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Amazon MLS-C01 Exam - Topic 10 Question 16 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 16
Topic #: 10
[All MLS-C01 Questions]

A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.

Based on this information, which model would have the HIGHEST recall with respect to the fraudulent class?

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Suggested Answer: C

by Helene at May 05, 2022, 12:47 AM

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Pearlene
4 months ago
I disagree, I believe a single perceptron could work too!
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Werner
4 months ago
Definitely leaning towards the decision tree for higher recall.
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Gracia
4 months ago
Wait, Naive Bayes? Really? That seems risky!
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Arlen
4 months ago
I think SVMs might actually perform better here.
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Nan
5 months ago
Decision trees are great for handling categorical data!
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Krissy
5 months ago
This is a tricky one. I'll need to think carefully about the role of a developer with QA skills.
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Kimberely
5 months ago
This looks straightforward enough. I'm pretty confident I can identify the two correct expressions.
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Devora
5 months ago
This question seems straightforward, I'm pretty confident I know the answer.
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