Task
Supervised Classification on puma32H

Supervised Classification on puma32H

Task 3618 Supervised Classification puma32H 556 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, build_cpu_time: 23.4525, build_memory: 1752042585.1621, f_measure: 0.8826, kappa: 0.7652, kb_relative_information_score: 5747.5894, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8827, predictive_accuracy: 0.8826, prior_entropy: 1, recall: 0.8826, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5645, scimark_benchmark: 899.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6418, kappa: 0.2836, kb_relative_information_score: 1339.7171, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6418, predictive_accuracy: 0.6418, prior_entropy: 1, recall: 0.6418, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1335.5424, usercpu_time_millis: 437600, usercpu_time_millis_testing: 15790, usercpu_time_millis_training: 421810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.5574, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 932.5646, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.8329, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1344.0499, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8788, kappa: 0.7576, kb_relative_information_score: 5701.397, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8789, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5715, scimark_benchmark: 1322.2005, usercpu_time_millis: 1860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1336.4564, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1329.1398, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 938.0414, usercpu_time_millis: 270, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.5574, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 938.0414, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1354.3488, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8788, kappa: 0.7576, kb_relative_information_score: 5701.397, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8789, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5715, scimark_benchmark: 1347.993, usercpu_time_millis: 2100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6418, kappa: 0.2836, kb_relative_information_score: 1339.7171, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6418, predictive_accuracy: 0.6418, prior_entropy: 1, recall: 0.6418, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1354.5533, usercpu_time_millis: 457220, usercpu_time_millis_testing: 16140, usercpu_time_millis_training: 441080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1338.5214, usercpu_time_millis: 160, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1346.4374, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1313.5633, usercpu_time_millis: 230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1332.1612, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.3473, kappa: 0.0024, kb_relative_information_score: 81.286, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5313, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4072, scimark_benchmark: 1326.2019, usercpu_time_millis: 162220, usercpu_time_millis_testing: 30630, usercpu_time_millis_training: 131590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.3473, kappa: 0.0024, kb_relative_information_score: 81.286, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5313, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4072, scimark_benchmark: 1342.2845, usercpu_time_millis: 149640, usercpu_time_millis_testing: 25730, usercpu_time_millis_training: 123910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.5574, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1326.2019, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8797, kappa: 0.7596, kb_relative_information_score: 5409.4915, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8806, predictive_accuracy: 0.8798, prior_entropy: 1, recall: 0.8798, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6122, scimark_benchmark: 1322.3407, usercpu_time_millis: 1000, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.8329, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1340.9446, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.5574, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1339.2472, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.5574, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1375.1578, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6418, kappa: 0.2836, kb_relative_information_score: 1339.7171, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6418, predictive_accuracy: 0.6418, prior_entropy: 1, recall: 0.6418, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1322.5413, usercpu_time_millis: 539500, usercpu_time_millis_testing: 17050, usercpu_time_millis_training: 522450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8782, kappa: 0.7567, kb_relative_information_score: 4194.0004, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8792, predictive_accuracy: 0.8783, prior_entropy: 1, recall: 0.8783, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6532, scimark_benchmark: 1336.0954, usercpu_time_millis: 1790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1324.8408, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1342.8584, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1324.7884, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8797, kappa: 0.7596, kb_relative_information_score: 5409.4915, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8806, predictive_accuracy: 0.8798, prior_entropy: 1, recall: 0.8798, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6122, scimark_benchmark: 1318.6467, usercpu_time_millis: 1330, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8803, kappa: 0.7605, kb_relative_information_score: 4165.3227, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8803, predictive_accuracy: 0.8802, prior_entropy: 1, recall: 0.8802, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6434, scimark_benchmark: 1353.0836, usercpu_time_millis: 11560, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 10780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1318.6467, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1340.9749, usercpu_time_millis: 260, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1324.7884, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1040.6439, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 1333.202, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8803, kappa: 0.7605, kb_relative_information_score: 4165.3227, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8803, predictive_accuracy: 0.8802, prior_entropy: 1, recall: 0.8802, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6434, scimark_benchmark: 946.9304, usercpu_time_millis: 10930, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 10310,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6475, kappa: 0.295, kb_relative_information_score: 2417.4916, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6476, predictive_accuracy: 0.6476, prior_entropy: 1, recall: 0.6476, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5936, root_relative_squared_error: 1.1873, usercpu_time_millis: 3.126, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 3.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.5466, kappa: 0.0931, kb_relative_information_score: 763.346, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5466, predictive_accuracy: 0.5466, prior_entropy: 1, recall: 0.5466, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6733, root_relative_squared_error: 1.3467, usercpu_time_millis: 27.004, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 26.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6548, kappa: 0.3096, kb_relative_information_score: 2535.502, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6549, predictive_accuracy: 0.6548, prior_entropy: 1, recall: 0.6548, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5876, root_relative_squared_error: 1.1751, usercpu_time_millis: 14.068, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 13.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8803, kappa: 0.7605, kb_relative_information_score: 6229.8271, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8803, predictive_accuracy: 0.8802, prior_entropy: 1, recall: 0.8802, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6921, usercpu_time_millis: 481.67, usercpu_time_millis_testing: 7.073, usercpu_time_millis_training: 474.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 2557.5039, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1728, usercpu_time_millis: 3.806, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 3.