Top 5 Advantages and Disadvantages of Decision Tree | Types, Pros and Cons, Benefits and Drawbacks (2023)

by Prasanna

Advantages and disadvantages of Decision Tree: 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.

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What is a Decision Tree? Advantages and Disadvantages of Decision Tree 2022

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.

(Video) 6 Decision Trees Advantages

  • Advantages of a Decision Tree
  • Disadvantages of Decision Tree
  • Comparison Table for Advantages and Disadvantages of Decision Tree
  • FAQs on Pros and Cons of Decision tree

Types of Decision Tree

There are two types of Decision trees, they are:

Categorical variable decision tree: 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.

Continuous variable decision tree: 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.

Now let us discuss the various Advnatagesof the Decision tree.

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Advantages of a Decision Tree

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

  • Easy to create: A decision tree is easy to create as compared to other algorithms. Using the raw data collocation, we can simply create the decision tree with its decision-making nodes and come to an outcome.
  • Easy to Understand: A Decision tree is a very simple representation and thus it is easy to understand by anyone. If the person does not work in AI (Artificial Intelligence) then also it is easy for them to understand the changes and outcomes.
  • Data cleaning reduced: The Decision tree is made with very little data and is also easy to make and understand, so unnecessary data collection is avoided. Ths the cleaning of data is reduced.
  • Data exploration: It is one of the best ways to understand the factors and variables that are included in the calculation and helps in decision making by exploring the various factors and data input. Thus it allows the exploration of all the changing variables.
  • Used for Nonlinear relationships: One of the big advantages of the decision tree is that it is also helpful in dealing with nonlinear relationships.
  • Less preparation of Data: with very little data, the decision can be created because it does not require any external data in the making.

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.

Disadvantages of Decision Tree

Some disadvantages of a Decision Tree are as follows

  • Unstable Nature: A decision tree structure is usually get affected by the change in the small data. So it is unstable in nature and cannot be totally dependable.
  • Inaccurate: It can be inaccurate if the variable data is changing often thus, the outcome comes differently every time if we are dealing with variable change. Thus we can not totally rely on it.
  • Complex with new input: It gets complex with adding the new input and the outcome can be more making it complex.
  • Time Taking: For a small tree, it is easy and can be in little time, but if the inputs are more, then it is more time-consuming as compared to other methods.

These were the few disadvantages of the decision tree.

Comparison Table for Advantages and Disadvantages of Decision Tree

Advantages of Decision TreeDisadvantages of Decision Tree
It is easy to createUnstable in nature
It helps decision making and understanding easilyGet complex with new input
Reduces data cleaningInaccurate with new more input change
Data can be exploredTime-consuming
Can be used for the non-linear relationshipLess effective in continuous variable outcome

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FAQs on Pros and Cons of Decision tree

Question 1.
What is a Decision Tree? What are its types?

Answer:
A Decision tree is a Diagram that analysts use to decide the outcome of any process that is usually a favourable result. 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. It can be smaller in size and also sometimes a little bigger and more complex according to the problem or situation.

Two types of Decision trees are:

  • Categorical variable decision tree: A categorical variable decision tree makes categorical target variables that are divided the nodes into two categories that give options like yes or No.
  • Continuous variable decision tree: Continuous variable decision tree is a tree that uses continuous target variables to predict data output with changing input linked to results.

Question 2.
What are the advantages of a Decision Tree?

Answer:
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

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  • It is easy to create with few inputs.
  • Easy to understand.
  • Data cleaning is reduced due to the use of fewer data.
  • Data exploration can be done with the variable that is included and changed.
  • Can also be used for non-linear relationships.
  • Less preparation of data is needed and thus can be made with fewer inputs.

Question 3.
How to create a decision tree?

Answer:
Here are the steps to create a decision tree:

  1. Start the tree by making the first root node in a rectangular shape and write the main criteria or problem which will lead to an outcome.
  2. Now add the branch nodes by entering the basic input.
  3. Add leaves nodes that are more in the tree in which all the questions or criteria are included.
  4. Again, adding more branches means more possibilities for the decision outcome.
  5. Continue the process until all possibilities are added.
  6. In the end, consult and take the decision.

