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: 0.8879, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -969.3112, mean_absolute_error: 0.1037, 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: 0.8741, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9089, scimark_benchmark: 1246.4604, usercpu_time_millis: 15.652, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 14.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9275, kappa: 0.262, kb_relative_information_score: -639.5299, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8455, scimark_benchmark: 1243.1506, usercpu_time_millis: 96.528, usercpu_time_millis_testing: 4.143, usercpu_time_millis_training: 92.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -790.5262, mean_absolute_error: 0.0996, 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: 0.8394, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8809, scimark_benchmark: 1264.2042, usercpu_time_millis: 9.122, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 8.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.9063, kb_relative_information_score: -1064.8812, 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: 0.9338, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9548, scimark_benchmark: 1240.9937, usercpu_time_millis: 9.118, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 8.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -845.1203, mean_absolute_error: 0.0983, 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: 0.829, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.875, scimark_benchmark: 1271.4719, usercpu_time_millis: 3.63, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 3.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.9063, kb_relative_information_score: -1132.6173, mean_absolute_error: 0.1071, 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: 0.9026, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9293, scimark_benchmark: 1266.9398, usercpu_time_millis: 2.977, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 2.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.9247, kappa: 0.2321, kb_relative_information_score: -571.3009, mean_absolute_error: 0.0914, 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: 0.7706, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.849, scimark_benchmark: 1248.8702, usercpu_time_millis: 87.425, usercpu_time_millis_testing: 4.162, usercpu_time_millis_training: 83.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -627.1837, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8636, scimark_benchmark: 1254.7039, usercpu_time_millis: 82.48, usercpu_time_millis_testing: 7.778, usercpu_time_millis_training: 74.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -598.0128, mean_absolute_error: 0.0923, 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: 0.7782, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8484, scimark_benchmark: 1273.9821, usercpu_time_millis: 71.519, usercpu_time_millis_testing: 4.359, usercpu_time_millis_training: 67.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -683.0227, mean_absolute_error: 0.0972, 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: 0.8191, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8713, scimark_benchmark: 1247.8764, usercpu_time_millis: 60.746, usercpu_time_millis_testing: 5.917, usercpu_time_millis_training: 54.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -602.1435, mean_absolute_error: 0.0932, 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: 0.7855, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8525, scimark_benchmark: 1265.5192, usercpu_time_millis: 62.614, usercpu_time_millis_testing: 4.725, usercpu_time_millis_training: 57.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.9063, kb_relative_information_score: -1200.1165, 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: 0.8968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.226, root_relative_squared_error: 0.9291, scimark_benchmark: 1269.3776, usercpu_time_millis: 57.608, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 54.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.9063, kb_relative_information_score: -1057.1113, mean_absolute_error: 0.1043, 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: 0.8796, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9121, scimark_benchmark: 1249.0199, usercpu_time_millis: 40.454, usercpu_time_millis_testing: 3.292, usercpu_time_millis_training: 37.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.9063, kb_relative_information_score: -952.3364, mean_absolute_error: 0.1051, 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: 0.8858, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9158, scimark_benchmark: 1255.7021, usercpu_time_millis: 36.585, usercpu_time_millis_testing: 3.486, usercpu_time_millis_training: 33.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9063, kb_relative_information_score: -1125.1838, mean_absolute_error: 0.1105, 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: 0.9313, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9491, scimark_benchmark: 1263.3813, usercpu_time_millis: 30.132, usercpu_time_millis_testing: 3.035, usercpu_time_millis_training: 27.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.9063, kb_relative_information_score: -1342.2489, mean_absolute_error: 0.1089, 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: 0.918, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9446, scimark_benchmark: 1261.4663, usercpu_time_millis: 29.098, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 27.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9289, kappa: 0.2819, kb_relative_information_score: -552.8512, mean_absolute_error: 0.09, 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: 0.7592, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.842, scimark_benchmark: 1261.08, usercpu_time_millis: 163.633, usercpu_time_millis_testing: 7.882, usercpu_time_millis_training: 155.