2. Cost-sensitive and Value-driven models# 2.1. Cost-Sensitive Logistic Regression (CSLogit) 2.1.1. Regularization 2.1.2. Cost Matrix 2.1.3. Optimization 2.1.4. References 2.2. Cost-Sensitive Gradient Boosting (CSBoost & B2Boost) 2.2.1. CSBoost 2.2.2. Cost Matrix 2.2.3. B2Boost 2.2.4. References 2.3. Boosting Algorithms Custom Cost Functions 2.4. Robust Cost-Sensitive Classification (RobustCS) 2.4.1. Usage 2.4.2. References 2.5. Profit-Driven Logistic Regression (ProfLogit) 2.5.1. Regularization 2.5.2. Optimization 2.5.3. References