa: 0.7952, kb_relative_information_score: 23847.6448, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162, scimark_benchmark: 1368.9866, usercpu_time_millis: 675.85, usercpu_time_millis_testing: 4.507, usercpu_time_millis_training: 671.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9493, kappa: 0.8755, kb_relative_information_score: 27113.6688, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, scimark_benchmark: 1369.7458, usercpu_time_millis: 337.604, usercpu_time_millis_testing: 1.589, usercpu_time_millis_training: 336.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28798.1031, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3832, scimark_benchmark: 1366.7096, usercpu_time_millis: 2938.815, usercpu_time_millis_testing: 12.063, usercpu_time_millis_training: 2926.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9451, kappa: 0.8648, kb_relative_information_score: 26871.8112, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4529, scimark_benchmark: 1371.3323, usercpu_time_millis: 1178.582, usercpu_time_millis_testing: 2.771, usercpu_time_millis_training: 1175.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9112, kappa: 0.777, kb_relative_information_score: 15896.2974, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9153, predictive_accuracy: 0.9141, prior_entropy: 0.863, recall: 0.9141, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6579, scimark_benchmark: 1364.9752, usercpu_time_millis: 33.344, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 31.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9478, kappa: 0.8717, kb_relative_information_score: 26895.0732, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4445, scimark_benchmark: 1368.9378, usercpu_time_millis: 1295.206, usercpu_time_millis_testing: 12.495, usercpu_time_millis_training: 1282.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28520.1424, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3963, scimark_benchmark: 1758.82, usercpu_time_millis: 2767.973, usercpu_time_millis_testing: 10.555, usercpu_time_millis_training: 2757.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9214, kappa: 0.8029, kb_relative_information_score: 24544.3601, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.9238, prior_entropy: 0.863, recall: 0.9238, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5081, scimark_benchmark: 1371.9615, usercpu_time_millis: 973.78, usercpu_time_millis_testing: 6.119, usercpu_time_millis_training: 967.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9437, kappa: 0.8613, kb_relative_information_score: 26441.8316, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4627, scimark_benchmark: 1366.7742, usercpu_time_millis: 261.896, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 260.699,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.691, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1371.7301, usercpu_time_millis: 26.67, usercpu_time_millis_testing: 4.361, usercpu_time_millis_training: 22.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.9394, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1354.3585, usercpu_time_millis: 49.319, usercpu_time_millis_testing: 5.958, usercpu_time_millis_training: 43.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9575, kappa: 0.8958, kb_relative_information_score: 28359.5474, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4032, scimark_benchmark: 1372.1364, usercpu_time_millis: 4003.879, usercpu_time_millis_testing: 7.11, usercpu_time_millis_training: 3996.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 29906.8412, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3475, scimark_benchmark: 1373.7913, usercpu_time_millis: 3915.686, usercpu_time_millis_testing: 13.572, usercpu_time_millis_training: 3902.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9667, kappa: 0.9182, kb_relative_information_score: 29638.2093, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3577, scimark_benchmark: 1371.0435, usercpu_time_millis: 923.611, usercpu_time_millis_testing: 2.062, usercpu_time_millis_training: 921.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9588, kappa: 0.899, kb_relative_information_score: 28443.6431, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3975, scimark_benchmark: 1373.373, usercpu_time_millis: 3796.165, usercpu_time_millis_testing: 16.149, usercpu_time_millis_training: 3780.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9148, kappa: 0.7883, kb_relative_information_score: 23132.1103, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9152, predictive_accuracy: 0.9161, prior_entropy: 0.863, recall: 0.9161, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5345, scimark_benchmark: 1372.7488, usercpu_time_millis: 679.611, usercpu_time_millis_testing: 3.221, usercpu_time_millis_training: 676.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 28366.7869, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3873, scimark_benchmark: 1368.4639, usercpu_time_millis: 600.067, usercpu_time_millis_testing: 11.414, usercpu_time_millis_training: 588.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9157, kappa: 0.7878, kb_relative_information_score: 24394.4702, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5236, scimark_benchmark: 1749.5147, usercpu_time_millis: 1004.558, usercpu_time_millis_testing: 10.506, usercpu_time_millis_training: 994.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.936, kappa: 0.8414, kb_relative_information_score: 25910.9969, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4769, scimark_benchmark: 784.085, usercpu_time_millis: 1010.144, usercpu_time_millis_testing: 7.568, usercpu_time_millis_training: 1002.