Machine Learning Credit Scoring Model

Design an advanced credit scoring model using ensemble machine learning techniques that goes beyond traditional linear models. Implement gradient boosting, support vector machines, and neural network approaches to predict credit risk. The model must handle feature engineering, manage class imbalance, provide model interpretability, and generate comprehensive risk profiles with uncertainty quantification.