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -974.472, mean_absolute_error: 0.1032, 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: 0.8705, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9045, scimark_benchmark: 1250.3321, usercpu_time_millis: 19.34, usercpu_time_millis_testing: 1.701, usercpu_time_millis_training: 17.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -798.3203, 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: 0.2159, root_relative_squared_error: 0.8879, scimark_benchmark: 1267.2807, usercpu_time_millis: 21.002, usercpu_time_millis_testing: 2.108, usercpu_time_millis_training: 18.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -688.1959, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8653, scimark_benchmark: 1244.6195, usercpu_time_millis: 89.707, usercpu_time_millis_testing: 5.813, usercpu_time_millis_training: 83.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -823.2042, 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: 0.8277, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8811, scimark_benchmark: 1253.2028, usercpu_time_millis: 82.972, usercpu_time_millis_testing: 6.376, usercpu_time_millis_training: 76.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.914, kappa: 0.0967, kb_relative_information_score: -733.6052, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9281, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8652, scimark_benchmark: 1267.5507, usercpu_time_millis: 57.203, usercpu_time_millis_testing: 4.684, usercpu_time_millis_training: 52.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.9063, kb_relative_information_score: -1017.3698, mean_absolute_error: 0.1047, 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: 0.8825, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.9154, scimark_benchmark: 1248.3845, usercpu_time_millis: 33.781, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 30.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -691.2918, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1258.7645, usercpu_time_millis: 99.81, usercpu_time_millis_testing: 5.333, usercpu_time_millis_training: 94.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9183, kappa: 0.1479, kb_relative_information_score: -647.1255, mean_absolute_error: 0.0945, 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: 0.7968, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8581, scimark_benchmark: 1266.8721, usercpu_time_millis: 29.715, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 27.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9118, kappa: 0.0669, kb_relative_information_score: -701.3072, mean_absolute_error: 0.097, 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: 0.8182, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.8697, scimark_benchmark: 1266.0469, usercpu_time_millis: 76.811, usercpu_time_millis_testing: 7.506, usercpu_time_millis_training: 69.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9108, kappa: 0.0559, kb_relative_information_score: -733.5224, mean_absolute_error: 0.0963, 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: 0.8118, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8702, scimark_benchmark: 1246.675, usercpu_time_millis: 96.436, usercpu_time_millis_testing: 5.879, usercpu_time_millis_training: 90.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.9244, kappa: 0.2304, kb_relative_information_score: -640.3638, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.8562, scimark_benchmark: 1267.9331, usercpu_time_millis: 71.256, usercpu_time_millis_testing: 3.069, usercpu_time_millis_training: 68.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -731.902, mean_absolute_error: 0.0983, 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: 0.8287, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.8746, scimark_benchmark: 1257.7962, usercpu_time_millis: 91.637, usercpu_time_millis_testing: 8.405, usercpu_time_millis_training: 83.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9208, kappa: 0.1773, kb_relative_information_score: -624.6387, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8555, scimark_benchmark: 1248.1475, usercpu_time_millis: 90.619, usercpu_time_millis_testing: 7.576, usercpu_time_millis_training: 83.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9257, kappa: 0.2427, kb_relative_information_score: -657.2805, mean_absolute_error: 0.0927, 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: 0.7815, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1260.1664, usercpu_time_millis: 14.703, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 13.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.9088, kappa: 0.0327, kb_relative_information_score: -815.3759, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9166, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.213, root_relative_squared_error: 0.8757, scimark_benchmark: 1247.376, usercpu_time_millis: 15.011, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 13.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -554.7032, mean_absolute_error: 0.0913, 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: 0.77, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8446, scimark_benchmark: 1266.3853, usercpu_time_millis: 116.33, usercpu_time_millis_testing: 8.181, usercpu_time_millis_training: 108.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.916, kappa: 0.1188, kb_relative_information_score: -685.7695, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1244.4439, usercpu_time_millis: 69.291, usercpu_time_millis_testing: 5.51, usercpu_time_millis_training: 63.