The target variable for this modeling exercise is ANSWERED. In this dataset answered calls are the majority class. A simple classification model would be to always predict the majority class. We'll call this the majority class classifier. Always predicting the majority class will ensure that predictions are correct for a majority of cases. Our tree models should have better accuracy than the majority class classifier, which we will therefore use as a benchmark for evaluating these more complicated models. The proportion of answered calls in this dataset is equivalent to the accuracy of the majority class classifier. What is the accuracy of the majority class classifier in this case? Round your answer to three decimals