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?
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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