A decision-process for using multiple AVMs to evaluate a subject property. The logic underlying an AVM cascade consists of two components – a model preference table and usage rules (for instance, confidence score thresholds) for each model included in the cascade. Cascades cycle through a predetermined progression of AVMs until one of these models produces a sufficiently accurate valuation.
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