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Updated: Jun 28, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

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通过精确的Shapley值计算解释支向量机器预测的协议

Andrea Mastropietro1, Jürgen Bajorath2

  • 1Deparment of Computer, Control and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Via Ariosto 25, 00185 Rome, Italy.

STAR protocols
|April 12, 2024
PubMed
概括

本研究介绍了一个准确计算Shapley值的协议,以解释机器学习预测,特别是支持向量机器. 该方法提供定量特征分析和可视化,以便更好地解释模型.

关键词:
生物信息学是一种生物信息学.化学 化学 化学计算机科学 计算机科学

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Variation01:19

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