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: 0.9811, f_measure: 0.9336, kappa: 0.8356, kb_relative_information_score: 25795.4027, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.488, scimark_benchmark: 1736.7365, usercpu_time_millis: 4671.022, usercpu_time_millis_testing: 10.245, usercpu_time_millis_training: 4660.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9577, kappa: 0.8963, kb_relative_information_score: 28470.3858, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014, scimark_benchmark: 1743.5761, usercpu_time_millis: 2097.426, usercpu_time_millis_testing: 4.597, usercpu_time_millis_training: 2092.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.935, kappa: 0.8389, kb_relative_information_score: 25772.7647, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4844, scimark_benchmark: 1713.651, usercpu_time_millis: 3944.39, usercpu_time_millis_testing: 14.935, usercpu_time_millis_training: 3929.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 28716.6885, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3858, scimark_benchmark: 1881.3192, usercpu_time_millis: 1618.04, usercpu_time_millis_testing: 15.85, usercpu_time_millis_training: 1602.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9357, kappa: 0.8407, kb_relative_information_score: 25614.6167, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4875, scimark_benchmark: 1736.5418, usercpu_time_millis: 3513.937, usercpu_time_millis_testing: 14.434, usercpu_time_millis_training: 3499.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9454, kappa: 0.8655, kb_relative_information_score: 26514.4958, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4508, scimark_benchmark: 1718.6156, usercpu_time_millis: 1435.799, usercpu_time_millis_testing: 20.296, usercpu_time_millis_training: 1415.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9377, kappa: 0.8458, kb_relative_information_score: 25942.9054, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4731, scimark_benchmark: 1710.362, usercpu_time_millis: 1430.232, usercpu_time_millis_testing: 9.659, usercpu_time_millis_training: 1420.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9489, kappa: 0.8746, kb_relative_information_score: 27210.3817, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4391, scimark_benchmark: 1717.4916, usercpu_time_millis: 1119.106, usercpu_time_millis_testing: 5.326, usercpu_time_millis_training: 1113.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 30279.6772, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3481, scimark_benchmark: 1834.6918, usercpu_time_millis: 1055.607, usercpu_time_millis_testing: 3.079, usercpu_time_millis_training: 1052.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9348, kappa: 0.8383, kb_relative_information_score: 25383.0662, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4923, scimark_benchmark: 1729.2681, usercpu_time_millis: 1072.614, usercpu_time_millis_testing: 5.58, usercpu_time_millis_training: 1067.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.957, kappa: 0.8943, kb_relative_information_score: 27641.1054, mean_absolute_error: 0.0863, 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: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4104, scimark_benchmark: 1710.0929, usercpu_time_millis: 1011.151, usercpu_time_millis_testing: 26.024, usercpu_time_millis_training: 985.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9581, kappa: 0.8973, kb_relative_information_score: 28314.4856, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4017, scimark_benchmark: 1725.6877, usercpu_time_millis: 3507.015, usercpu_time_millis_testing: 13.942, usercpu_time_millis_training: 3493.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9552, kappa: 0.8898, kb_relative_information_score: 27309.1578, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4176, scimark_benchmark: 1727.1622, usercpu_time_millis: 365.473, usercpu_time_millis_testing: 12.495, usercpu_time_millis_training: 352.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.967, kappa: 0.9191, kb_relative_information_score: 29623.3668, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.357, scimark_benchmark: 1777.4173, usercpu_time_millis: 422.066, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 419.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9591, kappa: 0.8997, kb_relative_information_score: 28070.5217, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3984, scimark_benchmark: 1744.0537, usercpu_time_millis: 373.806, usercpu_time_millis_testing: 6.009, usercpu_time_millis_training: 367.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8639, kappa: 0.6668, kb_relative_information_score: 16508.8377, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 0.863, recall: 0.8638, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6989, scimark_benchmark: 1803.8857, usercpu_time_millis: 309.694, usercpu_time_millis_testing: 8.827, usercpu_time_millis_training: 300.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8589, kappa: 0.6611, kb_relative_information_score: 17324.3333, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8636, predictive_accuracy: 0.8565, prior_entropy: 0.863, recall: 0.8565, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.7043, scimark_benchmark: 1947.8098, usercpu_time_millis: 3604.587, usercpu_time_millis_testing: 10.37, usercpu_time_millis_training: 3594.