{"blocks": [{"key": "db345996", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "22974a97", "text": "Model evaluation and regularization choices in predictive analytics.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "4dee7ba5", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "34716321", "text": "Define precision and recall; when is each more important? Compare L1, L2, L0, and L-infinity regularization and give use cases. List the key assumptions of linear regression. Write the formulas for logistic regression and linear regression and contrast them.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3a5746de", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b01b2c15", "text": "Mention sparsity, overfitting control, and link functions.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}