Explainable ai-based framework for efficient detection of spam from text using an enhanced ensemble technique

HIGHLIGHTS

• What: By leveraging XAI`s interpretability the model elucidates the reasoning behind its classifications leading to the comprehension of hidden patterns associated with spam detection. This study compared traditional ML and DL models on a spam dataset to discover the best results. Due to their accuracy, implementation, and transparency, they are a suitable option for the research goals of this study.
• Who: gerry from the Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia have published the research: Explainable AI-based Framework for Efficient Detection of Spam from . . .
  

   

  

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