Not Always a Black Box: Machine Learning Approaches For Model Explainability

Imagine that you have built a very precise machine learning model by using clever tricks and non-standard features. You are beyond happy and proud. However, when you present your results to your stakeholders, they are less thrilled. They don't understand what you did and why. They don't comprehend how your clever model makes a prediction.