Introduction to Probabilistic Classification: A Machine Learning Perspective

You are capable of training and evaluating classification models, both linear and non-linear model structures. Now, you want class probabilities instead of class labels. This is the article you are looking for. This article walks you through the different evaluation metrics, its pros and cons and optimal model training for multiple ML models. Imagine creating a model with the sole purpose of classifying cats and dogs.