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 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 algorithm used for?1 pointa. Classificationb. Regressionc. Clusteringd. Dimensionality reduction

A decision tree is a diagram consisting of:Group of answer choicescircular decision nodes, square probability nodes, and branches.square decision nodes, circular probability nodes, and branches.any shapes and form that the analyst chooses.branches with angles and distance indicating the likelihood of branch selection.

What is a decision tree mainly used for in machine learning?Review LaterData CleaningFeature SelectionData ClassificationData Aggregation

Explain the concept of a decision tree and its applications. Provide an example to illustrate how decision trees are used in real-life scenarios.