Task
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: 0.9889, f_measure: 0.952, kappa: 0.8818, kb_relative_information_score: 26955.6674, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4315, scimark_benchmark: 1252.6592, usercpu_time_millis: 1834.333, usercpu_time_millis_testing: 69.191, usercpu_time_millis_training: 1765.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9317, kappa: 0.8287, kb_relative_information_score: 19286.5291, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.936, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.578, scimark_benchmark: 1259.6959, usercpu_time_millis: 992.865, usercpu_time_millis_testing: 73.358, usercpu_time_millis_training: 919.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9569, kappa: 0.8938, kb_relative_information_score: 27208, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.4121, scimark_benchmark: 1258.472, usercpu_time_millis: 1952.719, usercpu_time_millis_testing: 67.583, usercpu_time_millis_training: 1885.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9689, kappa: 0.9236, kb_relative_information_score: 29628.7363, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3443, scimark_benchmark: 1257.9329, usercpu_time_millis: 728.234, usercpu_time_millis_testing: 20.335, usercpu_time_millis_training: 707.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9598, kappa: 0.9011, kb_relative_information_score: 27849.0623, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3946, scimark_benchmark: 1251.5323, usercpu_time_millis: 1831.044, usercpu_time_millis_testing: 105.874, usercpu_time_millis_training: 1725.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9317, kappa: 0.8299, kb_relative_information_score: 22850.9776, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.517, scimark_benchmark: 1255.3901, usercpu_time_millis: 290.23, usercpu_time_millis_testing: 21.073, usercpu_time_millis_training: 269.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9589, kappa: 0.8986, kb_relative_information_score: 27169.545, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4068, scimark_benchmark: 1263.8357, usercpu_time_millis: 1076.603, usercpu_time_millis_testing: 69.605, usercpu_time_millis_training: 1006.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9267, kappa: 0.8172, kb_relative_information_score: 22988.4034, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9283, prior_entropy: 0.863, recall: 0.9283, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5208, scimark_benchmark: 1253.9513, usercpu_time_millis: 2324.21, usercpu_time_millis_testing: 67.584, usercpu_time_millis_training: 2256.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9279, kappa: 0.8191, kb_relative_information_score: 19011.2419, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5857, scimark_benchmark: 1257.8274, usercpu_time_millis: 884.078, usercpu_time_millis_testing: 63.74, usercpu_time_millis_training: 820.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9423, kappa: 0.8571, kb_relative_information_score: 24871.4374, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9427, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4719, scimark_benchmark: 1260.3844, usercpu_time_millis: 948.315, usercpu_time_millis_testing: 39.521, usercpu_time_millis_training: 908.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.944, kappa: 0.8612, kb_relative_information_score: 24117.1931, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.483, scimark_benchmark: 1266.9846, usercpu_time_millis: 1360.115, usercpu_time_millis_testing: 58.758, usercpu_time_millis_training: 1301.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9612, kappa: 0.9044, kb_relative_information_score: 27662.4597, mean_absolute_error: 0.089, 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: 0.2182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3934, scimark_benchmark: 1267.7952, usercpu_time_millis: 1733.46, usercpu_time_millis_testing: 73.915, usercpu_time_millis_training: 1659.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9564, kappa: 0.8924, kb_relative_information_score: 26718.141, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4194, scimark_benchmark: 1260.6915, usercpu_time_millis: 1170.071, usercpu_time_millis_testing: 62.441, usercpu_time_millis_training: 1107.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9589, kappa: 0.8984, kb_relative_information_score: 26074.3537, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4201, scimark_benchmark: 1262.2664, usercpu_time_millis: 1390.501, usercpu_time_millis_testing: 74.24, usercpu_time_millis_training: 1316.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9522, kappa: 0.8828, kb_relative_information_score: 27367.7975, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9522, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291, scimark_benchmark: 1251.8403, usercpu_time_millis: 11662.245, usercpu_time_millis_testing: 97.85, usercpu_time_millis_training: 11564.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9695, kappa: 0.9252, kb_relative_information_score: 29571.4676, mean_absolute_error: 0.0628, 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: 0.1539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3441, scimark_benchmark: 1268.8756, usercpu_time_millis: 1592.221, usercpu_time_millis_testing: 46.474, usercpu_time_millis_training: 1545.