If the features of Model 1 are a strict subset of those in Model 2. which model will USUALLY have lower TEST error?Group of answer choicesModel 1It's impossible to tell with only this informationModel 2
Question
If the features of Model 1 are a strict subset of those in Model 2. which model will USUALLY have lower TEST error?Group of answer choicesModel 1It's impossible to tell with only this informationModel 2
Solution
It's impossible to tell with only this information. The test error of a model doesn't solely depend on the number of features it has. It also depends on how well the model generalizes the underlying pattern of the data. A model with more features (Model 2 in this case) might overfit the training data and perform poorly on the test data. On the other hand, a model with fewer features (Model 1) might underfit the data and also have a high test error. Therefore, without additional information, we cannot definitively say which model will have a lower test error.
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