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9449, kappa: 0.8634, kb_relative_information_score: 23700.3918, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4892, scimark_benchmark: 1947.2546, usercpu_time_millis: 220.283, usercpu_time_millis_testing: 9.338, usercpu_time_millis_training: 210.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.934, kappa: 0.8365, kb_relative_information_score: 25597.7362, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4902, scimark_benchmark: 1740.3041, usercpu_time_millis: 2614.814, usercpu_time_millis_testing: 10.652, usercpu_time_millis_training: 2604.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7417, kappa: 0.3376, kb_relative_information_score: 8629.9008, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8334, predictive_accuracy: 0.789, prior_entropy: 0.863, recall: 0.789, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.8132, scimark_benchmark: 1877.5107, usercpu_time_millis: 75.863, usercpu_time_millis_testing: 8.009, usercpu_time_millis_training: 67.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9286, kappa: 0.8223, kb_relative_information_score: 20660.3522, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9299, prior_entropy: 0.863, recall: 0.9299, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5581, scimark_benchmark: 1750.5825, usercpu_time_millis: 117.057, usercpu_time_millis_testing: 10.119, usercpu_time_millis_training: 106.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8582, kappa: 0.6547, kb_relative_information_score: 15598.9743, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8593, predictive_accuracy: 0.8574, prior_entropy: 0.863, recall: 0.8574, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7413, scimark_benchmark: 1756.558, usercpu_time_millis: 115.162, usercpu_time_millis_testing: 2.807, usercpu_time_millis_training: 112.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8697, kappa: 0.6798, kb_relative_information_score: 15131.9016, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.87, prior_entropy: 0.863, recall: 0.87, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6865, scimark_benchmark: 1836.2249, usercpu_time_millis: 106.219, usercpu_time_millis_testing: 6.552, usercpu_time_millis_training: 99.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -3.8496, 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: 1718.1989, usercpu_time_millis: 87.99, usercpu_time_millis_testing: 7.818, usercpu_time_millis_training: 80.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29790.3126, mean_absolute_error: 0.0589, 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: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3475, scimark_benchmark: 1950.7201, usercpu_time_millis: 78.69, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 77.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9444, kappa: 0.862, kb_relative_information_score: 22673.9461, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5083, scimark_benchmark: 1726.9937, usercpu_time_millis: 73.715, usercpu_time_millis_testing: 4.606, usercpu_time_millis_training: 69.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9193, kappa: 0.7972, kb_relative_information_score: 22793.1847, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9219, prior_entropy: 0.863, recall: 0.9219, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.5299, scimark_benchmark: 1846.4335, usercpu_time_millis: 74.041, usercpu_time_millis_testing: 2.913, usercpu_time_millis_training: 71.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9477, kappa: 0.8709, kb_relative_information_score: 25885.4073, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4507, scimark_benchmark: 1898.6073, usercpu_time_millis: 44.634, usercpu_time_millis_testing: 1.689, usercpu_time_millis_training: 42.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9358, kappa: 0.8406, kb_relative_information_score: 23083.66, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.51, scimark_benchmark: 1725.4713, usercpu_time_millis: 19.553, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 18.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29453.3152, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3649, scimark_benchmark: 1721.9794, usercpu_time_millis: 2199.641, usercpu_time_millis_testing: 7.517, usercpu_time_millis_training: 2192.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9226, kappa: 0.806, kb_relative_information_score: 24694.1418, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9258, predictive_accuracy: 0.9248, prior_entropy: 0.863, recall: 0.9248, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5109, scimark_benchmark: 1967.9958, usercpu_time_millis: 2076.575, usercpu_time_millis_testing: 11.694, usercpu_time_millis_training: 2064.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9544, kappa: 0.8882, kb_relative_information_score: 27831.3145, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4174, scimark_benchmark: 1729.2293, usercpu_time_millis: 2130.472, usercpu_time_millis_testing: 15.426, usercpu_time_millis_training: 2115.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9353, kappa: 0.8395, kb_relative_information_score: 25418.3921, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4912, scimark_benchmark: 1718.0216, usercpu_time_millis: 2105.693, usercpu_time_millis_testing: 9.367, usercpu_time_millis_training: 2096.