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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 interpret caret's variable importance and feature selection plots? [duplicate]

I am having some problems understanding the variable importance and feature selection graphs from caret. … Here some data: require(mlbench) require(caret) require(pglm) require(e1071) require(pROC) require(randomForest) data(Unions) # from the pglm package Unions <- Unions[c("id", "year", "union", "age", …
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