OpenML
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 1776 Supervised Classification mfeat-factors 300 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, build_cpu_time: 0.0747, build_memory: 84644770.4, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 1.0945, build_memory: 69125672.8, f_measure: 0.9558, kappa: 0.9509, kb_relative_information_score: 9500.8405, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 3.3219, recall: 0.9558, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.312, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 1.142, build_memory: 254453804, f_measure: 0.9558, kappa: 0.9509, kb_relative_information_score: 9500.8405, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 3.3219, recall: 0.9558, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.312, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, build_cpu_time: 20.8801, build_memory: 941923879.2, f_measure: 0.9623, kappa: 0.9581, kb_relative_information_score: 9609.5163, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9625, predictive_accuracy: 0.9623, prior_entropy: 3.3219, recall: 0.9623, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2853, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 10.8857, build_memory: 1626836451.2, f_measure: 0.957, kappa: 0.9522, kb_relative_information_score: 9563.8224, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9572, predictive_accuracy: 0.957, prior_entropy: 3.3219, recall: 0.957, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.2998, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, build_cpu_time: 16.8388, build_memory: 906015536, f_measure: 0.9469, kappa: 0.9408, kb_relative_information_score: 9473.1681, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9473, predictive_accuracy: 0.9467, prior_entropy: 3.3219, recall: 0.9467, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3216, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, build_cpu_time: 41.7909, build_memory: 580455192, f_measure: 0.9654, kappa: 0.9616, kb_relative_information_score: 9643.1183, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9657, predictive_accuracy: 0.9654, prior_entropy: 3.3219, recall: 0.9654, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.2741, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 5.4918, build_memory: 1369442683.2, f_measure: 0.9434, kappa: 0.9371, kb_relative_information_score: 9438.3148, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 3.3219, recall: 0.9434, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3349, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 2.3283, build_memory: 2478449689.6, f_measure: 0.9558, kappa: 0.9509, kb_relative_information_score: 9500.8405, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 3.3219, recall: 0.9558, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.312, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1299.9304, usercpu_time_millis: 104870, usercpu_time_millis_testing: 36640, usercpu_time_millis_training: 68230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1347.993, usercpu_time_millis: 1234880, usercpu_time_millis_testing: 5000, usercpu_time_millis_training: 1229880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 1371.9645, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9152, kappa: 0.9046, kb_relative_information_score: 697.5328, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9203, predictive_accuracy: 0.9141, prior_entropy: 3.3219, recall: 0.9141, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9811, scimark_benchmark: 1313.6093, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8521, kappa: 0.8353, kb_relative_information_score: 8332.16, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8532, predictive_accuracy: 0.8518, prior_entropy: 3.3219, recall: 0.8518, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5527, scimark_benchmark: 1342.6563, usercpu_time_millis: 4970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 1339.7143, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.909, kappa: 0.8926, kb_relative_information_score: 9004.167, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9252, predictive_accuracy: 0.9033, prior_entropy: 3.3219, recall: 0.9033, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4566, scimark_benchmark: 1352.2099, usercpu_time_millis: 89400, usercpu_time_millis_training: 89400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9575, kappa: 0.9528, kb_relative_information_score: 9078.6887, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9576, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.3219, scimark_benchmark: 941.9549, usercpu_time_millis: 24310, usercpu_time_millis_testing: 7420, usercpu_time_millis_training: 16890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9443, kappa: 0.9381, kb_relative_information_score: 8560.8895, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9446, predictive_accuracy: 0.9443, prior_entropy: 3.3219, recall: 0.9443, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.3845, scimark_benchmark: 1333.8751, usercpu_time_millis: 20470, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 20050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.87, kappa: 0.8558, kb_relative_information_score: 8614.9224, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8708, predictive_accuracy: 0.8702, prior_entropy: 3.3219, recall: 0.8702, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5315, scimark_benchmark: 916.5769, usercpu_time_millis: 1400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1347.917, usercpu_time_millis: 500, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 918.0213, usercpu_time_millis: 7950, usercpu_time_millis_testing: 6860, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 