MCQ IN COMPUTER SCIENCE & ENGINEERING

COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
One of the types of problems solved using machine learning where the output variable is a continuous quantity and the main aim is to forecast or predict.
A
Regression
B
Classification
C
Clustering
D
None of the above
Explanation: 

Detailed explanation-1: -Regression algorithms are machine learning techniques for predicting continuous numerical values. They are supervised learning tasks which means they require labelled training examples.

Detailed explanation-2: -Linear regression Linear Regression is an ML algorithm used for supervised learning. Linear regression performs the task to predict a dependent variable(target) based on the given independent variable(s).

Detailed explanation-3: -In machine learning, we use various kinds of algorithms to allow machines to learn the relationships within the data provided and make predictions using them. So, the kind of model prediction where we need the predicted output is a continuous numerical value, it is called a regression problem.

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