Support Vector Machine, Support Vector Regression, Support Vector Classifier, Support Vectors, Machine Learning.
for making predictions on new data. The SVM model can be used to classify new data into one of the two classes, based on the decision boundary learned during training. Overall, the SVM algorithm works by finding the best hyperplane that maximizes the margin between the closest points of the two