About this document
A New Framework For Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart Cities by indhu9186 is a document available to read on EtoBox.
The document presents a new framework for detecting fraud in Bitcoin transactions using an ensemble stacking model, which combines multiple machine learning classifiers to improve accuracy. The proposed model employs techniques such as data balancing, hyperparameter tuning, and SHapley Additive exPlanation (SHAP) for interpreting predictions, achieving high performance metrics including an F1-score of 97% and AUC-ROC of 99%. This research addresses the limitations of existing fraud detection methods and aim
- Author
- indhu9186
- Language
- EN