It is easy to create with few inputs.Easy to understand.Data cleaning is reduced due to the use of fewer data.Data exploration can be done with the variable that is included and changed.Can also be used for non-linear relationships.Less preparation of data is needed and thus can be made with fewer inputs"}}, {"@type": "Question","name":"How to create a decision tree?","acceptedAnswer": {"@type": "Answer","text":"Here are the steps to create a decision tree:

Start the tree by making the first root node in a rectangular shape and write the main criteria or problem which will lead to an outcome.Now add the branch nodes by entering the basic input.Add leaves nodes that are more in the tree in which all the questions or criteria are included.Again, adding more branches means more possibilities for the decision outcome.Continue the process until all possibilities are added.In the end, consult and take the decision."}}]}

FAQs

What are the drawbacks of decision tree? ›

Disadvantages of Decision Trees

One of the limitations of decision trees is that they are largely unstable compared to other decision predictors. A small change in the data can result in a major change in the structure of the decision tree, which can convey a different result from what users will get in a normal event.

What are the advantages of a decision tree? ›

Some advantages of decision trees are:
  • Simple to understand and to interpret. ...
  • Requires little data preparation. ...
  • The cost of using the tree (i.e., predicting data) is logarithmic in the number of data points used to train the tree.
  • Able to handle both numerical and categorical data. ...
  • Able to handle multi-output problems.

What is decision tree and its types? ›

Decision Tree is the most powerful and popular tool for classification and prediction. A Decision tree is a flowchart-like tree structure, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and each leaf node (terminal node) holds a class label.

What is the advantage and disadvantages? ›

As nouns, the difference between disadvantage and advantage is that disadvantage is a weakness or undesirable characteristic; a con while the advantage is any condition, circumstance, opportunity, or means, particularly favorable to success, or any desired end.

What are the disadvantages of decision table? ›

Drawbacks:
  • Decision tables are not well suited to large-scale applications. There is a requirement of splitting huge tables into smaller ones to eliminate redundancy.
  • The complete sequence of actions is not reflected in the decision tables.
  • A partial solution is presented.
23 Jun 2022

What is the main disadvantage of decision support system? ›

Disadvantages of a Decision Support System

A DSS may lead to information overload because an information system tends to consider all aspects of a problem. It creates a dilemma for end-users, as they are left with multiple choices. Implementation of a DSS can cause fear and backlash from lower-level employees.

What is decision tree? ›

A decision tree is a non-parametric supervised learning algorithm, which is utilized for both classification and regression tasks. It has a hierarchical, tree structure, which consists of a root node, branches, internal nodes and leaf nodes.

What is decision table and its advantages? ›

Decision tables are very much helpful in test design technique. It helps testers to search the effects of combinations of different inputs and other software states that implement business rules. It provides a regular way of stating complex business rules which benefits the developers as well as the testers.

What are the 4 types of decisions? ›

The four decision-making styles include:

Analytical. Directive. Conceptual. Behavioral.

What is the the disadvantage? ›

: loss or damage especially to reputation, credit, or finances : detriment. the deal worked to their disadvantage. : an unfavorable, inferior, or prejudicial condition. we were at a disadvantage. : a quality or circumstance that makes achievement unusually difficult : handicap.

What is a disadvantage example? ›

44 Examples of a Disadvantage
BullyingCommunity Exclusion
Lack of Financial ResourcesLack of Free Time (e.g. working two jobs)
Lack of InfrastructureLack of Rights and Freedom
Lack of SecurityLack of Social Connections & Support
Language ProficiencyLearning Disabilities
17 more rows
14 Apr 2022

What is the advantages of using decision table and decision tree? ›

Advantages of decision trees

Decision trees help the analyst to identify the actual decision to be made. Decision trees are useful for expressing the logic when the value is variable or action depending on a nested decision. It is used to verify the problems that involve a limited number of actions.

What are the advantage advantages of table? ›

Tables provide fast and efficient readability across issues displayed in rows and columns. They can serve as a common means for benefit-risk communications because of their simple structure, flexibility and the ease with which they can be adapted.

What are the 3 advantages of a tree topology? ›

Advantages of tree topology
  • Bus and star combination: Tree topology is a combination of bus and star topology. ...
  • Expansion of network: It is easy to expand the network. ...
  • Error detection: It is easy to identify the error in the network. ...
  • Better security: ...
  • Reliable: ...
  • Compatibility: ...
  • Dependent on the main bus: ...
  • Scalability:
23 Apr 2021

What is chart advantages and disadvantages? ›

Advantages: summarize a large dataset in visual form; easily compare two or three data sets; better clarify trends than do tables; estimate key values at a glance. Disadvantages: require additional written or verbal explanation; can be easily manipulated to give false impressions.

