Kernel-based Predictive Classifier
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A kernel-based predictive classifier is a Predictive Classifier that is based on a Kernel-based Decision Boundary.
- Context:
- Does not require explicitly defined Features because the Feature Space is implicitly constructed based on the Kernel Function.
- It can be trained by a Support Vector Machine Algorithm.
- See: Kernel Function.