Explainable AI (XAI) › Interpretable Machine Learning Models
How does Interpretable Machine Learning Models work
BeginnerAnswer
These models make decisions using simple, traceable logic, such as a clear set of weighted factors or a readable series of decision rules.
Real-world example A company chooses a decision tree, an interpretable model, over a complex neural network so it can easily explain loan decisions to customers.