ROCAnalysis
Evaluate binary classifiers with ROC curves and metrics.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is ROCAnalysis?
ROCAnalysis is a Julia library for evaluating probabilistic binary classifiers using Receiver Operating Characteristic (ROC) curves and associated metrics, aiding in the assessment of model performance.
Key differentiator
“ROCAnalysis stands out by offering a specialized and comprehensive approach to ROC curve analysis within the Julia ecosystem, providing detailed metrics and support for probabilistic classifiers.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
Researchers who need a robust library for ROC curve analysis in Julia projects
Developers working with probabilistic classifiers who require detailed performance metrics
✕ Not a fit for
Projects requiring real-time classifier evaluation due to computational overhead
Users looking for a web-based interface or service, as it is a local library
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 ROCAnalysis
Step-by-step setup guide with code examples and common gotchas.