概要
This skill provides a comprehensive toolkit for survival analysis, enabling AI agents and developers to model time-to-event data effectively within the scikit-learn ecosystem. It offers specialized guidance on handling right-censored observations, fitting proportional hazards models, building ensemble survival forests, and evaluating model performance using domain-specific metrics like the concordance index and Brier score. By integrating best practices for data preparation and model selection, it streamlines the development of predictive models for clinical trials, customer churn analysis, and equipment reliability engineering.
