{"blocks": [{"key": "ebf1e4c2", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d3152b4b", "text": "Detecting fake accounts on a social network", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "823ea7c3", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0802b5cf", "text": "Describe a full approach to identify fake accounts. Outline how you would build and train a model, including features. Which evaluation metrics would you monitor and how would you prioritize them?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "3a026315", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "75246f4d", "text": "Discuss labeling, class imbalance, precision-recall, business cost of errors.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}