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: 0.7644, f_measure: 0.9063, kb_relative_information_score: -1460.719, mean_absolute_error: 0.1115, 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: 0.9404, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.9674, scimark_benchmark: 2104.9131, usercpu_time_millis: 1.892, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -918.6943, mean_absolute_error: 0.1002, 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: 0.8446, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8897, scimark_benchmark: 1835.5512, usercpu_time_millis: 8.151, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 7.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.9063, kb_relative_information_score: -1274.0398, mean_absolute_error: 0.1099, 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: 0.9266, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9472, scimark_benchmark: 1834.2445, usercpu_time_millis: 6.817, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 6.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.9063, kb_relative_information_score: -1258.0356, mean_absolute_error: 0.1061, 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: 0.8949, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.9282, scimark_benchmark: 1236.7436, usercpu_time_millis: 31.92, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 30.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9172, kappa: 0.1364, kb_relative_information_score: -957.5972, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9304, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8777, scimark_benchmark: 1724.8648, usercpu_time_millis: 56.621, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 55.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -724.3838, mean_absolute_error: 0.0934, 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: 0.7875, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8533, scimark_benchmark: 1847.3406, usercpu_time_millis: 60.562, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 59.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -968.1192, mean_absolute_error: 0.0973, 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: 0.8206, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8881, scimark_benchmark: 1706.8723, usercpu_time_millis: 1.712, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 1.4549, mean_absolute_error: 0.1182, 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: 0.9968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 2.019, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.9059, kappa: -0.0016, kb_relative_information_score: -1231.7403, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9361, prior_entropy: 0.3411, recall: 0.9361, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9152, scimark_benchmark: 1249.7875, usercpu_time_millis: 1.296, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9235, kappa: 0.2119, kb_relative_information_score: -561.69, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9359, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1844.2676, usercpu_time_millis: 8.361, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 7.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.9063, kb_relative_information_score: -1545.0219, mean_absolute_error: 0.1094, 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: 0.9224, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9502, scimark_benchmark: 1845.264, usercpu_time_millis: 40.549, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 39.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -805.7004, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.939, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1723.9607, usercpu_time_millis: 105.44, usercpu_time_millis_testing: 1.932, usercpu_time_millis_training: 103.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.92, kappa: 0.1775, kb_relative_information_score: -1124.5794, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9259, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9016, scimark_benchmark: 1848.3976, usercpu_time_millis: 0.579, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9244, kappa: 0.2504, kb_relative_information_score: -852.8869, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9226, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8776, scimark_benchmark: 1724.5312, usercpu_time_millis: 4.769, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 4.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9063, kb_relative_information_score: -1161.6415, mean_absolute_error: 0.1042, 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: 0.8786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9191, scimark_benchmark: 1852.0126, usercpu_time_millis: 3.613, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 3.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -791.633, mean_absolute_error: 0.0963, 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: 0.8118, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8698, scimark_benchmark: 1835.1337, usercpu_time_millis: 8.018, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 7.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.9063, kb_relative_information_score: -1149.6954, mean_absolute_error: 0.1048, 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: 0.8838, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.9175, scimark_benchmark: 1719.0439, usercpu_time_millis: 21.307, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 20.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.9063, kb_relative_information_score: -1588.6558, mean_absolute_error: 0.1094, 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: 0.922, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9509, scimark_benchmark: 1848.916, usercpu_time_millis: 29.351, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 29.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -772.5463, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1851.4874, usercpu_time_millis: 108.65, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 107.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9063, kb_relative_information_score: 2.4686, 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: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 2.252, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: -1.9821, 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: 0.997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1727.1069, usercpu_time_millis: 2.289, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -982.6824, mean_absolute_error: 0.099, 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: 0.8349, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8806, scimark_benchmark: 1850.8706, usercpu_time_millis: 83.136, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 81.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1851.0486, mean_absolute_error: 0.1106, 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: 0.9328, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.9671, scimark_benchmark: 1725.3223, usercpu_time_millis: 11.062, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 10.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9271, kappa: 0.2632, kb_relative_information_score: -697.9681, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.8546, scimark_benchmark: 1851.3986, usercpu_time_millis: 15.758, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 15.