New Year Sale 2026! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Microsoft DP-100 Exam - Topic 5 Question 4 Discussion

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

You are a data scientist creating a linear regression model.

You need to determine how closely the data fits the regression line.

Which metric should you review?

Show Suggested Answer Hide Answer
Suggested Answer: A

Coefficient of determination, often referred to as R2, represents the predictive power of the model as a value between 0 and 1. Zero means the model is random (explains nothing); 1 means there is a perfect fit. However, caution should be used in interpreting R2 values, as low values can be entirely normal and high values can be suspect.

References:

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


by Mirta at May 07, 2022, 05:17 AM

Limited Time Offer

25%

Off

Get Premium DP-100 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Evette
4 months ago
Really? I thought precision was key in regression too.
upvoted 0 times
...
Colby
4 months ago
No way, it's all about RMSE for accuracy!
upvoted 0 times
...
Tamie
4 months ago
Wait, isn't Mean Absolute Error also important?
upvoted 0 times
...
Delmy
5 months ago
I agree, it's all about R-squared for fit.
upvoted 0 times
...
Providencia
5 months ago
Definitely the Coefficient of determination!
upvoted 0 times
...
Carlota
5 months ago
I’m leaning towards the coefficient of determination too, but I also remember that mean absolute error gives a good sense of the average error in predictions.
upvoted 0 times
...
Krissy
5 months ago
I feel like recall and precision are more for classification problems, not regression. So, I think they’re not relevant here.
upvoted 0 times
...
Gracia
5 months ago
I remember practicing with metrics like mean absolute error and root mean square error, but I’m not sure which one is best for this specific question.
upvoted 0 times
...
Carlee
5 months ago
I think the coefficient of determination is the one we use to see how well the data fits the regression line, right?
upvoted 0 times
...
Maile
5 months ago
Hmm, I'm not sure. The question doesn't provide a lot of detail on the specific requirements. I'll need to think this through carefully.
upvoted 0 times
...
Ranee
5 months ago
Ctrl+Z, that's the one! I'm pretty sure that's the command to suspend a foreground process and put it in the background.
upvoted 0 times
...
Kiley
5 months ago
Hmm, I'm a bit unsure about this one. Is the file considered code data, tabular data, or reference data? I'll need to think this through carefully.
upvoted 0 times
...
Alva
5 months ago
Hmm, this is a tricky one. I'll need to think carefully about the different encryption concepts and how they could be applied here.
upvoted 0 times
...

Save Cancel