What is a decision tree algorithm used for?1 pointa. Classificationb. Regressionc. Clusteringd. Dimensionality reduction
Question
What is a decision tree algorithm used for?1 pointa. Classificationb. Regressionc. Clusteringd. Dimensionality reduction
Solution
A decision tree algorithm is used for both classification (option a) and regression (option b). It is a type of supervised learning algorithm that is mostly used in machine learning and data mining. The decision tree algorithm creates a model that predicts the class or value of the target variable by learning simple decision rules inferred from the data features. It is not typically used for clustering (option c) or dimensionality reduction (option d).
Similar Questions
What is the purpose of a decision tree in machine learning?Answer areaTo create a regression modelTo split data into subsets based on the value of input attributesTo perform clusteringTo reduce dimensionality
What is a decision tree?Select one:a.A clustering algorithm used in unsupervised learningb.A linear model used to make predictions in supervised learningc.A neural network used in deep learningd.A tree-like model used to make predictions in supervised learning
What is a decision tree mainly used for in machine learning?Review LaterData CleaningFeature SelectionData ClassificationData Aggregation
Explain Decision Tree based Classification Approach with example.
Which of the following is an example of a clustering algorithm?(1 Point)Decision treeRandom forestK-meansGradient descent
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