bst <- xgboost(data = as.matrix(mtcars[, -11]), label = mtcars[, 11],
objective = 'count:poisson', nrounds = 5)
pred <- predict(bst, as.matrix(mtcars[, -11]))
sqrt(mean((pred - mtcars[, 11]) ^ 2))
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