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9452, kappa: 0.8652, kb_relative_information_score: 26729.5197, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4553, scimark_benchmark: 1716.9447, usercpu_time_millis: 2020.227, usercpu_time_millis_testing: 7.824, usercpu_time_millis_training: 2012.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9159, kappa: 0.7887, kb_relative_information_score: 23806.7086, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9204, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.5279, scimark_benchmark: 1767.1508, usercpu_time_millis: 1541.478, usercpu_time_millis_testing: 8.468, usercpu_time_millis_training: 1533.01,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9557, kappa: 0.8908, kb_relative_information_score: 27029.2334, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.417, scimark_benchmark: 1725.689, usercpu_time_millis: 595.567, usercpu_time_millis_testing: 21.244, usercpu_time_millis_training: 574.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9635, kappa: 0.9104, kb_relative_information_score: 29559.5873, mean_absolute_error: 0.0603, 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: 0.1478, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3709, scimark_benchmark: 1751.4936, usercpu_time_millis: 2780.555, usercpu_time_millis_testing: 6.534, usercpu_time_millis_training: 2774.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9536, kappa: 0.8854, kb_relative_information_score: 26401.7819, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4305, scimark_benchmark: 1840.3077, usercpu_time_millis: 461.132, usercpu_time_millis_testing: 18.062, usercpu_time_millis_training: 443.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9445, kappa: 0.8625, kb_relative_information_score: 24814.3215, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4698, scimark_benchmark: 1879.9449, usercpu_time_millis: 428.337, usercpu_time_millis_testing: 17.692, usercpu_time_millis_training: 410.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.947, kappa: 0.8696, kb_relative_information_score: 26792.8306, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4462, scimark_benchmark: 1730.3461, usercpu_time_millis: 413.553, usercpu_time_millis_testing: 3.587, usercpu_time_millis_training: 409.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9246, kappa: 0.8106, kb_relative_information_score: 18655.442, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9296, predictive_accuracy: 0.9272, prior_entropy: 0.863, recall: 0.9272, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5943, scimark_benchmark: 1834.2954, usercpu_time_millis: 267.824, usercpu_time_millis_testing: 19.514, usercpu_time_millis_training: 248.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9266, kappa: 0.8166, kb_relative_information_score: 18376.3263, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9284, prior_entropy: 0.863, recall: 0.9284, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.6035, scimark_benchmark: 1840.3077, usercpu_time_millis: 258.415, usercpu_time_millis_testing: 15.669, usercpu_time_millis_training: 242.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9636, kappa: 0.9105, kb_relative_information_score: 28139.6118, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3797, scimark_benchmark: 1727.0567, usercpu_time_millis: 162.603, usercpu_time_millis_testing: 8.197, usercpu_time_millis_training: 154.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9557, kappa: 0.8903, kb_relative_information_score: 25216.32, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4436, scimark_benchmark: 1719.9353, usercpu_time_millis: 160.266, usercpu_time_millis_testing: 11.306, usercpu_time_millis_training: 148.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9269, kappa: 0.8163, kb_relative_information_score: 18883.8799, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9317, predictive_accuracy: 0.9293, prior_entropy: 0.863, recall: 0.9293, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5881, scimark_benchmark: 1855.4813, usercpu_time_millis: 131.943, usercpu_time_millis_testing: 9.296, usercpu_time_millis_training: 122.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9491, kappa: 0.8745, kb_relative_information_score: 26295.137, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4441, scimark_benchmark: 1833.6579, usercpu_time_millis: 114.923, usercpu_time_millis_testing: 4.512, usercpu_time_millis_training: 110.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9544, kappa: 0.887, kb_relative_information_score: 25096.2647, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4474, scimark_benchmark: 1743.1414, usercpu_time_millis: 84.535, usercpu_time_millis_testing: 4.309, usercpu_time_millis_training: 80.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9374, kappa: 0.8445, kb_relative_information_score: 21654.1576, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5347, scimark_benchmark: 1745.1662, usercpu_time_millis: 84.318, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 80.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.869, kappa: 0.6815, kb_relative_information_score: 17475.4416, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8704, predictive_accuracy: 0.868, prior_entropy: 0.863, recall: 0.868, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6828, scimark_benchmark: 1739.3795, usercpu_time_millis: 90.517, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 89.