Consider a binary classification problem where a model predicts whether an email is spam $($positive$)$ or not spam $($negative$).$ The confusion matrix for this model is as follows: $$

Actual$/$Predicted $|$ Positive $|$ Negative

$----------------------------------------------$

Positive $|120|30$

Negative $|10|240$

What does the value $30$ in the confusion matrix represent? $$