Machine Learning Credit Default Prediction Model

Construct an advanced machine learning-enhanced credit default prediction model in Excel using logistic regression and ensemble methods. Develop VBA macros that can train predictive models using historical financial data, with automated feature selection and cross-validation. Create an interactive dashboard that provides real-time default probability estimates, including confidence intervals and model performance metrics. Implement sophisticated data preprocessing techniques and visualization of model accuracy.