Functions to aid with the visualisation of classification accuracy and class purity
Functions will be for summarising confusion matrices from K-fold cross-validation received as an array of K matrices (where K is the number of 'folds') and Each matrix within the array has the dimensions of k x k (where k is the number of classes)
Tables returned have the sensitivity of classification for each class and/or across classes
Plots returned have the sensitivity of the classification for each class and/or across classes