Advantages and disadvantages of various classifiers
Classifier | Advantage | Disadvantage |
---|---|---|
Support vector machine (SVM) | Performs relatively well when a clear margin of separation exists between classes | Does not perform well when dataset contains a high amount of noise |
K-nearest neighbor (KNN) | Simple implementation | Lazy learner |
Decision tree | Does not require data scaling | Expensive; time required to train the model is long |
Fuzzy | Performs well with noise | Not always accurate because predictions are based on assumptions |