Beyond comparing simple models (and reduced-data models), it is often useful to implement simple, inexpensive models based on domain knowledge or “received wisdom” and evaluate their performance. For example, in one fraud detection application it was commonly believed that most defrauded accounts would experience a sudden increase in usage, and so checking accounts for sudden jumps in volume was sufficient for catching a large proportion of fraud.
