The following displays a data table of hypothetical training and test data. We aim to determine if the test data is Positive $($P$)$ or Negative $($N$).$ Assuming a naive Bayes classifier using add$-1$ smoothing $($i$.$e$.,k=1),$ what is $(P|)?$

$\backslash$table$[[,$Reviews,Sentiment Class$],[$Training Data,Great movie.,Positive$],[$I enjoyed it$.,$Positive$],[$Not a fan.,Negative$],[$It is boring.,Negative$],[$Test Data,Enjoyed the good movie.,?