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -671.8634, mean_absolute_error: 0.0941, 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: 0.7936, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854, scimark_benchmark: 1842.1882, usercpu_time_millis: 16.457, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 15.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.93, kappa: 0.3069, kb_relative_information_score: -761.8765, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9314, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.867, scimark_benchmark: 1841.7343, usercpu_time_millis: 38.387, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 37.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.9063, kb_relative_information_score: -1675.7144, mean_absolute_error: 0.1098, 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: 0.926, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.9562, scimark_benchmark: 1851.4874, usercpu_time_millis: 53.759, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 52.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -1019.7882, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.8831, scimark_benchmark: 1236.0866, usercpu_time_millis: 59.376, usercpu_time_millis_testing: 1.703, usercpu_time_millis_training: 57.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 5.1841, mean_absolute_error: 0.1182, 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: 0.9962, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 2.128, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.9063, kb_relative_information_score: -1052.1339, mean_absolute_error: 0.1048, 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: 0.8836, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9157, scimark_benchmark: 1846.6923, usercpu_time_millis: 2.756, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 2.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9269, kappa: 0.2583, kb_relative_information_score: -582.2524, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.8441, scimark_benchmark: 1284.3557, usercpu_time_millis: 167.975, usercpu_time_millis_testing: 7.199, usercpu_time_millis_training: 160.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -628.3111, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8453, scimark_benchmark: 1257.6407, usercpu_time_millis: 174.202, usercpu_time_millis_testing: 8.135, usercpu_time_millis_training: 166.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -923.6867, mean_absolute_error: 0.0946, 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: 0.7978, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1258.3533, usercpu_time_millis: 2.849, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 2.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9219, kappa: 0.1932, kb_relative_information_score: -648.0084, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8512, scimark_benchmark: 1275.983, usercpu_time_millis: 67.086, usercpu_time_millis_testing: 4.337, usercpu_time_millis_training: 62.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -666.5226, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8617, scimark_benchmark: 1278.4887, usercpu_time_millis: 93.913, usercpu_time_millis_testing: 8.453, usercpu_time_millis_training: 85.46,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -630.0093, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1257.2105, usercpu_time_millis: 124.046, usercpu_time_millis_testing: 5.878, usercpu_time_millis_training: 118.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -567.4729, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9341, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.845, scimark_benchmark: 1273.0795, usercpu_time_millis: 150.726, usercpu_time_millis_testing: 8.27, usercpu_time_millis_training: 142.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -641.1044, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.85, scimark_benchmark: 1270.9044, usercpu_time_millis: 115.484, usercpu_time_millis_testing: 5.341, usercpu_time_millis_training: 110.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.9063, kb_relative_information_score: -1088.2329, mean_absolute_error: 0.1078, 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: 0.9085, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.935, scimark_benchmark: 1276.7069, usercpu_time_millis: 12.249, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 10.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.9063, kb_relative_information_score: -1009.5367, mean_absolute_error: 0.106, 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: 0.8933, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.9218, scimark_benchmark: 1262.3456, usercpu_time_millis: 44.773, usercpu_time_millis_testing: 4.48, usercpu_time_millis_training: 40.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -632.9385, mean_absolute_error: 0.0942, 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: 0.794, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8554, scimark_benchmark: 1254.6214, usercpu_time_millis: 136.796, usercpu_time_millis_testing: 10.174, usercpu_time_millis_training: 126.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -650.8638, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.938, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8503, scimark_benchmark: 1263.4092, usercpu_time_millis: 75.314, usercpu_time_millis_testing: 3.749, usercpu_time_millis_training: 71.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.9063, kb_relative_information_score: -1118.6305, mean_absolute_error: 0.1102, 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: 0.9287, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9501, scimark_benchmark: 1276.0844, usercpu_time_millis: 36.166, usercpu_time_millis_testing: 3.53, usercpu_time_millis_training: 32.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.9063, kb_relative_information_score: -1082.9718, mean_absolute_error: 0.1054, 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: 0.8888, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9199, scimark_benchmark: 1267.8286, usercpu_time_millis: 2.772, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 2.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9178, kappa: 0.145, kb_relative_information_score: -692.0679, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.929, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1261.5236, usercpu_time_millis: 8.782, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 8.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9177, kappa: 0.1393, kb_relative_information_score: -739.7862, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9369, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8632, scimark_benchmark: 1279.6119, usercpu_time_millis: 72.468, usercpu_time_millis_testing: 5.502, usercpu_time_millis_training: 66.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9181, kappa: 0.1464, kb_relative_information_score: -591.305, mean_absolute_error: 0.094, 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: 0.7923, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1273.1369, usercpu_time_millis: 26.914, usercpu_time_millis_testing: 2.389, usercpu_time_millis_training: 24.