{"id":154437,"date":"2022-06-01T09:38:43","date_gmt":"2022-06-01T04:08:43","guid":{"rendered":"https:\/\/cbselibrary.com\/?p=154437"},"modified":"2022-06-01T12:08:21","modified_gmt":"2022-06-01T06:38:21","slug":"advantages-and-disadvantages-of-decision-tree","status":"publish","type":"post","link":"https:\/\/cbselibrary.com\/advantages-and-disadvantages-of-decision-tree\/","title":{"rendered":"Top 5 Advantages and Disadvantages of Decision Tree | Types, Pros and Cons, Benefits and Drawbacks"},"content":{"rendered":"
Advantages and disadvantages of Decision Tree: <\/b>A Decision tree is a Diagram that is used by analysts to decide the outcome of any process that is usually a favourable result. It is a flow chart-like structure that provides the algorithm with decision-making steps with the controlled statement. A decision tree helps people to choose the various decision-making option. We can create it simply by hand or by using specific software.<\/p>\n
Students can also find more\u00a0Advantages and Disadvantages<\/strong><\/a>\u00a0articles on events, persons, sports, technology, and many more.<\/p>\n A Decision Tree is a graphical representation or diagram of a problem with different possible outcomes or results. It is useful in making decisions when we have various possibilities of outcome and looking at the decision tree, we can choose the favourable result process. The main benefit of a decision tree is that it is easy to understand and follow. The basic structure of a Decision tree starts with the root node, leaf node, and branches. Every node comes with two or more possibilities for the problem, which makes the situation easier to understand with choosing the best outcome. It can be smaller in size and also sometimes a little bigger and more complex according to the problem or situation.<\/p>\n There are two types of Decision trees, they are:<\/p>\n Categorical variable decision tree:<\/b> A categorical variable decision tree make categorical target variables that are divided the nodes into two categories that give options like yes or No. Generally, in this, every stage falls into yes, but No is in between the node. Mostly it gives a series of nodes that provide choices in Yes and No.<\/p>\n Continuous variable decision tree:<\/b> Continuous variable decision tree is a tree that uses continuous target variables to predict data output. If we want to calculate the price of any material, then we have to calculate it by including other factors that affect the price of the material and then it continues by keeping the base price which was firstly calculated then various factors new price variability.<\/p>\n Now let us discuss the various Advnatagesof the Decision tree.<\/p>\n <\/p>\n A decision tree is needed when we want to make a decision on a particular problem and it helps to show the clear calculation and possibility of the outcome. So it is very useful in many ways. Here are some Advantages of the Decision Tree<\/p>\n These were some of the advantages of a Decision tree which shows the decision tree is easy to create and understand using less amount of data.<\/p>\n Some disadvantages of a Decision Tree are as follows<\/p>\n These were the few disadvantages of the decision tree.<\/p>\nWhat is a Decision Tree? Advantages and Disadvantages of Decision Tree 2022<\/h2>\n
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Types of Decision Tree<\/h3>\n
<\/a>Advantages of a Decision Tree<\/h3>\n
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<\/a>Disadvantages of Decision Tree<\/h3>\n
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<\/a>Comparison Table for Advantages and Disadvantages of Decision Tree<\/h3>\n