Hyperplanes in Machine Learning | IABAC
A hyperplane in machine learning is a decision boundary that separates data points in classification tasks. In higher dimensions, it helps algorithms like Support Vector Machines divide different classes based on features to improve prediction accuracy.
https://iabac.org/blog/hyp...
A hyperplane in machine learning is a decision boundary that separates data points in classification tasks. In higher dimensions, it helps algorithms like Support Vector Machines divide different classes based on features to improve prediction accuracy.
https://iabac.org/blog/hyp...
11:00 AM - Jun 20, 2025 (UTC)
