Many experiments come with K-Fold cross validation protocols. Currently, we only have support for displaying the numerical metrics using the multi-metrics command. However, support for plotting ROC and DET curves with proper error margins are missing. Scikit-learn has an example for ROC with +-1 std in https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html but this might not be the best approach. Moreover, in our multi-metrics, we also use mean and std to show errors.