Deep Learning with Javascript 3.2.2

Posted on April 6, 2020

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