{"blocks": [{"key": "6540bdb1", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "86819a21", "text": "Data scientists need a predictive model to estimate how the new 'Show similar products' button will influence buyer engagement.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d405a92e", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f0ba3fea", "text": "Describe how you would build a model—including feature selection, algorithm choice, sample-size considerations, evaluation and decision threshold—to predict engagement uplift and support the launch decision.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "adc2f44b", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "4f970ac7", "text": "Discuss demographic and behavioral features, pick algorithm based on data size, cross-validate, and translate predicted uplift into a launch recommendation.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}