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.5347, kappa: 0.0708, kb_relative_information_score: 585.3304, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5357, predictive_accuracy: 0.5358, prior_entropy: 1, recall: 0.5358, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6813, root_relative_squared_error: 1.3627, usercpu_time_millis: 4.038, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 4.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7212, kappa: 0.4425, kb_relative_information_score: 3623.5978, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7215, predictive_accuracy: 0.7212, prior_entropy: 1, recall: 0.7212, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0561, usercpu_time_millis: 1331.841, usercpu_time_millis_testing: 210.33, usercpu_time_millis_training: 1121.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6558, kappa: 0.3115, kb_relative_information_score: 2551.5034, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6558, predictive_accuracy: 0.6558, prior_entropy: 1, recall: 0.6558, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5867, root_relative_squared_error: 1.1735, usercpu_time_millis: 11.189, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 11.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.6529, kappa: 0.3058, kb_relative_information_score: 2505.4994, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.653, predictive_accuracy: 0.653, prior_entropy: 1, recall: 0.653, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1782, usercpu_time_millis: 7.264, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 7.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.6536, kappa: 0.3072, kb_relative_information_score: 2517.5004, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6537, predictive_accuracy: 0.6537, prior_entropy: 1, recall: 0.6537, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.177, usercpu_time_millis: 2.279, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.648, kappa: 0.296, kb_relative_information_score: 2425.4923, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6481, predictive_accuracy: 0.6481, prior_entropy: 1, recall: 0.6481, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5932, root_relative_squared_error: 1.1865, usercpu_time_millis: 45.851, usercpu_time_millis_testing: 4.542, usercpu_time_millis_training: 41.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5584, kappa: 0.1167, kb_relative_information_score: 955.3629, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5584, predictive_accuracy: 0.5584, prior_entropy: 1, recall: 0.5584, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6646, root_relative_squared_error: 1.3292, usercpu_time_millis: 133.278, usercpu_time_millis_testing: 21.976, usercpu_time_millis_training: 111.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.863, kappa: 0.7261, kb_relative_information_score: 5947.8023, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 1, recall: 0.863, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7402, usercpu_time_millis: 6.497, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 5.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8749, kappa: 0.7497, kb_relative_information_score: 6141.8194, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8751, predictive_accuracy: 0.8749, prior_entropy: 1, recall: 0.8749, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7075, usercpu_time_millis: 22.283, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 21.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.5763, kappa: 0.1526, kb_relative_information_score: 1249.3888, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5763, predictive_accuracy: 0.5763, prior_entropy: 1, recall: 0.5763, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6509, root_relative_squared_error: 1.3019, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 6.872, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.6412, kappa: 0.2823, kb_relative_information_score: 2313.4825, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6412, predictive_accuracy: 0.6412, prior_entropy: 1, recall: 0.6412, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.599, root_relative_squared_error: 1.198, usercpu_time_millis: 114.284, usercpu_time_millis_testing: 7.047, usercpu_time_millis_training: 107.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.648, kappa: 0.296, kb_relative_information_score: 2425.4923, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6481, predictive_accuracy: 0.6481, prior_entropy: 1, recall: 0.6481, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5932, root_relative_squared_error: 1.1865, usercpu_time_millis: 3.087, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 3.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.648, kappa: 0.296, kb_relative_information_score: 2425.4923, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6481, predictive_accuracy: 0.6481, prior_entropy: 1, recall: 0.6481, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5932, root_relative_squared_error: 1.1865, usercpu_time_millis: 0.934, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6485, kappa: 0.297, kb_relative_information_score: 2433.493, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6486, predictive_accuracy: 0.6486, prior_entropy: 1, recall: 0.6486, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5928, root_relative_squared_error: 1.1857, usercpu_time_millis: 0.916, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6475, kappa: 0.295, kb_relative_information_score: 2417.4916, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6476, predictive_accuracy: 0.6476, prior_entropy: 1, recall: 0.6476, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5936, root_relative_squared_error: 1.1873, usercpu_time_millis: 3.073, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 3.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6481, kappa: 0.2962, kb_relative_information_score: 2427.4925, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6482, predictive_accuracy: 0.6482, prior_entropy: 1, recall: 0.6482, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5931, root_relative_squared_error: 1.1863, usercpu_time_millis: 22.227, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 22.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6366, kappa: 0.2731, kb_relative_information_score: 2237.4758, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6366, predictive_accuracy: 0.6366, prior_entropy: 1, recall: 0.6366, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6028, root_relative_squared_error: 1.2057, usercpu_time_millis: 150.505, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 150.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6441, kappa: 0.2883, kb_relative_information_score: 2363.4869, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6444, predictive_accuracy: 0.6443, prior_entropy: 1, recall: 0.6443, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5964, root_relative_squared_error: 1.1929, usercpu_time_millis: 285.807, usercpu_time_millis_testing: 18.241, usercpu_time_millis_training: 267.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.6474, kappa: 0.2948, kb_relative_information_score: 2415.4914, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6475, predictive_accuracy: 0.6475, prior_entropy: 1, recall: 0.6475, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5938, root_relative_squared_error: 1.1875, usercpu_time_millis: 6.321, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 6.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.6456, kappa: 0.2913, kb_relative_information_score: 2387.489, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6458, predictive_accuracy: 0.6458, prior_entropy: 1, recall: 0.6458, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5952, root_relative_squared_error: 1.1904, usercpu_time_millis: 11.906, usercpu_time_millis_testing: 10.243, usercpu_time_millis_training: 1.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6514, kappa: 0.3028, kb_relative_information_score: 2481.4972, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6515, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.1807, usercpu_time_millis: 12.702, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 12.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.6325, kappa: 0.2677, kb_relative_information_score: 2187.4714, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6357, predictive_accuracy: 0.6335, prior_entropy: 1, recall: 0.6335, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6054, root_relative_squared_error: 1.2107, usercpu_time_millis: 2.466, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 2.435,

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