The V_ variables are the predictions based on the validation data - so the proportion of validation obs. in the leaf with target=B1 for whatever leaf the current observation is in. The P_ is the same thing but using the training partition, and the actual prediction is based on this value.
The V_ variables are the predictions based on the validation data - so the proportion of validation obs. in the leaf with target=B1 for whatever leaf the current observation is in. The P_ is the same thing but using the training partition, and the actual prediction is based on this value.
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.