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9258, kappa: 0.2392, kb_relative_information_score: -639.3095, mean_absolute_error: 0.0929, 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: 0.7831, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.8463, scimark_benchmark: 1269.3382, usercpu_time_millis: 159.053, usercpu_time_millis_testing: 7.657, usercpu_time_millis_training: 151.396,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9136, kappa: 0.0885, kb_relative_information_score: -714.0391, mean_absolute_error: 0.0965, 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: 0.8139, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8675, scimark_benchmark: 1259.9176, usercpu_time_millis: 37.671, usercpu_time_millis_testing: 2.883, usercpu_time_millis_training: 34.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -728.1735, mean_absolute_error: 0.0962, 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: 0.8108, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.8693, scimark_benchmark: 1268.4519, usercpu_time_millis: 96.598, usercpu_time_millis_testing: 6.69, usercpu_time_millis_training: 89.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9157, kappa: 0.1175, kb_relative_information_score: -699.1738, mean_absolute_error: 0.0959, 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: 0.8089, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8618, scimark_benchmark: 1269.2717, usercpu_time_millis: 29.202, usercpu_time_millis_testing: 2.186, usercpu_time_millis_training: 27.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -550.192, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.8412, scimark_benchmark: 1240.0006, usercpu_time_millis: 127.793, usercpu_time_millis_testing: 6.043, usercpu_time_millis_training: 121.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.9063, kb_relative_information_score: -908.8046, mean_absolute_error: 0.1026, 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: 0.8647, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9024, scimark_benchmark: 1246.0037, usercpu_time_millis: 51.764, usercpu_time_millis_testing: 4.957, usercpu_time_millis_training: 46.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -774.0607, mean_absolute_error: 0.098, 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: 0.8262, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8768, scimark_benchmark: 1263.411, usercpu_time_millis: 50.507, usercpu_time_millis_testing: 4.46, usercpu_time_millis_training: 46.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.9063, kb_relative_information_score: -1283.3297, mean_absolute_error: 0.1085, 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: 0.915, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9421, scimark_benchmark: 1248.135, usercpu_time_millis: 40.51, usercpu_time_millis_testing: 2.649, usercpu_time_millis_training: 37.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -831.4094, mean_absolute_error: 0.0978, 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: 0.8249, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.8771, scimark_benchmark: 1245.6853, usercpu_time_millis: 103.615, usercpu_time_millis_testing: 4.484, usercpu_time_millis_training: 99.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9245, kappa: 0.2228, kb_relative_information_score: -630.9049, mean_absolute_error: 0.0934, 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: 0.7874, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8495, scimark_benchmark: 1259.5576, usercpu_time_millis: 120.835, usercpu_time_millis_testing: 6.925, usercpu_time_millis_training: 113.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9222, kappa: 0.1949, kb_relative_information_score: -623.2753, mean_absolute_error: 0.094, 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: 0.7929, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8536, scimark_benchmark: 1270.3779, usercpu_time_millis: 41.08, usercpu_time_millis_testing: 2.901, usercpu_time_millis_training: 38.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9266, kappa: 0.2482, kb_relative_information_score: -656.872, mean_absolute_error: 0.0934, 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: 0.7875, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8505, scimark_benchmark: 1269.3685, usercpu_time_millis: 49.347, usercpu_time_millis_testing: 2.421, usercpu_time_millis_training: 46.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -800.7097, mean_absolute_error: 0.099, 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: 0.8347, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.8826, scimark_benchmark: 1265.4083, usercpu_time_millis: 63.92, usercpu_time_millis_testing: 5.233, usercpu_time_millis_training: 58.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9115, kappa: 0.0658, kb_relative_information_score: -808.9425, mean_absolute_error: 0.0992, 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: 0.8361, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8764, scimark_benchmark: 1270.2502, usercpu_time_millis: 42.262, usercpu_time_millis_testing: 3.169, usercpu_time_millis_training: 39.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -632.1934, mean_absolute_error: 0.0926, 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: 0.7811, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8472, scimark_benchmark: 1262.8703, usercpu_time_millis: 61.376, usercpu_time_millis_testing: 3.164, usercpu_time_millis_training: 58.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -867.0484, mean_absolute_error: 0.1007, 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: 0.8488, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.8916, scimark_benchmark: 1268.9109, usercpu_time_millis: 24.827, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 22.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -815.6707, mean_absolute_error: 0.0994, 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: 0.8377, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.8811, scimark_benchmark: 1250.7522, usercpu_time_millis: 42.996, usercpu_time_millis_testing: 3.435, usercpu_time_millis_training: 39.