Boxplot of the 5-fold cross validation accuracy results for the training of models of different k-mer feature sets and corresponding neural network architectures on the training data (Table 1). Each dot represents an accuracy score for one of the individual folds in the cross-validation corresponding to the given k-mer feature set.