OpenML
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: 0.8273, f_measure: 0.9063, kb_relative_information_score: -1091.2917, mean_absolute_error: 0.1104, 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: 0.9306, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.9517, scimark_benchmark: 1237.8987, usercpu_time_millis: 10.026, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 9.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -576.8967, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8459, scimark_benchmark: 1232.9013, usercpu_time_millis: 75.591, usercpu_time_millis_testing: 4.102, usercpu_time_millis_training: 71.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -678.5491, mean_absolute_error: 0.0941, 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: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.8552, scimark_benchmark: 1242.7132, usercpu_time_millis: 132.038, usercpu_time_millis_testing: 5.474, usercpu_time_millis_training: 126.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -664.9535, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1247.3285, usercpu_time_millis: 49.616, usercpu_time_millis_testing: 4.598, usercpu_time_millis_training: 45.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.9063, kb_relative_information_score: -1199.4431, 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: 0.8937, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.9278, scimark_benchmark: 1232.6728, usercpu_time_millis: 42.545, usercpu_time_millis_testing: 2.166, usercpu_time_millis_training: 40.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -765.2012, mean_absolute_error: 0.0961, 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: 0.81, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8723, scimark_benchmark: 1256.3571, usercpu_time_millis: 111.961, usercpu_time_millis_testing: 6.236, usercpu_time_millis_training: 105.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -706.9644, mean_absolute_error: 0.0978, 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: 0.8245, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8759, scimark_benchmark: 1228.3697, usercpu_time_millis: 35.34, usercpu_time_millis_testing: 3.155, usercpu_time_millis_training: 32.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9131, kappa: 0.0861, kb_relative_information_score: -740.9375, mean_absolute_error: 0.097, 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: 0.8175, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8694, scimark_benchmark: 1241.7388, usercpu_time_millis: 84.045, usercpu_time_millis_testing: 5.699, usercpu_time_millis_training: 78.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -805.5437, mean_absolute_error: 0.0972, 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: 0.8194, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.8726, scimark_benchmark: 1237.1754, usercpu_time_millis: 35.054, usercpu_time_millis_testing: 1.612, usercpu_time_millis_training: 33.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -788.2142, mean_absolute_error: 0.0982, 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: 0.8279, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.8748, scimark_benchmark: 1251.8304, usercpu_time_millis: 82.325, usercpu_time_millis_testing: 6.176, usercpu_time_millis_training: 76.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.9063, kb_relative_information_score: -1116.1262, 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: 0.9091, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9343, scimark_benchmark: 1237.0534, usercpu_time_millis: 30.101, usercpu_time_millis_testing: 2.755, usercpu_time_millis_training: 27.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.9145, kappa: 0.0992, kb_relative_information_score: -749.0161, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9376, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.8672, scimark_benchmark: 1251.0791, usercpu_time_millis: 71.827, usercpu_time_millis_testing: 3.52, usercpu_time_millis_training: 68.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -582.3139, mean_absolute_error: 0.0907, 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: 0.765, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8482, scimark_benchmark: 1235.0753, usercpu_time_millis: 13.179, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 12.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -3.6967, 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: 0.9966, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1232.6718, usercpu_time_millis: 7.523, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 6.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -797.8437, mean_absolute_error: 0.1004, 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: 0.8465, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.8869, scimark_benchmark: 1240.6104, usercpu_time_millis: 61.81, usercpu_time_millis_testing: 5.471, usercpu_time_millis_training: 56.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9237, kappa: 0.2176, kb_relative_information_score: -646.256, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9331, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.858, scimark_benchmark: 1248.8609, usercpu_time_millis: 162.315, usercpu_time_millis_testing: 7.436, usercpu_time_millis_training: 154.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.924, kappa: 0.2194, kb_relative_information_score: -603.6526, mean_absolute_error: 0.0923, 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: 0.7783, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8532, scimark_benchmark: 1250.9466, usercpu_time_millis: 17.281, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 16.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.925, kappa: 0.2302, kb_relative_information_score: -629.039, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9375, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.847, scimark_benchmark: 1241.4026, usercpu_time_millis: 153.915, usercpu_time_millis_testing: 8.7, usercpu_time_millis_training: 145.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -856.3091, mean_absolute_error: 0.0991, 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: 0.8353, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.8848, scimark_benchmark: 1247.4433, usercpu_time_millis: 65.285, usercpu_time_millis_testing: 5.07, usercpu_time_millis_training: 60.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9106, kappa: 0.0549, kb_relative_information_score: -775.5423, mean_absolute_error: 0.0983, 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: 0.8285, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.8727, scimark_benchmark: 1247.7156, usercpu_time_millis: 26.17, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 24.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9063, kb_relative_information_score: -1267.5661, 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: 0.9269, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9505, scimark_benchmark: 1252.2793, usercpu_time_millis: 27.416, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 24.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -638.2729, mean_absolute_error: 0.0955, 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: 0.8053, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.8647, scimark_benchmark: 1246.1736, usercpu_time_millis: 56.104, usercpu_time_millis_testing: 5.527, usercpu_time_millis_training: 50.