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9603, kappa: 0.9023, kb_relative_information_score: 27750.472, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3946, scimark_benchmark: 1255.1917, usercpu_time_millis: 651.271, usercpu_time_millis_testing: 31.154, usercpu_time_millis_training: 620.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9546, kappa: 0.8881, kb_relative_information_score: 27042.9564, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4212, scimark_benchmark: 1263.5023, usercpu_time_millis: 3872.902, usercpu_time_millis_testing: 93.059, usercpu_time_millis_training: 3779.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9575, kappa: 0.8953, kb_relative_information_score: 27072.0907, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4102, scimark_benchmark: 1268.4593, usercpu_time_millis: 1399.307, usercpu_time_millis_testing: 94.152, usercpu_time_millis_training: 1305.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9697, kappa: 0.9254, kb_relative_information_score: 29340.1832, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3448, scimark_benchmark: 1267.6283, usercpu_time_millis: 909.382, usercpu_time_millis_testing: 34.879, usercpu_time_millis_training: 874.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 29100.0993, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3773, scimark_benchmark: 1251.3216, usercpu_time_millis: 135.862, usercpu_time_millis_testing: 5.043, usercpu_time_millis_training: 130.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9612, kappa: 0.9045, kb_relative_information_score: 28138.4833, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3901, scimark_benchmark: 1257.3202, usercpu_time_millis: 1358.671, usercpu_time_millis_testing: 50.044, usercpu_time_millis_training: 1308.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9459, kappa: 0.8662, kb_relative_information_score: 25759.4102, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4553, scimark_benchmark: 1250.0219, usercpu_time_millis: 2295.143, usercpu_time_millis_testing: 67.351, usercpu_time_millis_training: 2227.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9216, kappa: 0.8033, kb_relative_information_score: 24394.3506, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9252, predictive_accuracy: 0.9239, prior_entropy: 0.863, recall: 0.9239, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5082, scimark_benchmark: 1273.3789, usercpu_time_millis: 4833.689, usercpu_time_millis_testing: 57.806, usercpu_time_millis_training: 4775.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9275, kappa: 0.8179, kb_relative_information_score: 18932.8417, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9299, prior_entropy: 0.863, recall: 0.9299, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.587, scimark_benchmark: 1262.013, usercpu_time_millis: 615.281, usercpu_time_millis_testing: 44.896, usercpu_time_millis_training: 570.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9655, kappa: 0.9153, kb_relative_information_score: 29368.6137, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3623, scimark_benchmark: 1256.6424, usercpu_time_millis: 9857.307, usercpu_time_millis_testing: 93.277, usercpu_time_millis_training: 9764.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9605, kappa: 0.9029, kb_relative_information_score: 28022.0857, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1271.4469, usercpu_time_millis: 330.771, usercpu_time_millis_testing: 18.529, usercpu_time_millis_training: 312.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9578, kappa: 0.8962, kb_relative_information_score: 27497.1182, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4067, scimark_benchmark: 1255.7904, usercpu_time_millis: 609.384, usercpu_time_millis_testing: 18.46, usercpu_time_millis_training: 590.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9432, kappa: 0.8591, kb_relative_information_score: 23835.977, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4895, scimark_benchmark: 1258.9235, usercpu_time_millis: 844.702, usercpu_time_millis_testing: 57.99, usercpu_time_millis_training: 786.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9133, kappa: 0.7821, kb_relative_information_score: 16455.8102, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.918, predictive_accuracy: 0.9163, prior_entropy: 0.863, recall: 0.9163, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6455, scimark_benchmark: 1258.4478, usercpu_time_millis: 836.634, usercpu_time_millis_testing: 56.098, usercpu_time_millis_training: 780.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9325, kappa: 0.8308, kb_relative_information_score: 19418.4562, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.575, scimark_benchmark: 1270.1827, usercpu_time_millis: 1013.215, usercpu_time_millis_testing: 73.792, usercpu_time_millis_training: 939.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9608, kappa: 0.9035, kb_relative_information_score: 27548.9097, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3964, scimark_benchmark: 1264.2468, usercpu_time_millis: 2634.868, usercpu_time_millis_testing: 96.521, usercpu_time_millis_training: 2538.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9363, kappa: 0.8421, kb_relative_information_score: 24974.284, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4856, scimark_benchmark: 1270.5872, usercpu_time_millis: 3490.465, usercpu_time_millis_testing: 66.533, usercpu_time_millis_training: 3423.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9173, kappa: 0.7916, kb_relative_information_score: 18068.6438, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9236, predictive_accuracy: 0.9205, prior_entropy: 0.863, recall: 0.9205, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6085, scimark_benchmark: 1265.5254, usercpu_time_millis: 955.565, usercpu_time_millis_testing: 71.031, usercpu_time_millis_training: 884.534,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9315, kappa: 0.8281, kb_relative_information_score: 19448.4378, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.575, scimark_benchmark: 1265.9121, usercpu_time_millis: 257.022, usercpu_time_millis_testing: 16.397, usercpu_time_millis_training: 240.625,
