PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #31
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #31: 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
- AWrite your data in TFRecords.
- BZ-normalize all the numeric features.
- COversample the fraudulent transaction 10 times.
- DUse one-hot encoding on all categorical features.
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