Classifier Evaluation
Explore the fundamentals of classifier evaluation in binary classification by understanding confusion matrices. Learn to distinguish true positives, false negatives, and other outcomes to accurately assess your model's predictive performance.
We'll cover the following...
We'll cover the following...
As mentioned in the section How does machine learning work?, the evaluation is one central part of every machine learning algorithm. It may seem trivial at first sight. Yet, deciding on the right measure is a crucial step. When we optimize our algorithm towards better performance, ...