Support Vector Machine, Support Vector Regression, Support Vector Classifier, Support Vectors, Machine Learning.
Testing and Evaluation: After training the SVM model, we can test it on the testing data to evaluate its performance. The performance of the SVM model can be measured using metrics such as accuracy, precision, recall, and F1-score. Prediction: Once we have a satisfactory SVM model, we can use it