Web Page Phishing Detection for Binary Classification

Serving as designed for binary classification to detect phishing in web pages. It is tagged for exploratory data analysis and classification tasks.

Use Cases

• Train a binary classification model to distinguish phishing web pages from legitimate ones.
• Perform exploratory data analysis on web page features to identify patterns associated with phishing.
• Build a feature importance analysis to understand which attributes are most predictive of phishing.

Strengths

• Dataset is explicitly tagged for binary classification tasks.

Limitations

• The dataset's size, features, and sample data are unknown, limiting reproducibility and model training.

Provenance

Source

Kaggle