The confusion matrix is one of the most powerful tools for predictive analysis in machine learning. A confusion matrix gives you information about how your machine classifier has performed, pitting properly classified examples against misclassified examples. Let’s take a look at how to interpret a confusion matrix and how a confusion matrix can be implemented in Scikit-learn for Python. What Is a Confusion Matrix? Perhaps you are wondering: What exactly is a “confusion matrix”?  Put…