精确率与召回率 (Precision vs Recall)

黎 浩然/ 8 11 月, 2023/ 机器学习/MACHINELEARNING, 研究生/POSTGRADUATE/ 0 comments

$$ \begin{equation}pre={\text{True Positive} \over \text{#Predicted Postive} } = {\text{True Positive} \over \text{True Postive} + \text{False Postive}}\end{equation} $$

$$ \begin{equation}rec={\text{True Positive} \over \text{#Actually Postive} } = {\text{True Positive} \over \text{True Postive} + \text{False Negative}}\end{equation} $$

Fasle Positive称为第一类错误；False Negative被称为第二类错误