Precision-Recall Curve

Model Evaluation

PR Curve, AUC-PR, and AP

Evaluation of any model is vital. When it comes to classification models, be they binary or multi-class, we have a wide range of metrics available at our disposal. If we have a balanced dataset, you might choose Accuracy. If True Prediction is more important, precision, recall, specificity, or F1 will be the choice. All the metrics mentioned here use prediction class for evaluation and not prediction score. However, some metrics …

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