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -749.7854, mean_absolute_error: 0.0993, 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: 0.837, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.215, root_relative_squared_error: 0.8842, scimark_benchmark: 1241.2363, usercpu_time_millis: 16.491, usercpu_time_millis_testing: 1.53, usercpu_time_millis_training: 14.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.9063, kb_relative_information_score: -1364.7642, 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: 0.2309, root_relative_squared_error: 0.9495, scimark_benchmark: 1263.8936, usercpu_time_millis: 17.591, usercpu_time_millis_testing: 1.225, usercpu_time_millis_training: 16.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -901.3357, mean_absolute_error: 0.0989, 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: 0.8335, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8866, scimark_benchmark: 1241.4837, usercpu_time_millis: 8.685, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 7.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.9063, kb_relative_information_score: -960.69, mean_absolute_error: 0.1049, 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: 0.8847, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9155, scimark_benchmark: 1245.4515, usercpu_time_millis: 44.29, usercpu_time_millis_testing: 5.501, usercpu_time_millis_training: 38.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.9063, kb_relative_information_score: -1092.1362, mean_absolute_error: 0.1056, 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: 0.8907, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9197, scimark_benchmark: 1247.4841, usercpu_time_millis: 28.88, usercpu_time_millis_testing: 2.588, usercpu_time_millis_training: 26.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.9063, kb_relative_information_score: -899.0423, mean_absolute_error: 0.1133, 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: 0.9551, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.9653, scimark_benchmark: 1252.4181, usercpu_time_millis: 24.928, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 21.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -639.6895, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469, scimark_benchmark: 1243.3285, usercpu_time_millis: 95.292, usercpu_time_millis_testing: 5.04, usercpu_time_millis_training: 90.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -876.8725, mean_absolute_error: 0.1003, 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: 0.8452, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.8881, scimark_benchmark: 1249.1678, usercpu_time_millis: 20.145, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 18.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -802.3316, mean_absolute_error: 0.0975, 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: 0.822, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8772, scimark_benchmark: 1244.8087, usercpu_time_millis: 97.295, usercpu_time_millis_testing: 6.124, usercpu_time_millis_training: 91.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.9063, kb_relative_information_score: -1198.8336, mean_absolute_error: 0.11, 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: 0.927, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9483, scimark_benchmark: 1243.7995, usercpu_time_millis: 3.394, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 2.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.923, kappa: 0.2043, kb_relative_information_score: -672.999, mean_absolute_error: 0.0945, 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: 0.7969, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1247.0033, usercpu_time_millis: 81.597, usercpu_time_millis_testing: 5.23, usercpu_time_millis_training: 76.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -590.5891, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.846, scimark_benchmark: 1248.6008, usercpu_time_millis: 112.088, usercpu_time_millis_testing: 5.96, usercpu_time_millis_training: 106.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -605.5924, mean_absolute_error: 0.0922, 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: 0.7776, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1234.0713, usercpu_time_millis: 104.855, usercpu_time_millis_testing: 5.263, usercpu_time_millis_training: 99.592,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -779.3888, 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: 0.8352, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.8795, scimark_benchmark: 1248.9129, usercpu_time_millis: 25.685, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 23.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -802.6436, mean_absolute_error: 0.0983, 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: 0.8284, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8774, scimark_benchmark: 1252.0958, usercpu_time_millis: 23.698, usercpu_time_millis_testing: 1.774, usercpu_time_millis_training: 21.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9238, kappa: 0.2136, kb_relative_information_score: -692.1908, mean_absolute_error: 0.0949, 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: 0.8, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8571, scimark_benchmark: 1247.5023, usercpu_time_millis: 92.732, usercpu_time_millis_testing: 5.625, usercpu_time_millis_training: 87.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -688.1487, mean_absolute_error: 0.0957, 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: 0.807, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8579, scimark_benchmark: 1240.3398, usercpu_time_millis: 92.784, usercpu_time_millis_testing: 6.443, usercpu_time_millis_training: 86.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.919, kappa: 0.1666, kb_relative_information_score: -858.296, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9232, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8746, scimark_benchmark: 1250.4969, usercpu_time_millis: 3.069, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 2.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -652.5507, 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: 0.7947, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8541, scimark_benchmark: 1252.9933, usercpu_time_millis: 134.545, usercpu_time_millis_testing: 8.022, usercpu_time_millis_training: 126.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.9063, kb_relative_information_score: -1072.4014, 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: 0.9398, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.9565, scimark_benchmark: 1251.4669, usercpu_time_millis: 2.607, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 2.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9255, kappa: 0.2374, kb_relative_information_score: -633.268, mean_absolute_error: 0.0928, 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: 0.7828, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.848, scimark_benchmark: 1251.8899, usercpu_time_millis: 130.921, usercpu_time_millis_testing: 6.843, usercpu_time_millis_training: 124.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -961.7706, mean_absolute_error: 0.1029, 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: 0.8674, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9047, scimark_benchmark: 1248.0535, usercpu_time_millis: 64.113, usercpu_time_millis_testing: 5.242, usercpu_time_millis_training: 58.