Table 1 DT benefits and drawbacks

1—Easy to understand

2—Rapidly transformed into a set of production principles

3—Capable of classifying categorical and numerical outcomes, but only capable of generating categorical attributes

4—There are no a priori hypotheses on the validity of the outcomes

1—The ideal decision-making system can be thwarted, resulting in wrong decisions

2—The decision tree has multiple levels, which makes it confusing

3—The complexity of the decision tree's calculations may increase as training samples increase