Support Vector Machines (SVM) are a type of supervised machine learning algorithm that can be used for both classification and regression challenges. However, they are primarily used for classification tasks. SVMs are particularly effective in high-dimensional spaces, making them suitable for cancer diagnosis and prognosis where data can be highly complex.
