Dear All,

Good day

I need guideline for the above matter. I applied 10 cross fold validation to my data and I got good classification results around 90% but if I gave 90% data for training and 10% for testing by myself the accuracy drops a lot. It is around 75%. In my knowledge, 10 cross validation also did the same thing, divide the data into 90% training and 10% testing and repeat it 10 times.

So in leave one out why the accuracy is too low compared to 10 fold cross validation.

Thanks

Regards

NUML