Professional-Machine-Learning-Engineer Exam Dumps | Your organization manages an online message board A few months ago, you discovered an increase in toxic

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Question 116/123

Your organization manages an online message board A few months ago, you discovered an increase in toxic language and bullying on the message board. You deployed an automated text classifier that flags certain comments as toxic or harmful. Now some users are reporting that benign comments referencing their religion are being misclassified as abusive Upon further inspection, you find that your classifier's false positive rate is higher for comments that reference certain underrepresented religious groups. Your team has a limited budget and is already overextended. What should you do?

A. Add synthetic training data where those phrases are used in non-toxic ways

B. Remove the model and replace it with human moderation.

C. Replace your model with a different text classifier.

D. Raise the threshold for comments to be considered toxic or harmful

Correct Answer: A

This approach would help to improve the performance of the classifier by providing it with more examples of the religious phrases being used in non-toxic ways. This would allow the classifier to better differentiate between toxic and non-toxic comments that reference these religious groups. Additionally, synthetic data is a cost-effective way to improve the performance of an existing model without requiring a significant investment in human resources.

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