evaluation-metrics

Evaluating survival models requires specialized metrics that account for censored data. scikit-survival provides three main categories of metrics: 1. Concordance Index (C-index) 2. Time-dependent ROC and AUC 3. Brier Score

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Content

# Evaluation Metrics for Survival Models

## Overview

Evaluating survival models requires specialized metrics that account for censored data. scikit-survival provides three main categories of metrics:
1. Concordance Index (C-index)
2. Time-dependent ROC and AUC
3. Brier Score

## Concordance Index (C-index)

### What It Measures

The concordance index measures the rank correlation between predicted risk scores and observed event times. It represents the probability that, for a random pair of subjects, the model correctly orders their survival times.

**Range**: 0 to 1
- 0.5 = random predictio

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