Understanding Machine Learning Predictions with SHAP: A Case Study on Taxi Cancellation Prediction

Understanding how Machine Learning make predictions can be challenging sometimes due to model complexity. This is where SHAP (SHapley Additive exPlanations) comes into play. SHAP is a powerful tool for interpreting machine learning models, providing insights into which features influence predictions and to what extent. In this blog post, I’ll show the use of SHAP to understand and improve a machine learning model, using the example of a Taxi Cancellation Prediction model trained with…