What term describes a prediction method where the prediction model ranks high-value cases above low-value cases?

The term that describes a prediction method where the prediction model ranks high-value cases above low-value cases is ranking. This method focuses on ordering items based on their predicted value or relevance, allowing data practitioners to prioritize or focus their efforts on the most significant cases.

In various applications, ranking is crucial since it helps organizations determine which cases may yield the highest returns or require immediate attention. For instance, in marketing, a ranking model can be used to identify which customer segments are more likely to respond to a campaign, thereby optimizing resource allocation and increasing return on investment.

Other terms in the options describe different aspects of prediction methods. Decisions generally refer to the outcomes that result from the prediction methods rather than the ranking of the cases themselves. Estimations pertain to calculating approximate values rather than creating an order based on value. Classification involves categorizing items into distinct classes or labels but does not inherently prioritize or rank them based on their value. Thus, ranking is the most suitable term for the context of the question.