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -865.7774, mean_absolute_error: 0.0974, 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: 0.821, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.8808, scimark_benchmark: 1253.9387, usercpu_time_millis: 19.66, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 18.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -639.9761, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.8478, scimark_benchmark: 1263.0023, usercpu_time_millis: 105.236, usercpu_time_millis_testing: 6.318, usercpu_time_millis_training: 98.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -800.0949, mean_absolute_error: 0.1007, 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: 0.8493, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8892, scimark_benchmark: 1283.0095, usercpu_time_millis: 10.702, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 9.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9191, kappa: 0.1578, kb_relative_information_score: -679.0809, mean_absolute_error: 0.0955, 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: 0.8052, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 1273.2561, usercpu_time_millis: 92.008, usercpu_time_millis_testing: 6.439, usercpu_time_millis_training: 85.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9205, kappa: 0.1758, kb_relative_information_score: -653.1368, mean_absolute_error: 0.0949, 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: 0.7997, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8552, scimark_benchmark: 1278.6147, usercpu_time_millis: 64.964, usercpu_time_millis_testing: 4.715, usercpu_time_millis_training: 60.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -779.3992, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8712, scimark_benchmark: 1258.4532, usercpu_time_millis: 71.467, usercpu_time_millis_testing: 4.742, usercpu_time_millis_training: 66.725,
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: 0.8962, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -855.7497, mean_absolute_error: 0.1018, 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: 0.8584, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.8948, scimark_benchmark: 1277.079, usercpu_time_millis: 49.535, usercpu_time_millis_testing: 4.345, usercpu_time_millis_training: 45.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.9063, kb_relative_information_score: -1004.6567, mean_absolute_error: 0.1108, 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: 0.9339, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.9504, scimark_benchmark: 1275.9293, usercpu_time_millis: 13.333, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 12.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1092.5304, mean_absolute_error: 0.104, 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: 0.8765, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.9149, scimark_benchmark: 1277.0636, usercpu_time_millis: 37.858, usercpu_time_millis_testing: 2.412, usercpu_time_millis_training: 35.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.9063, kb_relative_information_score: -1206.3153, mean_absolute_error: 0.1093, 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: 0.9214, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9441, scimark_benchmark: 1257.0987, usercpu_time_millis: 26.525, usercpu_time_millis_testing: 2.256, usercpu_time_millis_training: 24.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.9063, kb_relative_information_score: -1099.9639, mean_absolute_error: 0.1057, 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: 0.8913, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9198, scimark_benchmark: 1254.5041, usercpu_time_millis: 37.892, usercpu_time_millis_testing: 2.943, usercpu_time_millis_training: 34.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -825.9803, mean_absolute_error: 0.0991, 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: 0.8358, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8786, scimark_benchmark: 1250.2505, usercpu_time_millis: 65.911, usercpu_time_millis_testing: 5.248, usercpu_time_millis_training: 60.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -692.7399, mean_absolute_error: 0.0971, 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: 0.8184, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.8708, scimark_benchmark: 1279.8894, usercpu_time_millis: 74.433, usercpu_time_millis_testing: 6.349, usercpu_time_millis_training: 68.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9063, kb_relative_information_score: -1131.4228, mean_absolute_error: 0.1074, 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: 0.9053, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9332, scimark_benchmark: 1263.3503, usercpu_time_millis: 6.739, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 6.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -660.8994, mean_absolute_error: 0.0955, 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: 0.8052, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.8631, scimark_benchmark: 1273.0294, usercpu_time_millis: 25.008, usercpu_time_millis_testing: 2.485, usercpu_time_millis_training: 22.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.9063, kb_relative_information_score: -1090.5369, mean_absolute_error: 0.1113, 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: 0.9386, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9542, scimark_benchmark: 1276.7581, usercpu_time_millis: 22.721, usercpu_time_millis_testing: 2.156, usercpu_time_millis_training: 20.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -647.9438, mean_absolute_error: 0.0928, 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: 0.7823, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8579, scimark_benchmark: 1252.777, usercpu_time_millis: 9.249, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 8.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -893.6332, mean_absolute_error: 0.0998, 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: 0.2163, root_relative_squared_error: 0.8894, scimark_benchmark: 1276.707, usercpu_time_millis: 27.709, usercpu_time_millis_testing: 1.995, usercpu_time_millis_training: 25.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -778.6772, mean_absolute_error: 0.0972, 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: 0.8196, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8704, scimark_benchmark: 1274.5684, usercpu_time_millis: 106.562, usercpu_time_millis_testing: 5.767, usercpu_time_millis_training: 100.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -785.7525, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8727, scimark_benchmark: 1253.6091, usercpu_time_millis: 45.958, usercpu_time_millis_testing: 2.828, usercpu_time_millis_training: 43.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.9063, kb_relative_information_score: -1325.9441, mean_absolute_error: 0.1093, 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: 0.9213, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9461, scimark_benchmark: 1265.4291, usercpu_time_millis: 37.38, usercpu_time_millis_testing: 2.578, usercpu_time_millis_training: 34.802,

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

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

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From your own software

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

OpenML APIs