You Are Building a Model to Predict Whether or Not

question 230

Multiple Choice

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.