Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.9063, kb_relative_information_score: -1327.4712, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9518, scimark_benchmark: 1270.3325, usercpu_time_millis: 11.483, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 10.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -785.1874, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.8741, scimark_benchmark: 1256.879, usercpu_time_millis: 9.48, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 8.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -632.1047, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8559, scimark_benchmark: 1257.9075, usercpu_time_millis: 21.025, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 19.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -832.984, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.876, scimark_benchmark: 1276.5216, usercpu_time_millis: 47.126, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 44.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: -11.0012, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1266.4585, usercpu_time_millis: 20.146, usercpu_time_millis_testing: 2.172, usercpu_time_millis_training: 17.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.9063, kb_relative_information_score: -940.9847, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9586, scimark_benchmark: 1264.3528, usercpu_time_millis: 15.086, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 13.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -4.1099, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1252.4234, usercpu_time_millis: 11.949, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 10.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -788.9535, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9263, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1248.9288, usercpu_time_millis: 39.284, usercpu_time_millis_testing: 2.908, usercpu_time_millis_training: 36.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -694.8283, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8566, scimark_benchmark: 1273.435, usercpu_time_millis: 37.934, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 35.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -662.6479, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9383, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8516, scimark_benchmark: 1275.2363, usercpu_time_millis: 134.788, usercpu_time_millis_testing: 5.409, usercpu_time_millis_training: 129.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -780.3643, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8695, scimark_benchmark: 1271.1391, usercpu_time_millis: 17.355, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 16.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9063, kb_relative_information_score: -894.1516, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9017, scimark_benchmark: 1258.7734, usercpu_time_millis: 16.389, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 14.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -585.174, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9365, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8455, scimark_benchmark: 1260.0831, usercpu_time_millis: 118.654, usercpu_time_millis_testing: 7.64, usercpu_time_millis_training: 111.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9216, kappa: 0.1916, kb_relative_information_score: -678.2473, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8615, scimark_benchmark: 1261.5012, usercpu_time_millis: 113.228, usercpu_time_millis_testing: 4.927, usercpu_time_millis_training: 108.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9146, kappa: 0.1059, kb_relative_information_score: -710.9392, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9262, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8709, scimark_benchmark: 1261.4423, usercpu_time_millis: 6.671, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 6.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -862.9008, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8866, scimark_benchmark: 1261.1941, usercpu_time_millis: 7.67, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 7.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1078.2585, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.222, root_relative_squared_error: 0.9127, scimark_benchmark: 1253.7417, usercpu_time_millis: 58.903, usercpu_time_millis_testing: 3.417, usercpu_time_millis_training: 55.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.9063, kb_relative_information_score: -1290.6455, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.9432, scimark_benchmark: 1263.1815, usercpu_time_millis: 57.179, usercpu_time_millis_testing: 4.054, usercpu_time_millis_training: 53.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9111, kappa: 0.057, kb_relative_information_score: -808.8841, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9426, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8786, scimark_benchmark: 1254.106, usercpu_time_millis: 53.24, usercpu_time_millis_testing: 4.539, usercpu_time_millis_training: 48.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -631.5296, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8552, scimark_benchmark: 1247.044, usercpu_time_millis: 87.881, usercpu_time_millis_testing: 7.157, usercpu_time_millis_training: 80.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -625.8223, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8572, scimark_benchmark: 1234.9208, usercpu_time_millis: 47.03, usercpu_time_millis_testing: 2.979, usercpu_time_millis_training: 44.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9151, kappa: 0.1084, kb_relative_information_score: -677.7651, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9338, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8631, scimark_benchmark: 1268.9016, usercpu_time_millis: 65.577, usercpu_time_millis_testing: 5.628, usercpu_time_millis_training: 59.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -714.8817, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9366, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8674, scimark_benchmark: 1257.501, usercpu_time_millis: 63.719, usercpu_time_millis_testing: 4.014, usercpu_time_millis_training: 59.