सबसे बेहतर प्रदर्शन करने वाला पैरामीटर

# Generate validate predictions for each model
cv_prep_tunerf <- cv_model_tunerf %>% 
  mutate(validate_predicted = map2(.x = ___, .y = ___, ~predict(.x, .y)$predictions))

# Calculate validate MAE for each fold and mtry combination
cv_eval_tunerf <- cv_prep_tunerf %>% 
  mutate(validate_mae = map2_dbl(.x = ___, .y = ___, ~mae(actual = .x, predicted = .y)))

# Calculate the mean validate_mae for each mtry used  
cv_eval_tunerf %>% 
  group_by(___) %>% 
  summarise(mean_mae = mean(___))