# A Decision-Fusion-Based Ensemble Approach for Malicious Websites Detection
## 3 Materials and Methods
### Methodology of Proposed Approach
#### 3.2.1 Gradient-Boosting (GB) Classifier Method
The dataset used is publicly available in the following link: [[https://www.kaggle.com/datasets/xwolf12/malicious-and-benign-websites](https://www.kaggle.com/datasets/xwolf12/malicious-and-benign-websites)]([https://www.kaggle.com/datasets/xwolf12/malicious-and-benign-websites](https://www.kaggle.com/datasets/xwolf12/malicious-and-benign-websites)) (accessed on 15 June 2023). The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number (IF2/PSAU/2022/01/22879). The authors declare no conflict of interest. ## References

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