Spam and Phishing Dataset for Email Classification

Kaggle hosts a dataset focused on spam and phishing content. The dataset likely contains records for training and evaluating email classification models. Its specific size, features, and collection methodology are not detailed in the available metadata.

Use Cases

• Train a binary classifier to distinguish spam from legitimate emails (inferred from domain, verify after download)
• Develop a phishing URL or content detector (inferred from domain, verify after download)
• Benchmark feature engineering techniques for text-based security applications (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with an active community for data sharing and discussion.
• The title directly indicates the dataset's focus on spam and phishing, a well-defined problem domain.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and data scale are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle