Machine learning--Non-equilibrium classification problem

In the classification of machine learning, we all assume that the classification cost of all categories is the same. But in fact, the cost of different classifications is not the same, for example, we detect the disease through a system to determine whether the horse can continue to survive, if we detect the survival of the horse to disease, then the horse may be executed euthanasia, if we detect the survival of the horse to health, Then we will continue to feed the horse. One price is to kill an expensive animal at the cost of continuing feeding, and it is clear that the two costs are different.

Machine learning--Non-equilibrium classification problem