You 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?
A . Eliminate features that are highly correlated to the output labels.
B . Combine highly co-dependent features into one representative feature.
C . Instead of feeding in each feature individually, average their values in batches of 3.
D . Remove the features that have null values for more than 50% of the training records.
Answer: B
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