Task
Supervised Classification on plasma_retinol

Supervised Classification on plasma_retinol

Task 4483 Supervised Classification plasma_retinol 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.5211, kappa: 0.0922, kb_relative_information_score: 108.8155, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.6157, predictive_accuracy: 0.6035, prior_entropy: 0.9827, recall: 0.6035, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0036, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5527, kappa: 0.0778, kb_relative_information_score: 31.0976, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5506, predictive_accuracy: 0.5584, prior_entropy: 0.9827, recall: 0.5584, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0317, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, f_measure: 0.5396, kappa: 0.0506, kb_relative_information_score: 55.8584, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5374, predictive_accuracy: 0.5473, prior_entropy: 0.9827, recall: 0.5473, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0839, scimark_benchmark: 934.3687, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 395.2325, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 916.0735, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5462, kappa: 0.0644, kb_relative_information_score: 110.755, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5447, predictive_accuracy: 0.5565, prior_entropy: 0.9827, recall: 0.5565, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.02, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.5701, kappa: 0.1136, kb_relative_information_score: 132.2605, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5695, predictive_accuracy: 0.5797, prior_entropy: 0.9827, recall: 0.5797, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0306, scimark_benchmark: 938.191, usercpu_time_millis: 2960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 395.2325, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 395.2325, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5462, kappa: 0.0644, kb_relative_information_score: 110.755, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5447, predictive_accuracy: 0.5565, prior_entropy: 0.9827, recall: 0.5565, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.02, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5375, kappa: 0.0475, kb_relative_information_score: 80.3074, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5366, predictive_accuracy: 0.5514, prior_entropy: 0.9827, recall: 0.5514, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0164, scimark_benchmark: 937.5117, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.5211, kappa: 0.0922, kb_relative_information_score: 108.8155, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.6157, predictive_accuracy: 0.6035, prior_entropy: 0.9827, recall: 0.6035, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0036, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5527, kappa: 0.0778, kb_relative_information_score: 31.0976, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5506, predictive_accuracy: 0.5584, prior_entropy: 0.9827, recall: 0.5584, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0317, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, f_measure: 0.5396, kappa: 0.0506, kb_relative_information_score: 55.8584, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5374, predictive_accuracy: 0.5473, prior_entropy: 0.9827, recall: 0.5473, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0839, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 395.2325, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 904.5548, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5462, kappa: 0.0644, kb_relative_information_score: 110.755, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5447, predictive_accuracy: 0.5565, prior_entropy: 0.9827, recall: 0.5565, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.02, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.5701, kappa: 0.1136, kb_relative_information_score: 132.2605, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5695, predictive_accuracy: 0.5797, prior_entropy: 0.9827, recall: 0.5797, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0306, scimark_benchmark: 938.4601, usercpu_time_millis: 2530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 936.9595, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5375, kappa: 0.0475, kb_relative_information_score: 80.3074, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5366, predictive_accuracy: 0.5514, prior_entropy: 0.9827, recall: 0.5514, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0164, scimark_benchmark: 938.988, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5021, kappa: 0.0392, kb_relative_information_score: 29.9697, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5484, predictive_accuracy: 0.5765, prior_entropy: 0.9827, recall: 0.5765, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9997, scimark_benchmark: 943.6618, usercpu_time_millis: 2450, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.5002, kappa: 0.0347, kb_relative_information_score: 29.0087, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5439, predictive_accuracy: 0.5743, prior_entropy: 0.9827, recall: 0.5743, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0001, scimark_benchmark: 934.7923, usercpu_time_millis: 880, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.4978, kappa: 0.0266, kb_relative_information_score: 23.5041, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5356, predictive_accuracy: 0.5698, prior_entropy: 0.9827, recall: 0.5698, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0021, scimark_benchmark: 939.5607, usercpu_time_millis: 420, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5008, kappa: 0.0274, kb_relative_information_score: 29.0534, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5351, predictive_accuracy: 0.5689, prior_entropy: 