Currently, I have trained my model through 5-fold cross validation with very small amount of the sample (n=240).
I used whole data set to train and got quite low performance in terms of accuracy, which is bit higher than 70%.
However, if I put my data which was used for training back to trained model to validate, it gives me higher accuracy (80%).
So, my question is it okay to say that I have verified my trained model using training set and got 80 of accuracy? or should I have to stick with 70 % of accuracy that I received from 5-fold cross validation?