Model accuracy values for learning-based techniques used on test data (1/3) of faba bean over 10 runs of the algorithms.

AUC: Area under the ROC curve.RF: Random Forest.caret-rpart: Classification and Regression Training.SVM: Support vector machine.Correct classification rate: the overall classification of both wet and dry accessions to their respective membership group. It is the total of both correctly classified accessions as either wet or dry divided by the total of all the accessions (402).Omission rates: the opposite of correctly classified accessions with drought-related traits in this case, which is the number of accessions lacking the traits yet they have been classified (incorrectly) as having the.