The article compares two types of classification models to see which one is better at predicting outcomes when the response categories are ordered. The researchers looked at how well Anderson's ordinal logistic regression model performed compared to the multinomial logistic model. They found that incorporating an assumption of ordinality into the classification model can improve its accuracy in predicting outcomes.