Hi R User,
I was trying to find a final model in the following example by using the Boosted regression trees (GBM). The program gives the fitted values but I wanted to calculate the fitted value by hand to understand in depth. Would you give moe some hints on what is the final model for this example?
Thanks
KG
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The following script I used
#-----------------------
library(dismo)
data(Anguilla_train)
head(Anguilla_train)
angaus.tc5.lr01 <- gbm.step(data=Anguilla_train, gbm.x = 3:13, gbm.y = 2,
+ family = "bernoulli", tree.complexity = 5,
+ learning.rate = 0.01, bag.fraction = 0.5)
names(angaus.tc5.lr01)
[1] "initF" "fit"
[3] "train.error" "valid.error"
[5] "oobag.improve" "trees"
[7] "c.splits" "bag.fraction"
[9] "distribution" "interaction.depth"
[11] "n.minobsinnode" "n.trees"
[13] "nTrain" "response.name"
[15] "shrinkage" "train.fraction"
[17] "var.levels" "var.monotone"
[19] "var.names" "var.type"
[21] "verbose" "data"
[23] "Terms" "cv.folds"
[25] "gbm.call" "fitted"
[27] "fitted.vars" "residuals"
[29] "contributions" "self.statistics"
[31] "cv.statistics" "weights"
[33] "trees.fitted" "training.loss.values"
[35] "cv.values" "cv.loss.ses"
[37] "cv.loss.matrix" "cv.roc.matrix"
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