# What is the accuracy majority class classifier?

I have an SFrame and a model:

train_data,test_data = products.random_split(.8, seed=0)
selected_words_model = graphlab.logistic_classifier.create(train_data,
target='sentiment',
features=selected_words,
validation_set=test_data)


After computing the accuracy of the model with selected_words_model.evaluate(test_data) I'm asked "What is the accuracy majority class classifier on this task?" Yet I don't even know what this "means accuracy majority class classifier", shouldn't it be "accuracy of the majority class classifier" ?

Here is my attempt.

All these materials come from this coursera ML fundations course exercise.

• Thank you ! That seems the most simple classification method ;) I still have one doube : how should I compare different learned models with the baseline approach where we are just predicting the majority class ? I tried a selected_words_model.show(view='Evaluation')` but it still might depend on the threshold ? – Revolucion for Monica Sep 5 '19 at 14:33