Podcast
Questions and Answers
What type of learning does a decision tree belong to?
What type of learning does a decision tree belong to?
- Reinforcement
- Supervised (correct)
- Unsupervised
- Semi-supervised
In addition to classification, decision trees can also be used for:
In addition to classification, decision trees can also be used for:
- Clustering
- Association
- Regression (correct)
- Dimensionality reduction
What is the primary goal of creating a decision tree?
What is the primary goal of creating a decision tree?
- To cluster data points
- To reduce data dimensionality
- To visualize complex relationships
- To predict a specific value (correct)
The decision-making process in a decision tree starts from which node?
The decision-making process in a decision tree starts from which node?
What should be done at each non-final node in a decision tree?
What should be done at each non-final node in a decision tree?
What does each final node represent in a decision tree?
What does each final node represent in a decision tree?
What is the essence of making a decision within a decision tree?
What is the essence of making a decision within a decision tree?
What does the process of decision-making involve?
What does the process of decision-making involve?
What is the outcome of the decision-making process?
What is the outcome of the decision-making process?
When is the decision tree approach particularly useful?
When is the decision tree approach particularly useful?
Flashcards
What is a Decision Tree?
What is a Decision Tree?
A type of data mining technique used for classifying data by building models in the form of a tree structure.
What is Classification?
What is Classification?
Using decision trees within classification models
What is Regression?
What is Regression?
Using decision trees within regression models
What is the purpose of a decision tree?
What is the purpose of a decision tree?
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What is the goal?
What is the goal?
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What are the steps?
What are the steps?
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What is Making a decision?
What is Making a decision?
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What is Decision-Making?
What is Decision-Making?
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What are advantages of this approach?
What are advantages of this approach?
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When is it typically used?
When is it typically used?
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Study Notes
- Decision Tree is a type of data mining technique that builds a model to classify data, constructing models in a tree structure, thus belonging to supervised learning.
- Decision trees are also used in building regression models to predict category labels or values that help in the decision-making process.
- A decision tree extracts knowledge hidden in vast amounts of data.
- It helps reach cognitive states that support decision-making.
- Decision tree goal is to create a model to predict a specific value by learning simple rules derived from the features/characteristics of the data.
- Classification is applied through a set of rules or conditions that determine the path to be followed, starting from the root node and ending at one of the final nodes representing the final decision.
- At each non-final node, a decision must be made regarding the path of the following node.
- The decision itself involves selecting one solution from several solutions to a specific problem.
- Decision-making involves choosing one of the available alternatives.
- The process of decision-making is a sequential set of steps and procedures that ultimately lead to selecting the best alternative solutions.
- The decision-maker can see the available alternatives, risks, and expected outcomes for each.
- The decision tree approach is used in solving problems with multiple alternatives, as well as multiple potential situations, especially when the problem involves an element of risk and uncertainty.
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