Suppose you have trained a decision tree model called $\text{'}$dt$\text{'}$ in Python using sklearn.tree.DecisionTreeClassifier. Which of the following codes CAN be used to generate the testing accuracy of the decision tree $\text{'}$dt$\text{'}?$ The testing dataset $($features$)$ is X test', and the true testing label is

$\text{'}$Y$\_$test'.

$$a$)$ from sklearn.metrics import accuracy$\_$score

accuracy$\_$score$($y$\_$test, X$\_$test$)$

$$b$)$ dt$.$score$($X$\_$test$)$

$$c$)$ from sklearn.metrics import accuracy$\_$score accuracy$\_$scorely$\_$test, dt$.$predict$($X$\_$test$)$

$$d$)$ dt$.$accuracy$($X$\_$test, y$\_$test$)$