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Caret is an R package containing a set of functions that attempt to streamline the process of creating predictive models. Use this tag for any on-topic question that (a) involves caret either as a critical part of the question or expected answer, & (b) is not just about how to use caret or R.

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How to use rfe object with function pickSizeTolerance in R package caret

Ok, functions pickSizeTolerance and pickSizeBest are well documented in caret's ?rfFuncs The above written reproducible code can be further used following the documentation's example : example <- da …
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Prediction intervals for cubist model of R caret package

I am using model training function train from caret package to train cubist rule-based prediction model. How to generate the prediction intervals for a response variable of a new observation? … Here's a working example: library(caret) library(mlbench) data(BostonHousing) myControl <- trainControl(method = 'cv', repeats = 5, number = 10, …
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3k views

How to use rfe object with function pickSizeTolerance in R package caret

Reproducible code: library(caret) inTrain <- createDataPartition(y = iris[,4], p = .66, list = FALSE) training <- iris[ inTrain,] testing <- iris[ …
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What are RMSE SD and Rsquared SD metrics in resampling results using R package:caret?

I've been doing predictive modelling with R package caret. … Reproducible code: library(mlbench) data(BostonHousing) library(caret) ctrl <- trainControl(method = "cv", number = 2) lmFit <- train(medv ~ ., data = BostonHousing, method = "lm", trControl = ctrl) …
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