Figure 6. Demonstrations of the three tabs generated by the plot_UMAP function. Tab a -UMAP calculation and tuning – evaluates whether ACC features represent behaviours. The “Features to input” section allows users to choose which feature groups to use as input to UMAP. The “UMAP hyperparameter tuning” section allows users to interactively adjust three hyperparameters within the UMAP function to control the two-dimensional clustering. Tab b – Feature visualization through UMAP – shows how feature values vary across the two-dimensional UMAP plot. Users can choose which feature to plot by selecting from the drop-box. Tab c – Selected features – allows evaluating the performance of selected features in differentiating between the different behaviours. Users can choose which features to input into UMAP by ticking the checkboxes.