Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
gamma value leads to more complex decision boundaries that can better fit the training data (higher variance). Conversely, a lower gamma value makes the decision boundary smoother and may result in underfitting (higher bias). The choice of gamma depends on the specific dataset and the desired