rgbm
Partial Dependency plots and Gradient boosting (GBM package)
Is it possible to plot a partial dependency plot to display the class probability and estimate the effects of a predictor for a GBM model?
Something similar to partialPlot from randomForest package.
According to this article, a partial plot is doable with gbm.
Thanks in advance for your help.
Solution
I found the solution,
In order to estimate the effects of a predictor, one should use this:
plot(gbm.model, i.var = 1, lwd = 2, main = "")
i.var is the number of the variable predictor, in the order shown in your formula.
E.g y = x1+x2+x3
Thanks to Mr. Campbell
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