GCP Professional Machine Learning Engineer Q147

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?

A. Modify the target variable using the Box-Cox transformation.
B. Z-normalize all the numeric features.
C. Oversample the fraudulent transaction 10 times.
D. Log transform all numeric features.