Question 27 of 307
Single answerYou are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?
AEliminate features that are highly correlated to the output labels.
✓BCombine highly co-dependent features into one representative feature.
CInstead of feeding in each feature individually, average their values in batches of 3.
DRemove the features that have null values for more than 50% of the training records.
✓
Correct Answer: B
Combine highly co-dependent features into one representative feature.
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Explanation
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