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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #152

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #152: Real Exam Question with Answer & Explanation

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Submitted by valeria.br· Apr 18, 2026ML model development

Question

You work for a magazine publisher and have been tasked with predicting whether customers will cancel their annual subscription. In your exploratory data analysis, you find that 90% of individuals renew their subscription every year, and only 10% of individuals cancel their subscription. After training a NN Classifier, your model predicts those who cancel their subscription with 99% accuracy and predicts those who renew their subscription with 82% accuracy. How should you interpret these results?

Options

  • AThis is not a good result because the model should have a higher accuracy for those who renew
  • BThis is not a good result because the model is performing worse than predicting that people will
  • CThis is a good result because predicting those who cancel their subscription is more difficult,
  • DThis is a good result because the accuracy across both groups is greater than 80%.

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Topics

#Class Imbalance#Model Evaluation#Accuracy Metrics#Minority Class Prediction
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