Analyzing PRC Results
PRC result analysis is a critical process in evaluating the performance of a prediction model. It involves thoroughly examining the Precision-Recall curve and deriving key indicators such as recall at different levels. By analyzing these metrics, we can draw conclusions about the model's capacity to effectively estimate instances, specifically at d