Western Governors University (WGU) MATH1200 C957 Applied Algebra Practice Exam

The term that best describes the effectiveness or reliability of a model's predictions is "validity." In model evaluation, validity refers to the extent to which a model accurately represents the phenomenon it is intended to portray and how well it predicts outcomes based on new data. A valid model produces predictions that are both accurate and applicable in real-world scenarios, indicating strong performance.

While model strength may seem relevant, it more specifically pertains to the model's capacity to capture the relationship between variables rather than the holistic effectiveness of the predictions it generates. Model choice relates to the process of selecting from various models, which doesn't inherently speak to the reliability of predictions. Extrapolation describes how well a model can make predictions outside the range of the training data but doesn't address overall model reliability or effectiveness. Therefore, the correct option focuses on the comprehensive assessment of a model's predictive capability.