MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -What Are The Types Of Supervised Learning? Regression is used to understand the relationship between dependable and independent variables. Moreover, it is a type of supervised learning that learns from labelled data sets to predict continuous output for different data in an algorithm.

Detailed explanation-2: -There are two types of Supervised Learning techniques: Regression and Classification.

Detailed explanation-3: -The most commonly used Supervised Learning algorithms are decision tree, logistic regression, linear regression, support vector machine.

Detailed explanation-4: -Another great example of supervised learning is text classification problems. In this set of problems, the goal is to predict the class label of a given piece of text. One particularly popular topic in text classification is to predict the sentiment of a piece of text, like a tweet or a product review.