Support Vector Machine, Support Vector Regression, Support Vector Classifier, Support Vectors, Machine Learning.
can be computationally expensive for large datasets, especially when using non-linear kernels. SVM is sensitive to the choice of kernel function and its parameters. Choosing the wrong kernel function or its parameters can result in poor classification performance. SVM can be sensitive to the