I just got confusion while reading the paper “Local Binary Pattern-Based Hyperspectral Image Classification With Superpixel Guidance”.
They mentioned that they repeated each experiment 10 times and calculated both mean and standard deviation. after that they also mentioned they calculated overall accuracy. in the results they mentioned mean and std accuracy of each class and then overall accuracy. What is the difference between average/meanMean and overall accuracy? isn’t should be same?