9.3: Overfitting
Always be suspicious of a perfect fit for your data for machine learning problems. A model that fits a training set well but gives poor testing results is said to overfit the training data. This caution is reserved for any learning model. We introduce it here as a means of connecting concepts together with the data mining units. Read the following article for an overview of overfitting.
Follow this practice example to see how overfitting can occur within a learning model.