{"blocks": [{"key": "36786dbd", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e51415da", "text": "Model-development discussion with an ML engineering team evaluating how to select and validate predictive models for a new feature launch.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f12eef49", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "2e834410", "text": "Explain k-fold cross-validation and why it helps control overfitting. 2) How do you decide on the value of k and what trade-offs exist? 3) What is nested cross-validation and when is it preferred?", "type": "unordered-list-item", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f150ffa4", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "06621b32", "text": "Cover bias-variance trade-off, computational cost, data leakage, and hyper-parameter tuning.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}