On its own, the method basically inherits a part of the detrimental "forgetting exceptions is harmful" effect from its ruleinduction source (this effect is stronger when % Correct test instances Task   IBI-IG  RBM  IBi-IG-bRBM   CAR 93.9 ± 2.1 98.9 ± 0.8 97.2 ± 1.3 NURSERY 94.6 ± 0.6 98.6 ± 0.5 98.7 ± 0.2 SPLICE 91.7 ± 1.1 89.0 ± 2.1 92.7 ± 1.7 Table 5: Average generalisation accuracies of IBi-IG, RIPPER, and RBM on three machinelearning benchmark tasks.
rIPPEr's ability to represent sets of values at left-hand side conditions, and its flexibility in producing larger or smaller numbers of rules.