# ensemble-models

> Random Survival Forests extend the random forest algorithm to survival analysis with censored data. They build multiple decision trees on bootstrap samples

- Source: https://doutorai.pt/en/components/skills__ensemble-models
- Type: Skills
- Category: Scientific
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/ensemble-models && curl -fsSL https://doutorai.pt/data/lib/skills__ensemble-models.md -o .claude/skills/ensemble-models/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
# Ensemble Models for Survival Analysis

## Random Survival Forests

### Overview

Random Survival Forests extend the random forest algorithm to survival analysis with censored data. They build multiple decision trees on bootstrap samples and aggregate predictions.

### How They Work

1. **Bootstrap Sampling**: Each tree is built on a different bootstrap sample of the training data
2. **Feature Randomness**: At each node, only a random subset of features is considered for splitting
3. **Survival Function Estimation**: At terminal nodes, Kaplan-Meier and Nelson-Aalen estimators compute survival

- 🔒 Full content on the Pro plan (€7.99/month) -
```

## Related components

- [PocketBase API Rules](https://doutorai.pt/en/components/skills__pocketbase-api-rules): API rules and filter expressions for PocketBase access control. Use when setting permissions, writing filter expressions, configuring who ca
- [PocketBase Collections](https://doutorai.pt/en/components/skills__pocketbase-collections): Collection and schema design for PocketBase. Use when creating collections, designing schemas, adding fields, setting up relations, or choos
- [PocketBase Deploy](https://doutorai.pt/en/components/skills__pocketbase-deploy): Production deployment for PocketBase. Use when deploying PocketBase to a server, setting up Docker, configuring systemd, reverse proxy (ngin
- [PocketBase Hooks](https://doutorai.pt/en/components/skills__pocketbase-hooks): Server-side JavaScript hooks for PocketBase (pb_hooks). Use when writing custom routes, event hooks, cron jobs, sending emails, making HTTP 
- [PocketBase Migrations](https://doutorai.pt/en/components/skills__pocketbase-migrations): Schema migrations and versioning for PocketBase. Use when creating migrations, managing schema versions, syncing collections between environ
- [PocketBase SDK](https://doutorai.pt/en/components/skills__pocketbase-sdk): JavaScript SDK usage for PocketBase client applications. Use when calling PocketBase from frontend or Node.js, authenticating users, subscri

## Save hours every week with AI, no hassle

**Doutor AI** gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further. [See plans →](https://doutorai.pt/en/pricing)

---
Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__ensemble-models