Explain train-test generalization gap
Company: ByteDance
Role: Data Scientist
Category: Machine Learning
Difficulty: easy
Interview Round: Technical Screen
Overview: This question evaluates understanding of model generalization and diagnostic competence within Machine Learning and Data Science, covering overfitting, data leakage, and train–test distribution shift across both classical models and deep learning architectures and requiring both conceptual understanding and practical application skills.