Quick Check 20.4 – Data 100, Summer 2020
The complexity of decision trees limits their use in many situations. However, modifications can be implemented to mitigate this. Which of the following are reasonable examples of such modifications? *
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To train a Random Forest regression model, fit a ___ to each of several ___ and select features at random for consideration at each node. *
The main idea behind ensemble prediction methods such as Random Forests is that aggregating predictions from predictors applied to multiple bootstrap samples of the training set: *
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