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Final master's degree project. Machine learning models and techniques

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jvicentem/phishing-website-detection

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phishing-website-detection

Final master's degree project.

I used this dataset https://archive.ics.uci.edu/ml/datasets/phishing+websites and got good results using xgboost and a simple perceptron.

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Undersampling techniques were used such as One-Sided Selection and Condensed Nearest Neighbor and they massively improved the training time of SVM models and the accuracy/precision/F1 measures of SVM with RBF Kernel.

Creators of the dataset used: Mohammad, Rami, Thabtah, Fadi Abdeljaber and McCluskey, T.L. (2015) Phishing Websites Dataset. [Dataset] (Unpublished)