Become GARP Certified with updated RAI exam questions and correct answers
While using Naïve Bayes for text classification, a bank wants to classify customer feedback as “Good” or “Bad.” How does the model handle the probability of classifying feedback with words it hasn’t encountered?
A risk manager is evaluating an NLP-based sentiment analysis model that uses dictionary approaches across multiple datasets. He notices inconsistent results when analyzing different document types. What could explain this inconsistency?
Which term best describes a dataset that includes a mix of organized, structured financial data and unstructured text data from customer reviews?
A tech firm is developing a model to predict credit risk and wants to reduce testing bias while still evaluating performance. Which approach should it use?
What is a primary reason to remove duplicate observations during data cleaning?
© Copyrights DumpsCertify 2025. All Rights Reserved
We use cookies to ensure your best experience. So we hope you are happy to receive all cookies on the DumpsCertify.