I²DS: Interpretable Intrusion Detection System Using Autoencoder and Additive Tree

Table 2

Summary of related work of interpretability.

Reference	Main work in interpretability
[13]	Using the decision tree encodes CNN’s decision pattern as the quantitative basis of each prediction that can explain CNN’s prediction at the semantic level
[14]	Using gradient boosting to replace gini to improve the predictive performance of the decision tree
[15]	Explaining and redefining interpretability from three aspects, predictive accuracy, descriptive accuracy, and relevancy