Question 153 of 280
Single answerYou 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?
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.
✓
Correct Answer: C
Oversample the fraudulent transaction 10 times.
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Explanation
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