Multiple Choice
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) Write your data in TFRecords.
B) Z-normalize all the numeric features.
C) Oversample the fraudulent transaction 10 times.
D) Use one-hot encoding on all categorical features.
Correct Answer:
Verified
Correct Answer:
Verified
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