Question

When do we do weight balancing in machine learning?

Answer 1

 I had an online course, where I learned, that unbalanced classes in the training data might lead to problems, because classification algorithms go for the majority rule, as it gives good results if the unbalance is too much. In an assignment one had to balance the data via undersampling the majority class.