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Question 60

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.

 

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