Analyze AI fraud prediction models

In this code pattern, gain better insights and explainability by learning how to use the AI 360 Explainability Toolkits to demystify the decisions that are made by a machine learning model. This not only helps policymakers and data scientists to develop trusted explainable AI applications, but also helps with transparency for everyone. To demonstrate the use of the AI Explainability 360 Toolkit, we use the existing fraud detection code pattern explaining the AIX360 algorithms. Imagine a scenario in which you visit a bank where you want to take out a $1M loan. The loan officer uses an AI-powered system that predicts or recommends if you are eligible for a loan and how much that loan can be.