UCI’s Spambase
A public dataset for spam email classification, containing 4601 instances with 57 features, used for machine learning tasks.
Score
30
User Rating
3.0
Free/Trial Support
Not Supported
Starting Price
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Last Updated
Apr 24, 2026
Overview
What is UCI’s Spambase?
Spambase is a dataset from the UCI Machine Learning Repository for classifying emails as spam or non-spam, featuring 57 attributes including word frequencies and capital letter run-lengths.
What is UCI’s Spambase used for?
Top Features
- Multivariate dataset
- 4601 instances
- 57 features
- Spam/non-spam classification
- Publicly available
- Includes documentation
How to use UCI’s Spambase?
Download the dataset files or import via Python using the ucimlrepo package to fetch and analyze data for training spam filters or classification models.
Alternative Tools
No alternative tools found
Pros & Cons
Pros
- Free and open-source
- Well-documented
- Useful for research and education
- Supports machine learning tasks
Cons
- Dataset from 1999 may be outdated
- Limited to email spam context
- No built-in tools for analysis
Use Cases
- Training spam filters
- Academic research in machine learning
- Educational projects on classification
- Benchmarking algorithms
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