हाइपरपैरामीटर्स को मैन्युअली ट्यून करें

# Define hyperparameter grid.
hyperparams <- expand.grid(___ = 200, 
                           ___ = 1, 
                           ___ = 0.1, 
                           ___ = 10)

# Apply hyperparameter grid to train().
set.seed(42)
gbm_model <- train(diagnosis ~ ., 
                   data = bc_train_data, 
                   method = "gbm", 
                   trControl = trainControl(method = "repeatedcv", number = 5, repeats = 3),
                   verbose = FALSE,
                   ___ = hyperparams)