Support Vectors
Python'da Lineer Sınıflandırıcılar
Michael (Mike) Gelbart
Instructor, The University of British Columbia
What is an SVM?
- Linear classifiers (so far)
- Trained using the hinge loss and L2 regularization
- Support vector: a training example not in the flat part of the loss diagram
- Support vector: an example that is incorrectly classified or close to the boundary
- If an example is not a support vector, removing it has no effect on the model
- Having a small number of support vectors makes kernel SVMs really fast
Max-margin viewpoint
- The SVM maximizes the "margin" for linearly separable datasets
- Margin: distance from the boundary to the closest points
Max-margin viewpoint
- The SVM maximizes the "margin" for linearly separable datasets
- Margin: distance from the boundary to the closest points
