Table 11: Comparison of rule extraction algorithms for the Breast Cancer classification problem, based on 10-fold cross-validation on single networks or ensembles of neural networks (last two rows).

Rule extraction technique Rules Pred. Acc. Avg. #rules Avg. #Ant.

SSV (10 CV) [9] 96.3 (0.2) 3
FSM (10 CV) [9] 96.5 12
MINERVA (10 CV) [10] 94.5 (1.5) 4.2 3.3
NeuroLinear + GRG (10 CV) [11] 96.0 2
Re-RX + J48graft (10 × 10 CV) [12] 95.8 (1.6) 4.8 1.7
DIMLP-B (10 × 10 CV) 96.5 (0.3) 12.5 2.7