The Explanation You Need on Binary Classification Metrics
An intuitive overview of the most common metrics used to assess the quality of a binary classification model
Published in
9 min readAug 20, 2022
The model assessment phase starts when we create a holdout set which consists of examples the learning algorithm didn’t see during training. If our model performs well on the holdout set…
