The ability of SVMs to handle non-linear decision boundaries is achieved by transforming the input data into a higher-dimensional space using a ______.
- Classifier
- Dimensionality Reduction
- Ensemble
- Kernel
SVMs use a mathematical function called a kernel to transform data into a higher-dimensional space, enabling them to handle non-linear decision boundaries effectively.
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