Consequently, only the true positive rate (TPR), also referred to recall or sensitivity, can be calculated. Relying solely on the TPR is insufficient for a comprehensive evaluation of a model's quality as a perfect TPR of 1 is consistently attainable if a model predicts everything as "positive" and does not attempt to differentiate between positive and negative samples.