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Svm - Why SVM is not good for imbalanced data?
Answer
Support vector machines (SVMs) are great when the dataset is well distributed, but they may not perform up to par when the dataset is unbalanced. In particular, support vector machine (SVM) classifiers might be biased towards the majority class and perform poorly on the minority class if trained on an unbalanced dataset.