The article discusses how decision trees in computer algorithms can sometimes include irrelevant information, making them less accurate. To fix this, the researchers used a new method called RULES to prune the decision tree, removing unnecessary details. They tested this on a sample problem and found that the pruned decision tree was more accurate and general than the original one.