feature-selection-stability-across-folds v1.0.0A

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---
name: feature-selection-stability-across-folds
description: Skill for feature selection stability across folds
domain: Financial ML
subdomain: Feature Selection
tags:
- ml
- trading
brokers_frameworks:
- scikit-learn
version: 1.0.0
author: System
license: MIT
---

# feature-selection-stability-across-folds

## When to Use
Use when implementing feature selection stability across folds in financial ML workflows.

## Prerequisites
- Python 3.9+
- scikit-learn

## Workflow
1. Initialize the components
2. Process the input data
3. Return outputs

## Common Pitfalls
- Overfitting
- Lookahead bias

## Verification
- Run tests in the scripts folder

## Related Skills
- feature-engineering