CompTIA
DY0-001 · Question #75
DY0-001 Question #75: Real Exam Question with Answer & Explanation
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Question
A data scientist uses a large data set to build multiple linear regression models to predict the likely market value of a real estate property. The selected new model has an RMSE of 995 on the holdout set and an adjusted R2 of .75. The benchmark model has an RMSE of 1,000 on the holdout set. Which of the following is the best business statement regarding the new model?
Options
- AThe model should be deployed because it has a lower RMSE.
- BThe model's adjusted R2 is exceptionally strong for such a complex relationship.
- CThe model fails to improve meaningfully on the benchmark model.
- DThe model's adjusted R2 is too low for the real estate industry.
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