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: 0.9942, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29184.4157, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3586, scimark_benchmark: 1266.0838, usercpu_time_millis: 118.131, usercpu_time_millis_testing: 7.288, usercpu_time_millis_training: 110.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9326, kappa: 0.8325, kb_relative_information_score: 25075.2187, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4941, scimark_benchmark: 1277.9306, usercpu_time_millis: 3373.326, usercpu_time_millis_testing: 51.695, usercpu_time_millis_training: 3321.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9504, kappa: 0.8775, kb_relative_information_score: 26120.5911, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415, scimark_benchmark: 1265.3667, usercpu_time_millis: 1519.919, usercpu_time_millis_testing: 91.079, usercpu_time_millis_training: 1428.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9374, kappa: 0.8453, kb_relative_information_score: 25863.1609, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742, scimark_benchmark: 1267.5735, usercpu_time_millis: 2192.51, usercpu_time_millis_testing: 24.742, usercpu_time_millis_training: 2167.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9553, kappa: 0.8893, kb_relative_information_score: 25149.7611, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4452, scimark_benchmark: 1267.3636, usercpu_time_millis: 1481.723, usercpu_time_millis_testing: 104.188, usercpu_time_millis_training: 1377.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9593, kappa: 0.8998, kb_relative_information_score: 27260.9092, mean_absolute_error: 0.0943, 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: 0.231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1268.7601, usercpu_time_millis: 469.298, usercpu_time_millis_testing: 20.37, usercpu_time_millis_training: 448.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 28988.6199, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1271.9304, usercpu_time_millis: 706.053, usercpu_time_millis_testing: 12.505, usercpu_time_millis_training: 693.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9628, kappa: 0.9084, kb_relative_information_score: 28185.6414, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3832, scimark_benchmark: 1259.1531, usercpu_time_millis: 196.783, usercpu_time_millis_testing: 10.45, usercpu_time_millis_training: 186.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.958, kappa: 0.8968, kb_relative_information_score: 27950.4604, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4034, scimark_benchmark: 1274.6003, usercpu_time_millis: 1227.961, usercpu_time_millis_testing: 38.245, usercpu_time_millis_training: 1189.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9434, kappa: 0.8598, kb_relative_information_score: 25012.9798, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4683, scimark_benchmark: 1271.2376, usercpu_time_millis: 2838.172, usercpu_time_millis_testing: 108.299, usercpu_time_millis_training: 2729.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9599, kappa: 0.9014, kb_relative_information_score: 27954.1945, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3972, scimark_benchmark: 1274.3048, usercpu_time_millis: 3159.866, usercpu_time_millis_testing: 75.797, usercpu_time_millis_training: 3084.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9504, kappa: 0.877, kb_relative_information_score: 24352.1288, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4669, scimark_benchmark: 1259.5997, usercpu_time_millis: 169.24, usercpu_time_millis_testing: 13.024, usercpu_time_millis_training: 156.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9529, kappa: 0.8837, kb_relative_information_score: 26206.8554, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357, scimark_benchmark: 1268.4549, usercpu_time_millis: 1703.034, usercpu_time_millis_testing: 59.388, usercpu_time_millis_training: 1643.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9466, kappa: 0.8676, kb_relative_information_score: 23454.5256, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4891, scimark_benchmark: 1245.3353, usercpu_time_millis: 1028.077, usercpu_time_millis_testing: 76.26, usercpu_time_millis_training: 951.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9284, kappa: 0.8218, kb_relative_information_score: 20014.2579, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9296, predictive_accuracy: 0.9298, prior_entropy: 0.863, recall: 0.9298, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5708, scimark_benchmark: 1262.723, usercpu_time_millis: 127.729, usercpu_time_millis_testing: 11.466, usercpu_time_millis_training: 116.