Topic 1 Question 141
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?
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.
This is not a good result because the model is performing worse than predicting that people will always renew their subscription.
This is a good result because predicting those who cancel their subscription is more difficult, since there is less data for this group.
This is a good result because the accuracy across both groups is greater than 80%.
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コメント(9)
- 正解だと思う選択肢: C
Answer C
👍 4TNT872022/12/27 - 正解だと思う選択肢: C
I think C is the only way
👍 3Scipione_2023/02/17 - 正解だと思う選択肢: C
Logically, it should be C.
👍 2ares812023/01/02
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