Meka
Open-source multi-label classification extension for Weka.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is Meka?
Meka is an open-source implementation of methods for multi-label classification and evaluation, extending the capabilities of Weka. It offers advanced techniques for handling complex datasets with multiple labels per instance.
Key differentiator
“Meka stands out by providing specialized multi-label classification methods and evaluation techniques that extend the capabilities of Weka, making it ideal for complex datasets with multiple labels per instance.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Researchers and developers working on projects that require handling datasets with multiple labels per instance.
Teams looking to extend their machine learning capabilities in Weka with multi-label classification techniques.
✕ Not a fit for
Projects requiring real-time processing or streaming data, as Meka is designed for batch processing.
Applications needing a web-based interface; Meka operates primarily through Java libraries.
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Next step
Get Started with Meka
Step-by-step setup guide with code examples and common gotchas.