I am doing KNN classfication on a dataset composed of 1040 instances. I have 40 subejcts each having 26 samples. I want to do a LOSO validation in WEKA. I divided my data in a way that each time a subject is left out for testing and the rest of subjects are used for training the model. that is, I have a training set consisting of samples for all the subjects except subject 1, and a testing set consisting of only subject1. Then I ran the classifier and supplied the test set and re-evaluated the model. After doing all the 40 tests, I found the mean accuracy over all the accuracies, but, unfortunately the result I found does not match the result presented in the base paper. Can anyone help me to handle this?? Thank you.