Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
help to reduce the variance of the model and improve its robustness. Boosting: Boosting combines multiple SVMs, where each SVM focuses on the mistakes of the previous SVM. This can help to reduce the bias of the model and improve its accuracy. Stacking: Stacking combines multiple SVMs by training a