Tag Archive for leave-one-out


Cross-Validation Strategies

When you are building a prediction model, let’s say a linear regression to keep it simple, you need to be aware of how good at predicting that model is. A common evauation technique, with its origin in the statistical world, is the evaluation of residuals. Residuals are defined as the¬†difference between the predicted and observed values (remember that we use¬†labeled… Read more →