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Update HUB SDK Docs (#13309)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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docs/en/guides/kfold-cross-validation.md
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---
comments: true
description: An in-depth guide demonstrating the implementation of K-Fold Cross Validation with the Ultralytics ecosystem for object detection datasets, leveraging Python, YOLO, and sklearn.
keywords: K-Fold cross validation, Ultralytics, YOLO detection format, Python, sklearn, object detection
description: Learn to implement K-Fold Cross Validation for object detection datasets using Ultralytics YOLO. Improve your model's reliability and robustness.
keywords: Ultralytics, YOLO, K-Fold Cross Validation, object detection, sklearn, pandas, PyYaml, machine learning, dataset split
---
# K-Fold Cross Validation with Ultralytics