Support Vector Machine (SVM)
- A supervised learning algorithm that constructs a hyperplane or set of hyperplanes to separate and classify data points into different classes.
Good
- Good at high dimensional data.
- Can work on small dataset.
- Can solve non-linear problems.
Bad
- Inefficient on large data.
- Requires picking the right kernal.
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