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By k-dense-ai

scikit-survival

k-dense-ai1.8k installs

Build survival models without leaking test data.

What it does

Guides the development and evaluation of survival-analysis pipelines with leakage-safe preprocessing and censoring-aware metrics.

When to use it

Use for right-censored survival modeling, model selection, time-dependent evaluation, and nonparametric competing-risk cumulative incidence with scikit-survival.

How to use it

It changes how the agent builds and evaluates survival-analysis code, requiring fold-contained preprocessing, independent evaluation, and training-only censoring estimates.

What you provide

  • An existing project

Uses

Good to know

  • advertises something the task does not need

Latest review

What you need · 3

Executable examples require Python 3.11 or later.

Requires uv; the setup instructions use it to create an isolated environment and install the pinned scientific stack.


Access · 2

This skill

https://arxiv.org/abs/2609.00065

Read

Fetches the publisher's paper metadata

scikit-survival

Execute

Installs the pinned survival-analysis stack