0.9827, recall: 0.5689, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0021, scimark_benchmark: 906.8974, usercpu_time_millis: 210, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.5069, kappa: 0.0315, kb_relative_information_score: 19.9811, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5367, predictive_accuracy: 0.5686, prior_entropy: 0.9827, recall: 0.5686, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.006, scimark_benchmark: 918.0831, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5518, kappa: 0.0769, kb_relative_information_score: 122.2397, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5499, predictive_accuracy: 0.5556, prior_entropy: 0.9827, recall: 0.5556, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0881, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5518, kappa: 0.0769, kb_relative_information_score: 122.2397, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5499, predictive_accuracy: 0.5556, prior_entropy: 0.9827, recall: 0.5556, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0881, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.5512, kappa: 0.0756, kb_relative_information_score: 121.375, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5549, prior_entropy: 0.9827, recall: 0.5549, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.088, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.5564, kappa: 0.0867, kb_relative_information_score: 130.6497, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5547, predictive_accuracy: 0.5597, prior_entropy: 0.9827, recall: 0.5597, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.077, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.5697, kappa: 0.1132, kb_relative_information_score: 183.7613, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.568, predictive_accuracy: 0.5746, prior_entropy: 0.9827, recall: 0.5746, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0452, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 1331.7953, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.535, kappa: 0.0746, kb_relative_information_score: 63.1377, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5639, predictive_accuracy: 0.5838, prior_entropy: 0.9827, recall: 0.5838, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0043, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.5211, kappa: 0.0922, kb_relative_information_score: 108.8155, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.6157, predictive_accuracy: 0.6035, prior_entropy: 0.9827, recall: 0.6035, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0036, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.535, kappa: 0.0746, kb_relative_information_score: 63.1377, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5639, predictive_accuracy: 0.5838, prior_entropy: 0.9827, recall: 0.5838, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0043, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.535, kappa: 0.0746, kb_relative_information_score: 63.1377, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5639, predictive_accuracy: 0.5838, prior_entropy: 0.9827, recall: 0.5838, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0043, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5527, kappa: 0.0778, kb_relative_information_score: 31.0976, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5506, predictive_accuracy: 0.5584, prior_entropy: 0.9827, recall: 0.5584, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0317, scimark_benchmark: 1350.7721, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.535, kappa: 0.0746, kb_relative_information_score: 63.1377, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5639, predictive_accuracy: 0.5838, prior_entropy: 0.9827, recall: 0.5838, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0043, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5459, kappa: 0.0688, kb_relative_information_score: 106.451, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5493, predictive_accuracy: 0.5667, prior_entropy: 0.9827, recall: 0.5667, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0625, scimark_benchmark: 1322.1893, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5375, kappa: 0.0475, kb_relative_information_score: 80.3074, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5366, predictive_accuracy: 0.5514, prior_entropy: 0.9827, recall: 0.5514, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0164, scimark_benchmark: 1346.2927, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5173, kappa: 0.005, kb_relative_information_score: -8.1307, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5146, predictive_accuracy: 0.5229, prior_entropy: 0.9827, recall: 0.5229, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6144, root_relative_squared_error: 1.2439, scimark_benchmark: 1321.4771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, f_measure: 0.5396, kappa: 0.0506, kb_relative_information_score: 55.8584, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5374, predictive_accuracy: 0.5473, prior_entropy: 0.9827, recall: 0.5473, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0839, scimark_benchmark: 1309.4708, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5258, kappa: 0.0636, kb_relative_information_score: 65.6405, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5593, predictive_accuracy: 0.5813, prior_entropy: 0.9827, recall: 0.5813, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0046, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5462, kappa: 0.0644, kb_relative_information_score: 110.755, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.488, number_of_instances: 3150, precision: 0.5447, predictive_accuracy: 0.5565, prior_entropy: 0.9827, recall: 0.5565, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.02, scimark_benchmark: 1303.9481, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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