Questions
Questions
Multiple choice

For doing Feature Selection, there is a Filtering approach and a Wrapper approach.  Highlight what is true.

Options
A.a) Filtering approach is helped by metrics like correlation to find the relation between a depending variable on an independent variable.
B.b) Filtering should be done first, and then the resulting datasets are used in the wrapper approach.
C.c) Wrapper is costly as it requires to iteratively select features and evaluate on the resulting model to decide on the impact.
D.d) Both approaches aim at reducing the number of features which is useful when the model is too large and might overfit.
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In tackling the question about feature selection, it helps to assess each statement on its own terms and link it to the core ideas of filtering and wrapper approaches. Option a) This claim says that filtering is aided by metrics like correlation to reveal the relationship between a dependent variable and an independent variable. Indeed, in filtering methods we typically compute ......Login to view full explanation

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