Case Study: Local Explanations for Classification Problem
Learn to build and explain a loan approval classification model using LIME. Understand how to interpret individual model predictions with detailed feature impact visualizations to improve AI transparency and trust.
In this lesson, we’ll build a predictive classification model on the loan approval dataset. We train a machine learning model to predict loan approval decisions. Then, we’ll explain the model prediction on individual examples using the LIME framework.
Train a classification model to predict loan approval decisions
Let’s use the credit loan dataset to train a machine learning model that predicts the propensity to approve loans.
The problem statement here is to predict the propensity to approve the loan, and we have ...