Python implementation of Fuzzy Support vector Machines. Uses of Fuzzy Vector Machine are:
- Removing Outliers
- Can be applied on the data where recent data is more priortized
- One class is more important than other
As an example i implimented Fuzzy SVM taking one class as more important Precision was increased from 97% to 100% Recall was increased from 97% to 100%