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.861, kappa: 0.6648, kb_relative_information_score: 17484.0373, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8645, predictive_accuracy: 0.859, prior_entropy: 0.863, recall: 0.859, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6894, scimark_benchmark: 1362.693, usercpu_time_millis: 1243.493, usercpu_time_millis_testing: 3.3, usercpu_time_millis_training: 1240.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9589, kappa: 0.8991, kb_relative_information_score: 28455.4782, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1368.2744, usercpu_time_millis: 1304.904, usercpu_time_millis_testing: 2.876, usercpu_time_millis_training: 1302.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8376, kappa: 0.5834, kb_relative_information_score: 11830.9886, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8634, predictive_accuracy: 0.8522, prior_entropy: 0.863, recall: 0.8522, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.7443, scimark_benchmark: 1370.5201, usercpu_time_millis: 81.29, usercpu_time_millis_testing: 6.342, usercpu_time_millis_training: 74.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8655, kappa: 0.6738, kb_relative_information_score: 17493.134, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8675, predictive_accuracy: 0.8642, prior_entropy: 0.863, recall: 0.8642, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6843, scimark_benchmark: 771.9688, usercpu_time_millis: 873.57, usercpu_time_millis_testing: 11.148, usercpu_time_millis_training: 862.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8704, kappa: 0.6839, kb_relative_information_score: 17528.4792, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8711, predictive_accuracy: 0.8699, prior_entropy: 0.863, recall: 0.8699, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6675, scimark_benchmark: 1367.9195, usercpu_time_millis: 362.24, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 359.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9331, kappa: 0.8337, kb_relative_information_score: 25248.8983, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9342, prior_entropy: 0.863, recall: 0.9342, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4961, scimark_benchmark: 1770.0627, usercpu_time_millis: 721.625, usercpu_time_millis_testing: 5.136, usercpu_time_millis_training: 716.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9466, kappa: 0.8688, kb_relative_information_score: 26839.5617, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9466, predictive_accuracy: 0.9468, prior_entropy: 0.863, recall: 0.9468, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4476, scimark_benchmark: 784.8139, usercpu_time_millis: 634.184, usercpu_time_millis_testing: 5.274, usercpu_time_millis_training: 628.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9449, kappa: 0.8642, kb_relative_information_score: 26632.27, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4576, scimark_benchmark: 1798.7609, usercpu_time_millis: 505.356, usercpu_time_millis_testing: 2.495, usercpu_time_millis_training: 502.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9601, kappa: 0.9017, kb_relative_information_score: 27379.0273, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014, scimark_benchmark: 1790.1093, usercpu_time_millis: 203.821, usercpu_time_millis_testing: 7.982, usercpu_time_millis_training: 195.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28811.6886, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3791, scimark_benchmark: 1771.4544, usercpu_time_millis: 484.181, usercpu_time_millis_testing: 5.583, usercpu_time_millis_training: 478.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9597, kappa: 0.9013, kb_relative_information_score: 28506.1276, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3918, scimark_benchmark: 1369.5648, usercpu_time_millis: 2223.038, usercpu_time_millis_testing: 14.549, usercpu_time_millis_training: 2208.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9534, kappa: 0.8847, kb_relative_information_score: 25535.0541, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.445, scimark_benchmark: 1579.7121, usercpu_time_millis: 221.156, usercpu_time_millis_testing: 11.209, usercpu_time_millis_training: 209.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9459, kappa: 0.8656, kb_relative_information_score: 23186.8642, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.496, scimark_benchmark: 1803.7663, usercpu_time_millis: 120.06, usercpu_time_millis_testing: 7.588, usercpu_time_millis_training: 112.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9473, kappa: 0.8694, kb_relative_information_score: 24382.0825, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4731, scimark_benchmark: 778.4227, usercpu_time_millis: 49.008, usercpu_time_millis_testing: 2.841, usercpu_time_millis_training: 46.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 28718.5063, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1786.2445, usercpu_time_millis: 151.048, usercpu_time_millis_testing: 2.274, usercpu_time_millis_training: 148.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9298, kappa: 0.8251, kb_relative_information_score: 22327.437, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.931, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5272, scimark_benchmark: 1799.5909, usercpu_time_millis: 113.123, usercpu_time_millis_testing: 3.55, usercpu_time_millis_training: 109.573,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs