Mean values and standard deviations of balanced accuracy across the five considered techniques: Classifier based on whole image as a vector, classifier based on glcm parameters, classifier based on averaged image over columns and rows, classifier based on pca results from an image, and classifier based on the combination of the pca results and the glcm parameters.

The number below the balanced accuracy metric, if any, indicates which model number obtained better and statistically significantly different results (Wilcoxon test, α = 0.05).