Unverified60% confidenceFactExact time
SVM finds the optimal hyperplane by maximizing the classification margin, and its kernel trick can implicitly map data to a high-dimensional space to handle nonlinearly separable problems.
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60%
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Long-term
Relevance
8/28/2026
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