Confusing metrics around the Confusion Matrix

An intuitive approach to understanding some confusing classification metrics derived from the Confusion Matrix

Photo by William Warby on Unsplash

Motivation

“If you can’t measure it, you can’t possibly improve it” .

In the field of Machine Learning and Data Science, especially with statistical classification, a “Confusion Matrix” is often used to derive a bunch of metrics that can be examined to either improve the performance of a classifier model or to compare the performance of multiple models.

While the …

classification-metrics confusion-matrix metrics precision recall