Question

Support Vector Machines, Naive Bayes and Logistic Regression are used for solving _______________________ problems. a) Classification b) Regression c) Clustering d) Time Series

Answer 1

Support Vector Machines, Naive Bayes and Logistic Regression are used for solving clustering problems.

option C)

Clustering is the right option.

as we know that logistic regression are based on binary dependent variables  which can form clusters hence option c. clustering is the correct option.

clustering means something which is in clusters or in form of groups.

clusters means those things which are in a group.

same group items can be called clusters.

Answer 2

Support Vector Machines, Naïve Bayes and Logistic Regression are used for solving classification problems.

Option: (a)

Explanation:

• Classification is one of the supervised learning tasks used for predicting and modeling the categorical variables.  

• Some of the examples include predicting financial fraud, email spam, and so on.

• The algorithms involved in solving the classification problem are designed in such a way to predict a class or some class probabilities instead of predicting the real numbers.  

• The algorithms include are logistic regression, classification tree, deep learning, SVM, Naïve Bayes.  

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