Decision Rules
A decision rule makes a choice using an optimality criterion. Some commonly used criteria are:
- Minimax: Choose the decision rule with the lowest worst loss — that is, minimize the worst-case (maximum possible) loss:
- Invariance: Choose the optimal decision rule which satisfies an invariance requirement.
- Choose the decision rule with the lowest average loss (i.e. minimize the expected value of the loss function):
Read more about this topic: Loss Function
Famous quotes containing the words decision and/or rules:
“Drug misuse is not a disease, it is a decision, like the decision to step out in front of a moving car. You would call that not a disease but an error of judgment.”
—Philip K. Dick (1928–1982)
“Rules and particular inferences alike are justified by being brought into agreement with each other. A rule is amended if it yields an inference we are unwilling to accept; an inference is rejected if it violates a rule we are unwilling to amend. The process of justification is the delicate one of making mutual adjustments between rules and accepted inferences; and in the agreement achieved lies the only justification needed for either.”
—Nelson Goodman (b. 1906)