Explain AUC, imbalance, losses, and networks
Company: Boston Consulting Group
Role: Data Scientist
Category: Machine Learning
Difficulty: medium
Interview Round: Take-home Project
Quick Answer: This question evaluates a candidate's understanding of imbalanced classification and regression concepts, including ROC/PR curves and AUC, prevalence effects on metrics, loss functions (MSE vs MAE) and their gradients, and neural network training strategies for calibration and recall.