Oracle Exam 1Z0-1110-23 Topic 5 Question 13 Discussion

Actual exam question for Oracle's 1Z0-1110-23 exam

Question #: 13
Topic #: 5

[All 1Z0-1110-23 Questions]

You train a model to predict housing prices for your city. Which two metrics from the

Accelerated Data Science (ADS) ADSEvaluator class can you use to evaluate the regression model?

AExplained Variance Score

BF-1 Score

CWeighted Precision

DWeighted Recall

EMean Absolute Error

Show Suggested Answer

Suggested Answer: A, D

by Tonette at Feb 11, 2024, 04:19 AM

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Oneida

6 months ago

I agree, those are commonly used metrics for regression models. Explained Variance Score tells us how well the model is capturing the variance in the data.

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Shenika

6 months ago

I also believe Mean Absolute Error is important to consider, as it gives us an idea of how close the model's predictions are to the actual values.

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Madalyn

6 months ago

I think for evaluating the regression model, we can use the Explained Variance Score and Mean Absolute Error.

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Cordie

7 months ago

I think those two metrics are the ones we can use from the ADS Evaluator class.

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Shoshana

7 months ago

Yes, Explained Variance Score is also a good metric for evaluating regression models.

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Tomas

7 months ago

What about Explained Variance Score? Can we use that too?

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Cordie

7 months ago

I agree, Mean Absolute Error is a common metric for regression models.

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Shoshana

7 months ago

I think we can use Mean Absolute Error to evaluate the regression model.

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Tomas

7 months ago

I'm a bit nervous about this question on the exam.

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