The bias of IB 1 to base classifications on all training examples available, no matter how low-frequent or exceptional, resulted in a markedly higher recall of up to 82 on noun attachment, indicating that there is more reliable information in local matching on lexical features and the cooccurrence feature than RIPPER estimates.
with a larger training corpus, we might not have found these differences in performance between IB 1 and RIPPER.