An Explainable AI-based Intrusion Detection System for DNS over HTTPS (DoH) Attacks

You can install the package through pip:

pip install explainerdashboard

or conda-forge:

conda install -c conda-forge explainerdashboard

##The library includes:

• Shap values (i.e. what is the contributions of each feature to each individual prediction?)
• Permutation importances (how much does the model metric deteriorate when you shuffle a feature?)
• Partial dependence plots (how does the model prediction change when you vary a single feature?
• Shap interaction values (decompose the shap value into a direct effect an interaction effects)
• For Random Forests and xgboost models: visualisation of individual decision trees
• Plus for classifiers: precision plots, confusion matrix, ROC AUC plot, PR AUC plot, etc

You can store explainers to disk with explainer.dump("explainer.pkl") and then run them from the command-line:

$ explainerdashboard run explainer.pkl