In Charlie Munger‘s thinking model theory, he has mastered 80 or 90 models, which can solve 90% of the problems. He himself has mastered more than 100 models, which are still updated and iterated.
Decision tree model: it is composed of a decision graph and possible results, which is used to create a plan to reach the goal. Decision tree is a special tree structure, which is established and used to assist decision-making.
Decision tree in Computer Science
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As the most basic and common supervised learning model, decision tree is often used in classification and regression problems
It is especially popular in the fields of marketing and biomedicine, mainly because the tree structure is very similar to the decision-making process in the scenarios of sales and diagnosis.