Support Vector Machine, Machine Learning, Data Science, Deep Learning.
but poorly on unseen data. One way to mitigate overfitting is to use regularization, which helps to constrain the model and prevent it from becoming too complex. Another issue that can arise with SVMs is class imbalance, which occurs when one class in the training data is much more prevalent than