caret is an R package for classification and regression training.
I'm using the R GBM package for boosting to do regression on some biological data of dimensions 10,000 X 932 and I …
r optimization r-caret gbmFrom the documentation: For bootstrap samples, simple random sampling is used. For other data splitting, the random sampling is done …
r subset r-caret data-partitioningI trained a random forest using caret + ranger. fit <- train( y ~ x1 + x2 ,data = total_set ,method = "ranger" ,…
r machine-learning random-forest r-caretWhen I run 2 random forests in caret, I get the exact same results if I set a random seed: library(…
r r-caret reproducible-researchI do not understand which is the difference between varImp function (caret package) and importance function (randomForest package) for a …
r random-forest r-caret feature-selectionI am solving a multiclass classification problem and trying to use Generalized Boosted Models (gbm package in R). The issue …
r r-caretUsing R 3.2.0 with caret 6.0-41 and randomForest 4.6-10 on a 64-bit Linux machine. When trying to use the predict() method …
r formula random-forest r-caret predictI've been dealing with some extremely imbalanced data and I would like to use stratified sampling to created more balanced …
r random-forest r-caretWhen I install caret with. install.packages("caret", dependencies=c("Depends", "Suggests")) library(caret) ## Loading required package: lattice ## Loading required …
r ggplot2 r-caretWhats the difference between predict(rf, newdata=testSet) and predict(rf$finalModel, newdata=testSet) i train the model with preProcess=…
r classification prediction r-caret