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How to train a decision tree in R?

Let's say I have the following datasets. set.seed(123) n <- nrow(iris) indices <- sample(n, n * 0.8) treino <- iris ... ood if the answer included a brief explanation of what a decision tree is and the problems where this solution is often used.