PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #164
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #164: Real Exam Question with Answer & Explanation
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Question
You work for a bank and are building a random forest model for fraud detection. You have a dataset that includes transactions, of which 1% are identified as fraudulent. Which data transformation strategy would likely improve the performance of your classifier?
Options
- AModify the target variable using the Box-Cox transformation.
- BZ-normalize all the numeric features.
- COversample the fraudulent transaction 10 times.
- DLog transform all numeric features.
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