MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

LINEAR REGRESSION

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Linear Regression is mainly used for Classification
A
TRUE
B
FALSE
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -Yes, Linear regression is a supervised learning algorithm because it uses true labels for training. A supervised machine learning model should have an input variable (x) and an output variable (Y) for each example.

Detailed explanation-2: -Linear Regression is one of the most simple Machine learning algorithm that comes under Supervised Learning technique and used for solving regression problems. It is used for predicting the continuous dependent variable with the help of independent variables.

Detailed explanation-3: -In linear regression, the relationship between the two variables is assumed to be linear. This answer is true.

Detailed explanation-4: -Some algorithms have the word “regression” in their name, such as linear regression and logistic regression, which can make things confusing because linear regression is a regression algorithm whereas logistic regression is a classification algorithm.

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