precisionrecallkurvor
Precisionrecallkurvor is the term used in some contexts to refer to the precision-recall curve, a graphical tool for evaluating binary classification models. The curve plots precision against recall as the decision threshold is varied, providing insight into how well a model can identify positive instances while limiting false positives.
Precision is defined as the ratio of true positives to all predicted positives (TP / (TP + FP)),
The precision-recall curve is especially informative when the positive class is rare or imbalanced, where the
Interpretation and use include comparing models, selecting decision thresholds, and understanding how changes in classification strategy
Extensions cover multi-class scenarios (one-vs-rest curves) and alternative constructions of the curve for specific applications. In