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.4593, 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: 1743.0836, usercpu_time_millis: 68.929, usercpu_time_millis_testing: 6.118, usercpu_time_millis_training: 62.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29122.5047, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3678, scimark_benchmark: 1736.6583, usercpu_time_millis: 55.771, usercpu_time_millis_testing: 1.7, usercpu_time_millis_training: 54.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 29120.9315, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3626, scimark_benchmark: 1952.9923, usercpu_time_millis: 48.946, usercpu_time_millis_testing: 1.747, usercpu_time_millis_training: 47.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -1.1102, 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: 1741.3224, usercpu_time_millis: 48.948, usercpu_time_millis_testing: 7.128, usercpu_time_millis_training: 41.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8753, kappa: 0.6874, kb_relative_information_score: 13652.0433, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8768, predictive_accuracy: 0.8789, prior_entropy: 0.863, recall: 0.8789, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7143, scimark_benchmark: 1735.8057, usercpu_time_millis: 19.782, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 19.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 30005.7021, mean_absolute_error: 0.0554, 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: 0.1357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3513, scimark_benchmark: 1735.1319, usercpu_time_millis: 922.59, usercpu_time_millis_testing: 3.306, usercpu_time_millis_training: 919.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 29231.586, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3689, scimark_benchmark: 1752.4078, usercpu_time_millis: 2016.226, usercpu_time_millis_testing: 15.29, usercpu_time_millis_training: 2000.936,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9552, kappa: 0.89, kb_relative_information_score: 27890.2748, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4146, scimark_benchmark: 1836.2249, usercpu_time_millis: 1313.098, usercpu_time_millis_testing: 11.924, usercpu_time_millis_training: 1301.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8598, kappa: 0.6557, kb_relative_information_score: 15688.3967, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8595, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.7202, scimark_benchmark: 1837.0857, usercpu_time_millis: 90.585, usercpu_time_millis_testing: 2.177, usercpu_time_millis_training: 88.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.77, 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: 1753.9532, usercpu_time_millis: 49.38, usercpu_time_millis_testing: 6.388, usercpu_time_millis_training: 42.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9339, kappa: 0.8359, kb_relative_information_score: 25234.163, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.494, scimark_benchmark: 1723.5031, usercpu_time_millis: 1021.246, usercpu_time_millis_testing: 7.78, usercpu_time_millis_training: 1013.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9194, kappa: 0.7976, kb_relative_information_score: 24565.26, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.922, prior_entropy: 0.863, recall: 0.922, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5125, scimark_benchmark: 2125.583, usercpu_time_millis: 695.974, usercpu_time_millis_testing: 4.352, usercpu_time_millis_training: 691.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8583, kappa: 0.6519, kb_relative_information_score: 15430.1108, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.858, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7359, scimark_benchmark: 1987.0093, usercpu_time_millis: 158.618, usercpu_time_millis_testing: 6.091, usercpu_time_millis_training: 152.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.6324, 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: 1885.904, usercpu_time_millis: 59.567, usercpu_time_millis_testing: 6.149, usercpu_time_millis_training: 53.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8616, kappa: 0.6585, kb_relative_information_score: 14041.0562, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8609, predictive_accuracy: 0.8626, prior_entropy: 0.863, recall: 0.8626, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.7131, scimark_benchmark: 1721.7551, usercpu_time_millis: 24.749, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 23.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9375, kappa: 0.8453, kb_relative_information_score: 25847.0764, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4796, scimark_benchmark: 1731.9175, usercpu_time_millis: 182.043, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 180.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8952, kappa: 0.7417, kb_relative_information_score: 17565.7206, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8948, predictive_accuracy: 0.8958, prior_entropy: 0.863, recall: 0.8958, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.6366, scimark_benchmark: 1760.1936, usercpu_time_millis: 178.841, usercpu_time_millis_testing: 6.717, usercpu_time_millis_training: 172.124,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs