Select An AI Action To Trigger Against This Article
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?
- A. This is not a good result because the model should have a higher accuracy for those who renew their subscription than for those who cancel their subscription.
- B. This is not a good result because the model is performing worse than predicting that people will always renew their subscription.
- C. This is a good result because predicting those who cancel their subscription is more difficult, since there is less data for this group.
- D. This is a good result because the accuracy across both groups is greater than 80%.
Suggested Answer:
C
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