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Microsoft DP-100 Exam - Topic 5 Question 76 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 76
Topic #: 5
[All DP-100 Questions]

You create a binary classification model.

You need to evaluate the model performance.

Which two metrics can you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Show Suggested Answer Hide Answer
Suggested Answer: B, C

The evaluation metrics available for binary classification models are: Accuracy, Precision, Recall, F1 Score, and AUC.

Note: A very natural question is: 'Out of the individuals whom the model, how many were classified correctly (TP)?'

This question can be answered by looking at the Precision of the model, which is the proportion of positives that are classified correctly.


https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance

by Refugia at Nov 20, 2022, 07:34 PM

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Jacqueline
4 months ago
Surprised that coefficient of determination isn't on the list!
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Levi
4 months ago
I thought mean absolute error was for regression, not classification?
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Pearly
4 months ago
Wait, isn't relative absolute error also relevant?
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Dante
5 months ago
Totally agree, those are the go-to metrics!
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Yaeko
5 months ago
You can use precision and accuracy for binary classification.
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Queen
5 months ago
I think relative absolute error and mean absolute error are more for regression models, right? So I guess they wouldn't apply here.
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Shannan
5 months ago
I’m leaning towards precision and accuracy as well, but I keep mixing up the definitions of those metrics.
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Leota
5 months ago
I remember practicing with similar questions, and I feel like accuracy is definitely one of the metrics we should use. Not sure about the second one though.
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Venita
5 months ago
I think precision and accuracy are the most relevant metrics for evaluating a binary classification model, but I'm not entirely sure if I should pick both.
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Ira
5 months ago
This looks like a tricky Citrix responder policy question. I'll need to carefully read through the configuration details and think through the potential effects.
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Candida
5 months ago
This seems like a straightforward quality assurance question. I'll focus on the key details - statistical sampling, inspection, and determining if the product performs as expected. I think the output is likely to be quality metrics or a quality audit report.
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Julieta
5 months ago
Hmm, this one seems a bit tricky. I'm guessing "American Service" has to do with the level of service provided to guests, like extra amenities or flexibility around check-out times. I'll read through the options carefully to see if I can figure it out.
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