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -904.9307, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.8911, scimark_benchmark: 1267.8277, usercpu_time_millis: 20.973, usercpu_time_millis_testing: 1.761, usercpu_time_millis_training: 19.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9097, kappa: 0.0438, kb_relative_information_score: -772.4534, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9211, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.873, scimark_benchmark: 1248.7086, usercpu_time_millis: 45.386, usercpu_time_millis_testing: 4.313, usercpu_time_millis_training: 41.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.9063, kb_relative_information_score: -1041.7529, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9198, scimark_benchmark: 1258.1513, usercpu_time_millis: 15.838, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 14.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -876.4552, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8875, scimark_benchmark: 1256.9339, usercpu_time_millis: 35.745, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 32.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9149, kappa: 0.1071, kb_relative_information_score: -686.2776, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8631, scimark_benchmark: 1266.8935, usercpu_time_millis: 36.094, usercpu_time_millis_testing: 3.047, usercpu_time_millis_training: 33.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -775.0171, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.869, scimark_benchmark: 1258.2441, usercpu_time_millis: 107.399, usercpu_time_millis_testing: 5.179, usercpu_time_millis_training: 102.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -736.316, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8823, scimark_benchmark: 1257.0509, usercpu_time_millis: 32.89, usercpu_time_millis_testing: 3.865, usercpu_time_millis_training: 29.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9189, kappa: 0.1563, kb_relative_information_score: -619.2635, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8638, scimark_benchmark: 1258.004, usercpu_time_millis: 9.569, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 8.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -720.7859, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9271, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.212, root_relative_squared_error: 0.8718, scimark_benchmark: 1259.4258, usercpu_time_millis: 68.562, usercpu_time_millis_testing: 6.628, usercpu_time_millis_training: 61.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -759.9457, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8724, scimark_benchmark: 1271.6226, usercpu_time_millis: 81.36, usercpu_time_millis_testing: 5.047, usercpu_time_millis_training: 76.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9289, kappa: 0.2819, kb_relative_information_score: -562.837, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.8423, scimark_benchmark: 1274.5552, usercpu_time_millis: 64.718, usercpu_time_millis_testing: 3.248, usercpu_time_millis_training: 61.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -780.0789, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8679, scimark_benchmark: 1279.7735, usercpu_time_millis: 56.657, usercpu_time_millis_testing: 4.128, usercpu_time_millis_training: 52.529,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9063, kb_relative_information_score: -991.0037, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9237, scimark_benchmark: 1272.5124, usercpu_time_millis: 17.631, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 16.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -696.0089, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1252.7286, usercpu_time_millis: 55.94, usercpu_time_millis_testing: 3.139, usercpu_time_millis_training: 52.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -696.6772, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9316, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.8612, scimark_benchmark: 1257.1036, usercpu_time_millis: 8.685, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 8.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -798.0048, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8762, scimark_benchmark: 1274.1821, usercpu_time_millis: 57.236, usercpu_time_millis_testing: 4.39, usercpu_time_millis_training: 52.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9202, kappa: 0.1692, kb_relative_information_score: -627.6885, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.8564, scimark_benchmark: 1263.433, usercpu_time_millis: 111.229, usercpu_time_millis_testing: 8.97, usercpu_time_millis_training: 102.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -608.5978, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1250.5748, usercpu_time_millis: 41.888, usercpu_time_millis_testing: 2.867, usercpu_time_millis_training: 39.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -580.1969, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8487, scimark_benchmark: 1258.6434, usercpu_time_millis: 93.572, usercpu_time_millis_testing: 6.879, usercpu_time_millis_training: 86.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9146, kappa: 0.1059, kb_relative_information_score: -710.3191, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9262, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.8643, scimark_benchmark: 1276.7375, usercpu_time_millis: 34.664, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 32.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -638.24, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8581, scimark_benchmark: 1276.4098, usercpu_time_millis: 83.95, usercpu_time_millis_testing: 5.479, usercpu_time_millis_training: 78.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -574.7952, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8457, scimark_benchmark: 1257.3786, usercpu_time_millis: 20.536, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 19.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -802.8375, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8898, scimark_benchmark: 1260.4792, usercpu_time_millis: 16.826, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 15.