In reality, you may find that you either cannot find a linearly separable dimension for your dataset for machine learning, or you may find that your support vector machine has significant overfitment to your data. You know you have overfitment if you have a large percentage of your dataset as support vectors. The softmargin SVM allows for some wiggle room with separation.
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