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Google Professional Machine Learning Engineer Exam - Topic 7 Question 54 Discussion

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?
C) This is a good result because predicting those who cancel their subscription is more difficult, since there is less data for this group.
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.
D) This is a good result because the accuracy across both groups is greater than 80%.

Google Professional Machine Learning Engineer Exam - Topic 7 Question 54 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 54
Topic #: 7
[All Professional Machine Learning Engineer Questions]

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?

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Suggested Answer: C

by Vilma at Oct 22, 2022, 01:39 PM

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Terry
9 months ago
82% for renewals is kinda low, right?
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Lacey
9 months ago
But shouldn't we expect higher accuracy for renewals?
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Sommer
9 months ago
I think it's impressive that they nailed the cancellations!
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Viva
9 months ago
99% accuracy on cancellations? Sounds too good to be true.
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Huey
9 months ago
90% renew their subscription, only 10% cancel.
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Queenie
9 months ago
I think option D sounds reasonable since both accuracies are above 80%, but I'm not confident if that alone makes it a good result.
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Stanton
9 months ago
I feel like option A could be misleading. Just because the renewal accuracy is lower doesn't mean it's a bad model overall.
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Krystal
9 months ago
I remember a practice question where we discussed the importance of accuracy in imbalanced datasets. Maybe option C is valid because predicting cancellations is harder?
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Cassandra
10 months ago
I'm not entirely sure, but I think option B might be right since the model should ideally do better than just guessing everyone renews.
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Donte
10 months ago
Disabling query folding on the long-running queries could be worth a shot. I'll make sure to test that out.
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Lera
10 months ago
I'm pretty confident I know the answer to this one. I think it's option B - Yes, creating a Read Replica of another Read Replica is supported.
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Tawna
10 months ago
Hmm, I'm a bit unsure about this one. The options seem similar, and I want to make sure I understand the differences between them before selecting an answer.
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