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Exam DP-100 topic 7 question 8 discussion

Actual exam question from Microsoft's DP-100
Question #: 8
Topic #: 8
[All DP-100 Questions]

HOTSPOT -
You need to set up the Permutation Feature Importance module according to the model training requirements.
Which properties should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

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Suggested Answer:
Box 1: Accuracy -
Scenario: You want to configure hyperparameters in the model learning process to speed the learning phase by using hyperparameters. In addition, this configuration should cancel the lowest performing runs at each evaluation interval, thereby directing effort and resources towards models that are more likely to be successful.
Box 2: R-Squared
by hendrata at June 9, 2020, 7:45 p.m.

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Alexandra
Highly Voted 3 years, 3 months ago
because it is required to produce ROC curve, I think f-score is the correct answer for the classification task
upvoted 18 times
spaceykacey
1 year, 11 months ago
yes but why R2 as measure of performance?
upvoted 1 times
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hendrata
Highly Voted 3 years, 4 months ago
Why would we select Accuracy? This is a regression problem and not a classification problem, I would have thought we only need to select one of the answers in the regression box only.
upvoted 6 times
dev2dev
2 years, 7 months ago
this is indeed classification. check option again
upvoted 1 times
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phdykd
Most Recent 8 months ago
For the Permutation Feature Importance module, the following metrics should be selected for measuring performance: Metric for measuring performance for classification: A) F-Score Metric for measuring performance for regression: D) MAE or A) RMSE (depending on the specific requirements of the model training)
upvoted 1 times
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JJason
1 year, 11 months ago
why not RMSE?
upvoted 3 times
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Abhinav_nasaiitkgp
2 years, 9 months ago
Completely weird options as for classification we can use precision, recall and F score and Accuracy. Any option is not wrong.
upvoted 4 times
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swatidorge
2 years, 11 months ago
why not precision for classifications?
upvoted 1 times
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geraldhermannerich
3 years, 1 month ago
Isn't MAE a continous metric, hence not applicable here?
upvoted 1 times
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