918.0213, usercpu_time_millis: 859750, usercpu_time_millis_testing: 1420, usercpu_time_millis_training: 858330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1322.2005, usercpu_time_millis: 6890, usercpu_time_millis_testing: 6220, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1347.7267, usercpu_time_millis: 7340, usercpu_time_millis_testing: 6530, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 1397.3209, usercpu_time_millis: 1890, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1360.0477, usercpu_time_millis: 1242520, usercpu_time_millis_testing: 5050, usercpu_time_millis_training: 1237470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 1310.3168, usercpu_time_millis: 2150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 946.6409, usercpu_time_millis: 818130, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 816780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 942.3809, usercpu_time_millis: 8010, usercpu_time_millis_testing: 6920, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 942.3809, usercpu_time_millis: 1810, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 926.4745, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.5491, kappa: 0.5173, kb_relative_information_score: 2242.6672, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5767, predictive_accuracy: 0.5656, prior_entropy: 3.3219, recall: 0.5656, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.281, root_relative_squared_error: 0.9368, scimark_benchmark: 931.7994, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1346.6261, usercpu_time_millis: 28150, usercpu_time_millis_testing: 15080, usercpu_time_millis_training: 13070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1322.5413, usercpu_time_millis: 9160, usercpu_time_millis_testing: 8200, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1342.2845, usercpu_time_millis: 7980, usercpu_time_millis_testing: 6820, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 1364.991, usercpu_time_millis: 14420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1337.3324, usercpu_time_millis: 7540, usercpu_time_millis_testing: 6670, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1342.8584, usercpu_time_millis: 82890, usercpu_time_millis_testing: 30200, usercpu_time_millis_training: 52690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1326.2019, usercpu_time_millis: 41740, usercpu_time_millis_testing: 18490, usercpu_time_millis_training: 23250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1313.5633, usercpu_time_millis: 560, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1323.5075, usercpu_time_millis: 1309920, usercpu_time_millis_testing: 5390, usercpu_time_millis_training: 1304530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 915.9028, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 922.5036, usercpu_time_millis: 8580, usercpu_time_millis_testing: 7450, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 938.838, usercpu_time_millis: 8390, usercpu_time_millis_testing: 7290, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 946.9304, usercpu_time_millis: 2520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 946.9304, usercpu_time_millis: 6960, usercpu_time_millis_testing: 6020, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 945.6228, usercpu_time_millis: 8050, usercpu_time_millis_testing: 7000, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 936.9595, usercpu_time_millis: 1890, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 930.404, usercpu_time_millis: 9970, usercpu_time_millis_testing: 8750, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 930.404, usercpu_time_millis: 7770, usercpu_time_millis_testing: 6720, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 819.5729, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 943.1009, usercpu_time_millis: 1780, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 937.5117, usercpu_time_millis: 830770, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 829260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 927.2882, usercpu_time_millis: 34850, usercpu_time_millis_testing: 13040, usercpu_time_millis_training: 21810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 941.3847, usercpu_time_millis: 590, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 941.6675, usercpu_time_millis: 660, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 916.0735, usercpu_time_millis: 43130, usercpu_time_millis_testing: 8330, usercpu_time_millis_training: 34800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 941.6675, usercpu_time_millis: 8590, usercpu_time_millis_testing: 7420, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 941.3847, usercpu_time_millis: 8400, usercpu_time_millis_testing: 7260, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 938.191, usercpu_time_millis: 8940, usercpu_time_millis_testing: 7800, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 608.4057, usercpu_time_millis: 19880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 851.2074, usercpu_time_millis: 19430, usercpu_time_millis_training: 19430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1332.1612, usercpu_time_millis: 9090, usercpu_time_millis_testing: 7920, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1316.5668, usercpu_time_millis: 8150, usercpu_time_millis_testing: 7290, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1340.9749, usercpu_time_millis: 7800, usercpu_time_millis_testing: 7010, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1338.5214, usercpu_time_millis: 450, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1340.9749, usercpu_time_millis: 7120, usercpu_time_millis_testing: 6450, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 