Cloudera
DS-200 · Question #66
What are two defining features of RMSE (root-mean square error or root-mean-square deviation)?
The correct answer is B. It is the mean value of recommendations of the K-equal partitions in the input data D. It is appropriate for numeric data. See the full explanation below for the reasoning.
Question
What are two defining features of RMSE (root-mean square error or root-mean-square deviation)?
Options
- AIt is sensitive to outliers
- BIt is the mean value of recommendations of the K-equal partitions in the input data
- CIt is the square of the median value of the error where error is the difference between predicted
- DIt is appropriate for numeric data
- EIt considers the order of recommendations
How the community answered
(43 responses)- A5% (2)
- B79% (34)
- C14% (6)
- E2% (1)
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