AI, Supervised Learning, Machine Learning.
adapted for regression tasks, known as Support Vector Regression (SVR). In SVR, the goal is to find a hyperplane that best fits the data with a specified margin of tolerance. It aims to minimize the deviation of predicted values from the actual values, providing a flexible approach for regression