A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs

Figure 6

Boxplots of the average log-complexity of the extracted rulesets (-axis) with respect to each model (-axis). Complexity corresponds to the number of rule antecedents per ruleset. With respect to the -axis indexes 1 to 4 indicate BST-M with split parameter varying from 1 to 4, indexes from 5 to 8 are related to BST-G, indexes from 9 to 12 indicate BST-R results, and finally indexes from 13 to 17 correspond to DIMLP-B, DIMLP-A, QSVM-L, QSVM-P3, and QSVM-G, respectively.