MCQ IN COMPUTER SCIENCE & ENGINEERING

COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

 Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What type of Machine Learning Algorithm is suitable for predicting the dependent variable with two different values?
 A Logistic Regression B Linear Regression C Multiple Linear Regression D Polynomial Regression
Explanation:

Detailed explanation-1: -Multiple regression is a machine learning algorithm to predict a dependent variable with two or more predictors.

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: -Multinomial logistic regression is a simple extension of binary logistic regression that allows for more than two categories of the dependent or outcome variable. Like binary logistic regression, multinomial logistic regression uses maximum likelihood estimation to evaluate the probability of categorical membership.

Detailed explanation-4: -Support Vector Machine (SVM) Similar to decision tree and random forest, support vector machine can be used in both classification and regression, SVC (support vector classifier) is for classification problem.

Detailed explanation-5: -Multiple regression model is one that attempts to predict a dependent variable which is based on the value of two or more independent variables.

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