Question: In the training of many classification methods, hyper-parameters such as the regularization numbers of Support Vector Machines are involved. What is the risk of tuning

In the training of many classification methods, hyper-parameters such as the regularization numbers of Support Vector Machines are involved. What is the risk of tuning the hyper-parameters on the test dataset? How hyper-parameters should be tuned to avoid this risk?

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