Identifying and correcting poor performances

A performant predictive model is one that produces reliable and satisfying predictions on new data. There are two situations where the model will fail to consistently produce good predictions, and both depend on how the model is trained. A poorly trained model will result in underfitting, while an overly trained model will result in overfitting.