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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.
0
votes
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 …
0
votes
1
answer
883
views
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, …
0
votes
1
answer
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[ …
2
votes
2
answers
4k
views
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) …