1310.3168, usercpu_time_millis: 22420, usercpu_time_millis_testing: 8720, usercpu_time_millis_training: 13700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1325.8468, usercpu_time_millis: 7980, usercpu_time_millis_testing: 6910, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1324.8408, usercpu_time_millis: 7740, usercpu_time_millis_testing: 6890, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 1337.3324, usercpu_time_millis: 2290, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1350.7721, usercpu_time_millis: 5430, usercpu_time_millis_testing: 4850, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8571, kappa: 0.8399, kb_relative_information_score: 8392.1055, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8559, prior_entropy: 3.3219, recall: 0.8559, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.5151, scimark_benchmark: 1306.5596, usercpu_time_millis: 1295850, usercpu_time_millis_testing: 5440, usercpu_time_millis_training: 1290410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 949.7766, usercpu_time_millis: 47750, usercpu_time_millis_testing: 12550, usercpu_time_millis_training: 35200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 922.5036, usercpu_time_millis: 7090, usercpu_time_millis_testing: 6090, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8285, kappa: 0.8101, kb_relative_information_score: 7901.9456, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 3.3219, recall: 0.8291, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.529, scimark_benchmark: 922.9595, usercpu_time_millis: 18620, usercpu_time_millis_training: 18620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 903.2737, usercpu_time_millis: 9110, usercpu_time_millis_testing: 7900, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 903.2737, usercpu_time_millis: 8280, usercpu_time_millis_testing: 7130, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 931.771, usercpu_time_millis: 1710, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5407, kappa: 0.4993, kb_relative_information_score: 5287.8167, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6403, predictive_accuracy: 0.5494, prior_entropy: 3.3219, recall: 0.5494, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, scimark_benchmark: 941.3847, usercpu_time_millis: 64950, usercpu_time_millis_testing: 19640, usercpu_time_millis_training: 45310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9185, kappa: 0.9094, kb_relative_information_score: 8569.8054, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9188, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.4079, scimark_benchmark: 941.6675, usercpu_time_millis: 2590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1362.9924, usercpu_time_millis: 7510, usercpu_time_millis_testing: 6650, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1303.5632, usercpu_time_millis: 6960, usercpu_time_millis_testing: 6190, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 929.0363, usercpu_time_millis: 680, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1303.5632, usercpu_time_millis: 6400, usercpu_time_millis_testing: 5790, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1303.5632, usercpu_time_millis: 7270, usercpu_time_millis_testing: 6430, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 8702.0094, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.109, root_relative_squared_error: 0.3632, scimark_benchmark: 1310.6554, usercpu_time_millis: 1570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.925, kappa: 0.9166, kb_relative_information_score: 9224.1707, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 3.3219, recall: 0.9249, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403, scimark_benchmark: 1313.8988, usercpu_time_millis: 520, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8056, kappa: 0.7842, kb_relative_information_score: 7978.0777, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 3.3219, recall: 0.8058, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163, scimark_benchmark: 1322.5413, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9621, kappa: 0.9579, kb_relative_information_score: 9609.2373, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 3.3219, recall: 0.9621, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854, scimark_benchmark: 1353.0836, usercpu_time_millis: 5860, usercpu_time_millis_testing: 5200, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9454, kappa: 0.9393, kb_relative_information_score: 8942.8863, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9456, predictive_accuracy: 0.9454, prior_entropy: 3.3219, recall: 0.9454, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3518, scimark_benchmark: 926.5859, usercpu_time_millis: 14390, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 14150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9397, kappa: 0.933, kb_relative_information_score: 8656.2236, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9401, predictive_accuracy: 0.9397, prior_entropy: 3.3219, recall: 0.9397, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3846, scimark_benchmark: 933.0918, usercpu_time_millis: 90210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 588.1826, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.1084, kappa: 0.1094, kb_relative_information_score: 2191.7933, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0787, predictive_accuracy: 0.1985, prior_entropy: 3.3219, recall: 0.1985, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9638, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,

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

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From your own software

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

OpenML APIs