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9577, kappa: 0.8955, kb_relative_information_score: 25976.94, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, scimark_benchmark: 1267.0184, usercpu_time_millis: 100.561, usercpu_time_millis_testing: 6.861, usercpu_time_millis_training: 93.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9389, kappa: 0.8485, kb_relative_information_score: 23930.6946, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4928, scimark_benchmark: 1271.8608, usercpu_time_millis: 1596.061, usercpu_time_millis_testing: 68.464, usercpu_time_millis_training: 1527.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9654, kappa: 0.9149, kb_relative_information_score: 28504.3579, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3691, scimark_benchmark: 1256.3061, usercpu_time_millis: 866.174, usercpu_time_millis_testing: 38.162, usercpu_time_millis_training: 828.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9405, kappa: 0.8528, kb_relative_information_score: 26062.5346, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4672, scimark_benchmark: 1271.2904, usercpu_time_millis: 1306.805, usercpu_time_millis_testing: 41.195, usercpu_time_millis_training: 1265.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9543, kappa: 0.8869, kb_relative_information_score: 25144.1245, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446, scimark_benchmark: 1260.5786, usercpu_time_millis: 605.533, usercpu_time_millis_testing: 33.472, usercpu_time_millis_training: 572.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9621, kappa: 0.9068, kb_relative_information_score: 27895.8112, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3867, scimark_benchmark: 1259.9362, usercpu_time_millis: 573.718, usercpu_time_millis_testing: 33.379, usercpu_time_millis_training: 540.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9479, kappa: 0.871, kb_relative_information_score: 24573.1438, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4691, scimark_benchmark: 1272.3934, usercpu_time_millis: 266.228, usercpu_time_millis_testing: 15.282, usercpu_time_millis_training: 250.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9313, kappa: 0.8276, kb_relative_information_score: 19279.0434, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5781, scimark_benchmark: 1268.9559, usercpu_time_millis: 409.654, usercpu_time_millis_testing: 32.929, usercpu_time_millis_training: 376.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9192, kappa: 0.797, kb_relative_information_score: 23175.6127, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9233, predictive_accuracy: 0.9217, prior_entropy: 0.863, recall: 0.9217, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5237, scimark_benchmark: 1258.0668, usercpu_time_millis: 744.866, usercpu_time_millis_testing: 18.578, usercpu_time_millis_training: 726.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.952, kappa: 0.8815, kb_relative_information_score: 26497.3433, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9523, prior_entropy: 0.863, recall: 0.9523, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4337, scimark_benchmark: 1268.8895, usercpu_time_millis: 2992.026, usercpu_time_millis_testing: 95.596, usercpu_time_millis_training: 2896.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29343.8641, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3614, scimark_benchmark: 1256.5759, usercpu_time_millis: 3545.979, usercpu_time_millis_testing: 52.675, usercpu_time_millis_training: 3493.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9532, kappa: 0.8842, kb_relative_information_score: 25474.047, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4461, scimark_benchmark: 1269.9548, usercpu_time_millis: 1825.111, usercpu_time_millis_testing: 84.461, usercpu_time_millis_training: 1740.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9655, kappa: 0.9151, kb_relative_information_score: 28787.6199, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.367, scimark_benchmark: 1273.4003, usercpu_time_millis: 2046.752, usercpu_time_millis_testing: 75.854, usercpu_time_millis_training: 1970.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.923, kappa: 0.8071, kb_relative_information_score: 24373.7585, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9251, prior_entropy: 0.863, recall: 0.9251, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5078, scimark_benchmark: 1260.8203, usercpu_time_millis: 324.211, usercpu_time_millis_testing: 7.142, usercpu_time_millis_training: 317.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9568, kappa: 0.8935, kb_relative_information_score: 26796.4761, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.4169, scimark_benchmark: 1263.6455, usercpu_time_millis: 2018.37, usercpu_time_millis_testing: 82.731, usercpu_time_millis_training: 1935.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9405, kappa: 0.8531, kb_relative_information_score: 26139.5183, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9404, predictive_accuracy: 0.9409, prior_entropy: 0.863, recall: 0.9409, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4659, scimark_benchmark: 1275.8103, usercpu_time_millis: 957.29, usercpu_time_millis_testing: 10.551, usercpu_time_millis_training: 946.739,

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)

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