Which of the following is not a supervised learning(1 Point)Naive BayesianLinear regressionDecision treeNone of these
Question
Which of the following is not a supervised learning(1 Point)Naive BayesianLinear regressionDecision treeNone of these
Solution
The answer is "None of these". All the mentioned methods - Naive Bayesian, Linear regression, and Decision tree - are examples of supervised learning. In supervised learning, we have a dataset consisting of both features and labels. The task is to construct an estimator which is able to predict the label of an object given the set of features. Naive Bayesian, Linear regression, and Decision tree are all supervised learning algorithms.
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