Figure 10.

Classification accuracy. Mean classification accuracy and accuracy standard error (represented by error bars) were calculated for each classifier/feature set combination across 10-folds. Perfect classification of monopolar stimulation settings was achieved with the random forest classifier using any of the three feature sets. The neural network, naïve Bayes and random forest classifiers achieved perfect or near perfect accuracy using the region properties feature set.