Notes on chapter three of Deep Learning with Javascript

### 3.2.2 Precision Recall Accuracy and ROC Curves of Binary Classification

We can emit two values in these kinds of problems,

yes or no

This results in four material outcomes.

- true positive
- true negative
- false positive
- false negative

Populating a table with counts of these values creates what is called a *confusion matrix*.

Expressing performance of these kinds of tasks comes in different forms.

Accuracy is the simplest - quantifying what percentage of the examples are classified correctly