This post discusses feature engineering, model training, and evaluation, as well as classification threshold selection for a data science case study on credit default prediction. It also mentions the upcoming Part 2, which will focus on explainable AI.
Table of contents
Data Science Case Study — Credit Default Prediction: Part 1Feature EngineeringModel TrainingModel EvaluationClassification Threshold9 Impressions