Question 60 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?
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.
✓
Correct Answer: C
Oversample the fraudulent transaction 10 times.
▥
Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of Google certification topics.