What are the 5 common decision barriers? ›

Barriers to Effective Decision-Making
  • Lack of knowledge about bias and decision-making in organisations.
  • Poor culture of challenging decision making.
  • Diversity of thought.
  • Your new focus for decision making.
18 Jun 2020

What are the disadvantages of case? ›

Disadvantages of Case Study

Risk of bias, as the researcher's personal opinions and preferences may influence the research. Difficulty convincing readers who are accustomed to clear-cut statistical answers. In-depth analysis may not be suitable for the audience.

What are the disadvantages of interaction? ›

6.4 Disadvantages of Interact – Interviews
  • 1 Impracticality. ...
  • 2 Negative Impact – Too Much Work for What It Is Worth. ...
  • 3 Negative Impact – Interlocutor Variables. ...
  • 4 The Challenges of 'Spontaneous and Unrehearsed'
3 Feb 2016

What is decision tree example? ›

What is a Decision Tree? A decision tree is a very specific type of probability tree that enables you to make a decision about some kind of process. For example, you might want to choose between manufacturing item A or item B, or investing in choice 1, choice 2, or choice 3.

Why is it called decision tree? ›

In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. As the name goes, it uses a tree-like model of decisions.

What are decision trees called? ›

Known as decision tree learning, this method takes into account observations about an item to predict that item's value. In these decision trees, nodes represent data rather than decisions. This type of tree is also known as a classification tree.

What are the three advantages of table? ›

Answer:
  • Studying the Columns and rows of the table, it is easier to quickly grasp the meaning of data.
  • Increasing or decreasing nature of data and abrupt values are easily accessible helping to analyze the data.
  • It allows to easily represent different various quantities related to a quantity.
15 Dec 2020

What are advantages of choices? ›

Choice does confer major benefits. It can satisfy people's varied tastes and promote competition among providers that lowers price and improves quality. Studies of the psychology of decision-making find, however, that expanded choices can also impose costs on decision-makers.

What are the 8 types of decision-making? ›

Types of Decision Making – Routine, Strategic, Policy, Operating, Organisational, Personal, Programmed, Non-Programmed, Individual and Group Decisions.

What are the 6 types of decision-making? ›

Types of Decision Making
  • Programmed And Non-Programmed Decisions: Programmed decisions are routine and repetitive in nature. ...
  • Operational and Strategic Decisions: ...
  • Organizational and Personal Decisions: ...
  • Major and Minor Decisions: ...
  • Individual and Group Decisions: ...
  • Tactical and Operational Decisions:

What is Step 5 of decision-making? ›

Step 5: Evaluate Your Decision. Once you have made your final decision and put it into action, it is necessary to evaluate the decision and the steps you have taken to ensure that it works.

What are the 3 types of decisions? ›

Types of decisions
  • strategic.
  • tactical.
  • operational.

What are the three 3 types of decision-making? ›

Decision making can also be classified into three categories based on the level at which they occur. Strategic decisions set the course of organization. Tactical decisions are decisions about how things will get done. Finally, operational decisions are decisions that employees make each day to run the organization.

What are the 3 different decision stages? ›

Easy 3 Step Decision Making Process
  • Step One: Gather Information.
  • Step Two: Interpret the Facts.
  • Step Three: Look at the Opportunity/Options and Decide.

What are the 9 characteristics of decision-making? ›

The 9 Characteristics of a Good Decision
  • Good decisions positively impact others. ...
  • Good decisions are replicable. ...
  • Good decisions foster opportunity. ...
  • Good decisions include others. ...
  • Good decisions are executable. ...
  • A good decision is systematic. ...
  • Good decisions are accountable. ...
  • Good decisions are pragmatic.
2 Sept 2015

What are the advantages and disadvantages of decision tree in data mining? ›

They are very fast and efficient compared to KNN and other classification algorithms. Easy to understand, interpret, visualize. The data type of decision tree can handle any type of data whether it is numerical or categorical, or boolean. Normalization is not required in the Decision Tree.

What is decision table explain its advantages and disadvantages? ›

Decision Tables:- Decision tables are powerful tools for expressing complex logical relationships in an understandable manner. The y are used to define clearly & concisely the decision statement of a problem in a tabular form. A decision table is a table of conditions for defining a problem & the actions to be taken.

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