Checking Overfitting
From the accuracies you've given, both methods say you have overfitting. Cross validation is just a more accurate way to test how well the model generalises, so don't compare folds, compare the average cross validation accuracy with the training accuracy, since these are very different you have overfitting
I want to be sure that my model is not overfitting. I checked the overfitting using cross validation. Results of all folds are close.But at the same time I checked the train and test predictions. Test size is 0.25. And train and test predictions are so different. It shows that my model is overfitting. Which result should I believe? Cross validation or test/train prediction.Is my model overfitting?
Note:I used python. Sklearn for cross validation, train test split and modelling