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A recently completed archaeological predictive model (APM) of the state of Pennsylvania provided an unprecedented opportunity to explore the current status of APM methods and extend them based on current methods derived from related scientific fields, medicine, and statistical computing. Through this process many different types of models were created and tested for validity, predictive performance, and adherence to archaeological theory. One result of this project is a comprehensive view of the problems that beset existing APM methodologies, solutions to some of these problems, and the nature of challenges that we will face going forward with new techniques. Most, if not all of the findings of this project are applicable to the eastern deciduous United States, and much of the methodological scope is useful to APMs in any geography. This paper will discuss the primary lessons learned from this project in regards to archaeological data, modeling methods, and theory, as well as touch on best-practices for future APM efforts.