Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

machine-learning eda feature-selection feature-extraction cybersecurity phishing-attacks smote oversampling f1-score lazy-classifier voting-classifier phishing-detection phishing-urls true-positive-rate true-negative-rate stacking-classifier

• Updated Jan 12, 2024
• Jupyter Notebook

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

specificity tidy sensitivity kappa confusion-matrix rand fallout false-discovery-rate f1-score dice-coefficient precision-recall positive-predictive-value negative-predictive-value true-positive-rate true-negative-rate false-positive-rate false-negative-rate balanced-accuracy false-omission-rate peirce

• Updated Jul 10, 2020
• R