train_control_scaled_xgbt <- trainControl(method = “repeatedcv”, number = 10, repeats = 3, search = “random”, verboseIter = TRUE, savePredictions = “final”, returnResamp = “all”) model_test_3_scaled_xgbt_2 <- train(HC50.exp ~ ., data = train_data_3_scaled_xgbt, method = “xgbTree”, trControl = train_control_scaled_xgbt, tuneLength = 50) I’m using the caret package to perform hyperparameter tuning with repeated ten-fold cv for an […]