We have a simple tip for today to help evaluate models and avoid overfit. Start by separating your data into two sets. These will be the training seat and testing. The next step is to engage in cross-validation to analyze numerical data without over-fitting. This method will allow you to example the out-of-sample fit.
Cross-validation
