Learning from negative examples can be more effective when we can conclude that all inputs didn't work. The problem with positive examples is that we don't know

Learning from negative examples can be more effective when we can conclude that all inputs didn't work. The problem with positive examples is that we don't know which of the inputs was responsible for the positive result.