DY0-001 · Question #18
A data scientist is developing a model to predict the outcome of a vote for a national mascot. The choice is between tigers and lions. The full data set represents feedback from individuals…
The correct answer is D. Out-of-sample data. The aggregated feedback covers only 80% of respondents, mostly from a few professions and locations, so the model hasn't "seen" the remaining 20% (and those underrepresented groups). Its performance on those unseen subsets (out-of-sample data) is therefore the primary concern…
Question
A data scientist is developing a model to predict the outcome of a vote for a national mascot. The choice is between tigers and lions. The full data set represents feedback from individuals representing 17 professions and 12 different locations. The following rank aggregation represents 80% of the data set:
Which of the following is the most likely concern about the model's ability to predict the outcome of the vote?
Exhibit
Options
- AInterpolated data
- BExtrapolated data
- CIn-sample data
- DOut-of-sample data
How the community answered
(57 responses)- A7% (4)
- B25% (14)
- C11% (6)
- D58% (33)
Explanation
The aggregated feedback covers only 80% of respondents, mostly from a few professions and locations, so the model hasn't "seen" the remaining 20% (and those underrepresented groups). Its performance on those unseen subsets (out-of-sample data) is therefore the primary concern for how well it will predict the actual vote.
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