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.