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Exam DP-100 topic 5 question 4 discussion

Actual exam question from Microsoft's DP-100
Question #: 4
Topic #: 5
[All DP-100 Questions]

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You train a classification model by using a logistic regression algorithm.
You must be able to explain the model's predictions by calculating the importance of each feature, both as an overall global relative importance value and as a measure of local importance for a specific set of predictions.
You need to create an explainer that you can use to retrieve the required global and local feature importance values.
Solution: Create a TabularExplainer.
Does the solution meet the goal?

  • A. Yes
  • B. No
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

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hendriktytgatpwc
Highly Voted 3 years, 9 months ago
This answer should be YES: Tabular Explainer can explain local and global plus it works with Logistic Regression, only explainer that doesn't explain local is PFI explainer
upvoted 26 times
Moshekwa
3 years, 4 months ago
Answer is indeed Yes.. https://docs.microsoft.com/en-us/learn/modules/explain-machine-learning-models-with-azure-machine-learning/3-explainers
upvoted 2 times
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PI_Team
Most Recent 1 year ago
Selected Answer: A
Correct answer is YES
upvoted 1 times
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phdykd
1 year, 9 months ago
A Yes. Based on the documentation - both Mimic and tabular explainer will be able to explain global and local, feature importance https://docs.microsoft.com/en-us/learn/modules/explain-machine-learning-models-with-azure-machine-learning/3-explainers.
upvoted 1 times
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therealola
2 years, 6 months ago
On exam 18-06-22
upvoted 1 times
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synapse
2 years, 9 months ago
Selected Answer: A
PFIExplainer is the only explainer that does not support local importance
upvoted 2 times
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dija123
3 years ago
The answer should be Yes for Tabular Explainer
upvoted 2 times
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azurecert2021
3 years, 5 months ago
answer should be yes Permutation Feature Importance (PFI) model explainer canonly be used to explain how strongly the features contribute to the prediction at the dataset level, itdoesn’t support evaluation of local importances. Mimic Explainer can be used for interpreting both the global andlocal importance of features, Tabular Explainer can be used for interpreting both the globaland local importance of features
upvoted 3 times
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azurecert2021
3 years, 5 months ago
answer should be yes Tabular Explainer can be used for interpreting both the global and local importance of features
upvoted 1 times
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iamnagesh
3 years, 6 months ago
https://docs.microsoft.com/en-us/learn/modules/explain-machine-learning-models-with-azure-machine-learning/3-explainers
upvoted 1 times
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jasonbourne7158
3 years, 7 months ago
It should be: Yes.
upvoted 2 times
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kty
3 years, 9 months ago
PFIExplainer does not support local explanations.
upvoted 4 times
Anty85
3 years, 8 months ago
Yet the tabular one does, so the provided answer is wrong...
upvoted 3 times
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hendriktytgatpwc
3 years, 9 months ago
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability-aml
upvoted 1 times
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B (20%)
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