The problem of learning an optimal decision tree is known to be NP-complete under several aspects of optimality and even for simple concepts.[7][8] Consequently, practical decision-tree learning...
a decision making model allowes to predict or anticapete the out come of the decision before the real or actual decision is made. so form this definition we can understand how a desicion making model...
First it takes advantage of the sequential structure of decision tree branches so that the order of checking conditions and executing actions is immediately noticeable. Second, Conditions and actions...