Which evaluation method is primarily used in AEP?

The method primarily used in an Automated Evaluation Process (AEP) is trial and error. This approach involves testing various algorithms and models to refine the accuracy of the evaluation process. In AEP, initial assessments may not yield perfect results; therefore, adjustments are made through iterative testing. By evaluating the performance of different models, data inputs, and parameters, practitioners can identify what works best for achieving accurate property evaluations. This process of trial and error ultimately leads to improved assessments as methodologies are continuously optimized based on feedback and data outcomes.

While quantitative measurement and qualitative assessment are important in broader analytical practices, they do not specifically capture the essence of the iterative, experimental nature of AEP, which focuses on refining techniques through repeated testing. Market comparison is also valuable in real-world assessments, but it typically utilizes existing data rather than the refined, experimental approach of trial and error inherent in AEP.