Phishing-Website-Detection

This project focuses on detecting phishing websites using machine learning techniques. The goal is to build a predictive model that can accurately classify a website as either phishing or legitimate based on various extracted features.

The dataset includes features such as:

• URL length
• Use of HTTPS
• Presence of suspicious keywords
• Number of subdomains
• Domain age
• and many more

Model Evaluation

• Confusion Matrix
• Accuracy, Precision, Recall, F1-score
• ROC Curve (if applicable)
• Comparison between multiple classifiers