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -949.7975, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8974, scimark_benchmark: 1239.0256, usercpu_time_millis: 6.269, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 5.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.9063, kb_relative_information_score: -1130.6368, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9295, scimark_benchmark: 1251.15, usercpu_time_millis: 6.196, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 5.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -701.0685, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8568, scimark_benchmark: 1249.4166, usercpu_time_millis: 11.134, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 10.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -606.2033, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1270.5227, usercpu_time_millis: 57.215, usercpu_time_millis_testing: 3.359, usercpu_time_millis_training: 53.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -650.1295, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9245, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.8682, scimark_benchmark: 1270.3303, usercpu_time_millis: 50.069, usercpu_time_millis_testing: 4.955, usercpu_time_millis_training: 45.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9122, kappa: 0.0755, kb_relative_information_score: -797.5612, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9243, predictive_accuracy: 0.9384, prior_entropy: 0.3411, recall: 0.9384, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8721, scimark_benchmark: 1271.6152, usercpu_time_millis: 58.973, usercpu_time_millis_testing: 4.823, usercpu_time_millis_training: 54.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -635.2688, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.848, scimark_benchmark: 1250.4064, usercpu_time_millis: 86.306, usercpu_time_millis_testing: 4.019, usercpu_time_millis_training: 82.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -711.4887, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9311, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1267.713, usercpu_time_millis: 22.862, usercpu_time_millis_testing: 1.747, usercpu_time_millis_training: 21.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -707.4114, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9355, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8636, scimark_benchmark: 1254.993, usercpu_time_millis: 28.573, usercpu_time_millis_testing: 1.932, usercpu_time_millis_training: 26.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -861.5267, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8863, scimark_benchmark: 1250.7754, usercpu_time_millis: 28.687, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 26.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9211, kappa: 0.1838, kb_relative_information_score: -705.4562, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9333, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8516, scimark_benchmark: 1271.5162, usercpu_time_millis: 26.591, usercpu_time_millis_testing: 1.643, usercpu_time_millis_training: 24.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9166, kappa: 0.1277, kb_relative_information_score: -717.5762, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9323, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8648, scimark_benchmark: 1268.889, usercpu_time_millis: 59.956, usercpu_time_millis_testing: 4.287, usercpu_time_millis_training: 55.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.9063, kb_relative_information_score: -1084.296, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9158, scimark_benchmark: 1252.6693, usercpu_time_millis: 36.543, usercpu_time_millis_testing: 2.388, usercpu_time_millis_training: 34.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9278, kappa: 0.2716, kb_relative_information_score: -596.9397, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9334, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8433, scimark_benchmark: 1270.2095, usercpu_time_millis: 33.234, usercpu_time_millis_testing: 1.592, usercpu_time_millis_training: 31.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -661.5802, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9347, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8589, scimark_benchmark: 1254.9381, usercpu_time_millis: 40.656, usercpu_time_millis_testing: 3.051, usercpu_time_millis_training: 37.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -695.821, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9364, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, scimark_benchmark: 1271.4649, usercpu_time_millis: 12.918, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 11.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -671.9049, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8522, scimark_benchmark: 1257.9661, usercpu_time_millis: 77.346, usercpu_time_millis_testing: 4.317, usercpu_time_millis_training: 73.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.9063, kb_relative_information_score: -1341.2657, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9487, scimark_benchmark: 1271.3248, usercpu_time_millis: 18.118, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 16.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -632.3986, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9337, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8575, scimark_benchmark: 1253.4869, usercpu_time_millis: 80.341, usercpu_time_millis_testing: 5.975, usercpu_time_millis_training: 74.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.9063, kb_relative_information_score: -1172.695, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9303, scimark_benchmark: 1244.9428, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 4.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9063, kb_relative_information_score: -1085.2971, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9396, scimark_benchmark: 1257.8382, usercpu_time_millis: 36.3, usercpu_time_millis_testing: 3.492, usercpu_time_millis_training: 32.808,

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