{"blocks": [{"key": "615536e0", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "e6fbb3b0", "text": "Credit-risk product expansion discussion", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "560ccce1", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1f91d665", "text": "Current lending model was trained only on applicants with credit score ≥650. Management now wants to lend to scores <650. How can you leverage the existing model and data to score the new population?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "fcf4b610", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "661e9ced", "text": "Domain shift handling: covariate shift, synthetic data, boundary expansion, semi-supervised learning, monotonic constraints.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}