Task
Supervised Classification on confidence

Supervised Classification on confidence

Task 3878 Supervised Classification confidence 520 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8067, kappa: 0.2143, kb_relative_information_score: 14.462, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8237, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8662, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 8.8878, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9791, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8067, kappa: 0.2143, kb_relative_information_score: 14.462, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8237, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8662, scimark_benchmark: 1330.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8854, kappa: 0.5435, kb_relative_information_score: 14.9183, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.9129, predictive_accuracy: 0.9028, prior_entropy: 0.6705, recall: 0.9028, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.7395, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8611, kappa: 0.46, kb_relative_information_score: 20.9764, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8626, predictive_accuracy: 0.875, prior_entropy: 0.6705, recall: 0.875, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1308.6872, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8854, kappa: 0.5435, kb_relative_information_score: 11.9132, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.9129, predictive_accuracy: 0.9028, prior_entropy: 0.6705, recall: 0.9028, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.8092, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8611, kappa: 0.46, kb_relative_information_score: 20.9764, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8626, predictive_accuracy: 0.875, prior_entropy: 0.6705, recall: 0.875, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 19.9521, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0951, scimark_benchmark: 1341.3551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8067, kappa: 0.2143, kb_relative_information_score: 14.462, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8237, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8662, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8611, kappa: 0.46, kb_relative_information_score: 20.9764, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8626, predictive_accuracy: 0.875, prior_entropy: 0.6705, recall: 0.875, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8854, kappa: 0.5435, kb_relative_information_score: 11.9132, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.9129, predictive_accuracy: 0.9028, prior_entropy: 0.6705, recall: 0.9028, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.8092, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 8.8878, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9791, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7983, kappa: 0.25, kb_relative_information_score: -6.5165, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.7925, predictive_accuracy: 0.8056, prior_entropy: 0.6705, recall: 0.8056, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9845, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8854, kappa: 0.5435, kb_relative_information_score: 14.9183, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.9129, predictive_accuracy: 0.9028, prior_entropy: 0.6705, recall: 0.9028, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.7395, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8611, kappa: 0.46, kb_relative_information_score: 20.9764, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8626, predictive_accuracy: 0.875, prior_entropy: 0.6705, recall: 0.875, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7983, kappa: 0.25, kb_relative_information_score: -6.5165, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.7925, predictive_accuracy: 0.8056, prior_entropy: 0.6705, recall: 0.8056, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9845, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9011, kappa: 0.6379, kb_relative_information_score: 36.1823, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8999, predictive_accuracy: 0.9028, prior_entropy: 0.6705, recall: 0.9028, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.7912, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8495, kappa: 0.4231, kb_relative_information_score: 18.2966, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8464, predictive_accuracy: 0.8611, prior_entropy: 0.6705, recall: 0.8611, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8498, scimark_benchmark: 944.4621, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8611, kappa: 0.46, kb_relative_information_score: 20.9764, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8626, predictive_accuracy: 0.875, prior_entropy: 0.6705, recall: 0.875, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7873, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8495, kappa: 0.4231, kb_relative_information_score: 18.2966, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8464, predictive_accuracy: 0.8611, prior_entropy: 0.6705, recall: 0.8611, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8498, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7983, kappa: 0.25, kb_relative_information_score: -6.5165, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.7925, predictive_accuracy: 0.8056, prior_entropy: 0.6705, recall: 0.8056, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9845, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8067, kappa: 0.2143, kb_relative_information_score: 14.462, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8237, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8662, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8495, kappa: 0.4231, kb_relative_information_score: 18.2966, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8464, predictive_accuracy: 0.8611, prior_entropy: 0.6705, recall: 0.8611, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8498, scimark_benchmark: 1314.9949,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 8.8878, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9791, scimark_benchmark: 1322.5413,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8424, kappa: 0.4706, kb_relative_information_score: 20.4418, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8571, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7716, kappa: 0.0714, kb_relative_information_score: 9.9735, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.756, predictive_accuracy: 0.8194, prior_entropy: 0.6705, recall: 0.8194, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.8634, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.897, kappa: 0.6111, kb_relative_information_score: 22.9271, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8968, predictive_accuracy: 0.9028, prior_entropy: 0.6705, recall: 0.9028, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8065, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: -3.4478, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9944, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8156, kappa: 0.4767, kb_relative_information_score: 5.0059, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8889, predictive_accuracy: 0.7917, prior_entropy: 0.6705, recall: 0.7917, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4333, f_measure: 0.7576, kb_relative_information_score: -1.4763, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.7802, kappa: 0.1, kb_relative_information_score: 3.0827, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.7857, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9936, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.804, kappa: 0.4545, kb_relative_information_score: 0.8085, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8857, predictive_accuracy: 0.7778, prior_entropy: 0.6705, recall: 0.7778, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4134, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7983, kappa: 0.25, kb_relative_information_score: -6.5165, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.7925, predictive_accuracy: 0.8056, prior_entropy: 0.6705, recall: 0.8056, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9845, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.789, kappa: 0.1316, kb_relative_information_score: 7.71, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8709, predictive_accuracy: 0.8472, prior_entropy: 0.6705, recall: 0.8472, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8845, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8854, kappa: 0.5435, kb_relative_information_score: 11.3337, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.9129, predictive_accuracy: 0.9028, prior_entropy: 0.6705, recall: 0.9028, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.8298, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8728, kappa: 0.5345, kb_relative_information_score: 20.4726, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8711, predictive_accuracy: 0.875, prior_entropy: 0.6705, recall: 0.875, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7576, kb_relative_information_score: 19.9521, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.6944, predictive_accuracy: 0.8333, prior_entropy: 0.6705, recall: 0.8333, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0951, scimark_benchmark: 1038.8448, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8796, kappa: 0.5385, kb_relative_information_score: 14.9799, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8802, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.8176, scimark_benchmark: 1119.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.873, kappa: 0.5, kb_relative_information_score: 26.4661, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2838, number_of_instances: 72, precision: 0.8838, predictive_accuracy: 0.8889, prior_entropy: 0.6705, recall: 0.8889, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.3728, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.8354, scimark_benchmark: 919.0097, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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