# Making predictions

y$\_$train$\_$pred $=$ model.predict$($X$\_$train$)$

y$\_$test$\_$pred $=$ model.predict$($X$\_$test$)$

# Calculate the accuracy

from sklearn.metrics import accuracy$\_$score

train$\_$accuracy $=$ accuracy$\_$score$($y$\_$train, y$\_$train$\_$pred$)$

test$\_$accuracy $=$ accuracy$\_$score$($y$\_$test, y$\_$test$\_$pred$)$

print$(\text{'}$The training accuracy is$\text{'},$ train$\_$accuracy$)$

print$(\text{'}$The test accuracy is$\text{'},$ test$\_$accuracy$)$