Imagine a Naive Bayes Classification model were trained on just three labelled movie reviews:

Review Label

The comedy genre has always been one of my favourites, and this movie didn$$t disappoint! positive

The runtime was too long and the film was BORING negative

You could see the plot twist coming from a mile away negative

Note that, in practice, a much larger training dataset would be required for an accurate model to perform, but for this question, you can assume this is the entire training dataset.

How would a model trained on this training data label the following movie review, and why?

I hate comedy movies