Top 10 interesting facts about Support Vector Machine or SVM.
- Support Vector Machine or SVM is a non probabilistic Classifier Machine Learning Algorithm.
2. A version of SVM known as SVR (Support Vector Regression) is used for regression.
3. A variant of SVM called SVC (Support Vector Clustering) is used widely for unsupervised learning.
4. SVM can do classification of Images as well.
5. SVM can be used to recognize hand written characters.
6. Support Vectors are nothing but data points closest to decision plane.
7. SVM can do linear as well as non-linear classification.
8. SVM really works well with high dimensional data.
9. SVM is harder to train with large size of dataset.
10 . SVM performance decrease when dataset has more noise.
