This is the release for artifact in The Web Conference 2024, for the paper "AdFlush: A Real-World Deployable Machine Learning Solution for
Effective Advertisement and Web Tracker Prevention". Follow the steps written in README.md to reproduce several processes in the framework of AdFlush. It includes feature engineering, model selection, performance evaluation upon several scenarios, and even feature extraction for newly proposed features. For more details, we recommend you to read the paper of AdFlush. Go to here for detailed instructions at our Github.