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -604.8446, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8543, scimark_benchmark: 1247.0343, usercpu_time_millis: 58.142, usercpu_time_millis_testing: 4.728, usercpu_time_millis_training: 53.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.9092, kappa: 0.0346, kb_relative_information_score: -878.4113, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9419, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8846, scimark_benchmark: 1246.4446, usercpu_time_millis: 55.153, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 50.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -615.8434, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8526, scimark_benchmark: 1244.3216, usercpu_time_millis: 39.121, usercpu_time_millis_testing: 3.2, usercpu_time_millis_training: 35.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -753.666, mean_absolute_error: 0.097, 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: 0.8178, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8677, scimark_benchmark: 1251.3468, usercpu_time_millis: 93.946, usercpu_time_millis_testing: 5.871, usercpu_time_millis_training: 88.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9243, kappa: 0.2211, kb_relative_information_score: -628.9188, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9367, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8562, scimark_benchmark: 1250.5784, usercpu_time_millis: 31.489, usercpu_time_millis_testing: 1.675, usercpu_time_millis_training: 29.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.9063, kb_relative_information_score: -1217.8437, mean_absolute_error: 0.1073, 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: 0.9048, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.9341, scimark_benchmark: 1250.554, usercpu_time_millis: 29.979, usercpu_time_millis_testing: 1.63, usercpu_time_millis_training: 28.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -560.4116, mean_absolute_error: 0.0919, 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: 0.7747, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.8459, scimark_benchmark: 1242.9553, usercpu_time_millis: 25.066, usercpu_time_millis_testing: 2.03, usercpu_time_millis_training: 23.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -800.4778, mean_absolute_error: 0.0968, 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: 0.8159, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8762, scimark_benchmark: 1237.4522, usercpu_time_millis: 23.236, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 22.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.9063, kb_relative_information_score: -1067.6236, 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: 0.8993, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9274, scimark_benchmark: 1247.7137, usercpu_time_millis: 53.437, usercpu_time_millis_testing: 5.773, usercpu_time_millis_training: 47.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -713.4592, mean_absolute_error: 0.0978, 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: 0.8244, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8723, scimark_benchmark: 1255.7014, usercpu_time_millis: 53.904, usercpu_time_millis_testing: 4.708, usercpu_time_millis_training: 49.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -908.8877, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.8973, scimark_benchmark: 1257.2823, usercpu_time_millis: 51.498, usercpu_time_millis_testing: 5.331, usercpu_time_millis_training: 46.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9269, kappa: 0.25, kb_relative_information_score: -652.4799, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9408, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8475, scimark_benchmark: 1218.8055, usercpu_time_millis: 108.904, usercpu_time_millis_testing: 5.757, usercpu_time_millis_training: 103.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.9063, kb_relative_information_score: -1114.1301, 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: 0.9218, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9435, scimark_benchmark: 1245.6182, usercpu_time_millis: 31.31, usercpu_time_millis_testing: 3.162, usercpu_time_millis_training: 28.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.9264, kappa: 0.2547, kb_relative_information_score: -605.5888, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8464, scimark_benchmark: 1246.6721, usercpu_time_millis: 24.026, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 22.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.9063, kb_relative_information_score: -1219.3928, mean_absolute_error: 0.1097, 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: 0.9252, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9473, scimark_benchmark: 1247.547, usercpu_time_millis: 20.343, usercpu_time_millis_testing: 1.816, usercpu_time_millis_training: 18.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1013.0077, mean_absolute_error: 0.1037, 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: 0.8741, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9114, scimark_benchmark: 1240.3183, usercpu_time_millis: 13.04, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 11.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1074.0399, 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: 0.8757, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9122, scimark_benchmark: 1252.5116, usercpu_time_millis: 12.622, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 11.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -867.6051, mean_absolute_error: 0.1003, 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: 0.8458, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.8864, scimark_benchmark: 1247.0197, usercpu_time_millis: 11.849, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 11.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -554.7756, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8446, scimark_benchmark: 1209.0771, usercpu_time_millis: 76.295, usercpu_time_millis_testing: 5.426, usercpu_time_millis_training: 70.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -935.2378, mean_absolute_error: 0.1018, 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: 0.8584, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.219, root_relative_squared_error: 0.9003, scimark_benchmark: 1251.4853, usercpu_time_millis: 63.306, usercpu_time_millis_testing: 5.334, usercpu_time_millis_training: 57.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -678.1705, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9345, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8587, scimark_benchmark: 1242.059, usercpu_time_millis: 70.32, usercpu_time_millis_testing: 4.989, usercpu_time_millis_training: 65.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.9214, kappa: 0.1854, kb_relative_information_score: -590.0001, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9356, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497, scimark_benchmark: 1258.1286, usercpu_time_millis: 44.139, usercpu_time_millis_testing: 3.368, usercpu_time_millis_training: 40.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -780.7951, mean_absolute_error: 0.0962, 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: 0.8108, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.8733, scimark_benchmark: 1222.5759, usercpu_time_millis: 111.764, usercpu_time_millis_testing: 4.832, usercpu_time_millis_training: 106.932,

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