The RIPPER algorithm can create much more complex rules than can the 1R algorithm, as in can consider more than one feature. This means that it can create rules with multiple antecedents such as "if an animal flies and has fur, then it is a mammal." This improves the algorithm's ability to model complex data, but just like decision trees, it means that the rules can quickly become more difficult to comprehend.