Data Science: How to calculate confusion matrix

In Data Science, the confusion matrix is a measure of the health of a model. In particular, it helps to measure the performance of a supervised learning model. For this article, I will detail how to create a confusion matrix for a binary classification model both manually and using an sklearn built-in function called metrics.confusion_matrix. … Continue reading Data Science: How to calculate confusion matrix