What are the pros and cons of Support Vector Machine (SVM) algorithm?
Support Vector Machine (SVM) algorithm has following pros and cons:
Pros:
Clear: SVM provides a clear separation of data into classes. It works well and provides a clear margin of separation between classes.
High dimension: SVM is effective in classifying data in high dimensional space.
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