PROJECT INFORMATION

https://seanemery1.github.io/ml-naive-bayes-SVM-PDF/

SETUP INSTRUCTIONS

1. open runScripts.m

2. modify line 13 of runScripts.m - change 'directoryPath' to the project folder

3. run runScripts.m

FUNCTIONS (Inputs/Outputs)

1. imagePreProcessingRandomSampling.m
   in: images
   out: pixel location-label matrices for both randomly and evenly sampled data from each image

2. tableGeneratorRandomSampling.m
   in: training images and location-label matrices
   out: resultsRandom.mat (training set matrix with pixel rows & feature/label columns)

3. tableGeneratorEvenSampling.m
   in: training images and location-label matrices
   out: resultsRandom.mat (training set matrix with pixel rows & feature/label columns)

4. runNaiveBayes.m
   in: training set matrix, test images, cross-validation bool
   out: prediction images, performance stats (confusion matrices for accuracy/misclassification rates, best performing & worst performing image)

5. runSoftSVM.m
   in: training set matrix, test images, cross-validation bool, data standardization bool
   out: prediction images, performance stats (confusion matrices for accuracy/misclassification rates, best performing & worst performing image)