scikit-survival · v1.0.0
scikit-survival: Survival Analysis in Python
★ Not rated yet Review score 88/100 ✓ Scanned English Exchange · 1 credit
What it does
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
Requirements
- Works with Claude Code, Codex
- No scripts included
- 1 file, 16 KB
Lineage
Each strand is a contributor. Each crossing is a version. Version historyVersions
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- v1.0.0 MAJOR Current
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