Imagine you need to create a predictive model in R. Can you walk me through the steps you would take and the packages you might use?
- Buy more computing power, Choose any model, Ignore understanding the problem
- None of the above
- Start by choosing a model, Ignore data preprocessing, Use any package randomly
- Understand the problem, Preprocess the data, Choose an appropriate model, Use caret or equivalent package for modeling
The first step in building a predictive model should be understanding the problem at hand and the data available. Preprocessing of the data would come next. Then, choosing an appropriate model based on the problem and data is crucial. The caret package in R provides functions to streamline the model building process.
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