{"blocks": [{"key": "10d6fc9f", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d4baec4a", "text": "Explain the principles and assumptions behind logistic regression. How does Naive Bayes work and when does it perform well? Describe the transformer architecture and why self-attention helps. What metrics would you use to evaluate a multi-class classification model and why? Compare bagging and boosting: how do they reduce error?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}