Support Vector Machine, Support Vector Regression, Support Vector Classifier, Support Vectors, Machine Learning.
unseen data. SVM is relatively insensitive to the presence of irrelevant features or noisy data. SVM provides a unique solution to the optimization problem, unlike other machine learning algorithms such as neural networks and decision trees, which can have multiple local optima. Disadvantages: SVM