Rosario, Very nicely explained. I have a query, your expert help is required. I did binary prediction through XGboost model and when I obtain the confusion matrix, I get MacNemar Test with p<0.05. How should I interpret it? Is it showing a significant difference between the 1st model when the algorithm started and the last model when the algorithm stopped? If it is not so, then what is it actually telling or if yes, please share academic reference. I obtained the confusion matrix from the caret package in R.