Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input output pairs. It infers a function from labeled training data consisting of a set of training examples. In supervised learning finding the likelihood of feature belonging to a particular class can be grouped under what type of problem?

Q & ASupervised learning is the machine learning task of learning a function that maps an input to an output based on example input output pairs. It infers a function from labeled training data consisting of a set of training examples. In supervised learning finding the likelihood of feature belonging to a particular class can be grouped under what type of problem?
Admin Staff asked 4 years ago

Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples. In supervised learning finding the likelihood of feature belonging to a particular class can be grouped under what type of problem?

a.Linear Regression problem
b.Hierarchical Clustering
c.K-means Clustering
d.Classification problem

1 Answers
Admin Staff answered 4 years ago

d.Classification problem