By Cross-validation. A fraction of the dataset would be earmarked for Cross-validation apart from the training and the test data sets. Various techniques such as Leave-one-out and K-fold would be used to deal with this problem. Certain machine learning techniques such as Random Forests also address the overfitting problem.