Build a boosting model to predict NPV. In the gbm function, set distribution=gaussian, n.trees=5000, interaction.depth=4, shrinkage=0.0001, cv.folds

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Question:

Build a boosting model to predict NPV. In the gbm function, set distribution="gaussian", n.trees=5000, interaction.depth=4, shrinkage=0.0001, cv.folds = 6. Just before the function call set the seed value to 500. What is the total NPV from following the rule in the question above