Question

A realtor is studying housing values in the suburbs of Boston, and has given you a dataset with the following attributes for each house: crime rate in the neighborhood, proximity to the Charles River, number of rooms, house color, age of unit, distance to five Boston employment centers, pupil-teacher ratio by town, and house value (the target variable with values high and low). The realtor would like you to build a classification model that not only performs well, but is also easy to interpret. Between nearest neighbor classifiers, C4.5, and ensemble methods, which approach would you choose and why?

Answer 1