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.92, kappa: 0.1676, kb_relative_information_score: -669.8291, mean_absolute_error: 0.0936, 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: 0.7888, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.8582, scimark_benchmark: 1252.4015, usercpu_time_millis: 13.608, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 12.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9253, kappa: 0.2356, kb_relative_information_score: -620.0484, mean_absolute_error: 0.0921, 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: 0.7767, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.8537, scimark_benchmark: 1256.5984, usercpu_time_millis: 125.283, usercpu_time_millis_testing: 5.092, usercpu_time_millis_training: 120.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.926, kappa: 0.2445, kb_relative_information_score: -596.7064, mean_absolute_error: 0.0923, 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: 0.7779, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.8483, scimark_benchmark: 1261.4292, usercpu_time_millis: 125.157, usercpu_time_millis_testing: 6.077, usercpu_time_millis_training: 119.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9142, kappa: 0.0979, kb_relative_information_score: -615.1993, 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: 0.7987, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8619, scimark_benchmark: 1257.2999, usercpu_time_millis: 102.651, usercpu_time_millis_testing: 9.264, usercpu_time_millis_training: 93.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9169, kappa: 0.1291, kb_relative_information_score: -681.1157, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.936, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.8654, scimark_benchmark: 1254.296, usercpu_time_millis: 27.709, usercpu_time_millis_testing: 2.236, usercpu_time_millis_training: 25.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -590.8558, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8466, scimark_benchmark: 1260.2984, usercpu_time_millis: 36.635, usercpu_time_millis_testing: 2.512, usercpu_time_millis_training: 34.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9127, kappa: 0.0778, kb_relative_information_score: -703.8344, mean_absolute_error: 0.0967, 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: 0.8154, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8681, scimark_benchmark: 1263.4011, usercpu_time_millis: 17.099, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 15.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9278, kappa: 0.2639, kb_relative_information_score: -562.6214, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9387, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8433, scimark_benchmark: 1273.6192, usercpu_time_millis: 94.317, usercpu_time_millis_testing: 6.393, usercpu_time_millis_training: 87.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9063, kb_relative_information_score: -1177.4849, 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: 0.9227, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.943, scimark_benchmark: 1260.6638, usercpu_time_millis: 33.644, usercpu_time_millis_testing: 2.985, usercpu_time_millis_training: 30.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.9063, kb_relative_information_score: -1139.5729, 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: 0.8956, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9276, scimark_benchmark: 1239.143, usercpu_time_millis: 3.066, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -826.5979, 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: 0.8221, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.8788, scimark_benchmark: 1264.5092, usercpu_time_millis: 21.59, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 20.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9197, kappa: 0.1661, kb_relative_information_score: -677.6234, mean_absolute_error: 0.0946, 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: 0.7973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8554, scimark_benchmark: 1269.7415, usercpu_time_millis: 11.843, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 10.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9063, kb_relative_information_score: -62.4296, mean_absolute_error: 0.1185, 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: 0.9991, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1277.7479, usercpu_time_millis: 2.387, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 2.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9224, kappa: 0.2009, kb_relative_information_score: -622.7995, mean_absolute_error: 0.0923, 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: 0.7786, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.208, root_relative_squared_error: 0.855, scimark_benchmark: 1267.6582, usercpu_time_millis: 60.678, usercpu_time_millis_testing: 3.197, usercpu_time_millis_training: 57.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.9063, kb_relative_information_score: -1024.4012, 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: 0.9264, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9448, scimark_benchmark: 1264.6876, usercpu_time_millis: 40.447, usercpu_time_millis_testing: 4.563, usercpu_time_millis_training: 35.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.9124, kappa: 0.0766, kb_relative_information_score: -654.9685, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9388, prior_entropy: 0.3411, recall: 0.9388, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.8664, scimark_benchmark: 1249.1416, usercpu_time_millis: 104.138, usercpu_time_millis_testing: 9.222, usercpu_time_millis_training: 94.916,

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