COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Linear regression
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Non linear Regression
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Multi classification
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Binary Classification
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Detailed explanation-1: -Binary classification refers to those classification tasks that have two class labels. Examples include: Email spam detection (spam or not).
Detailed explanation-2: -A problem with two classes is often called a two-class or binary classification problem. A problem with more than two classes is often called a multi-class classification problem. A problem where an example is assigned multiple classes is called a multi-label classification problem.
Detailed explanation-3: -Binary classification is the task of classifying the elements of a set into two groups (each called class) on the basis of a classification rule.
Detailed explanation-4: -In machine learning, binary classification is a supervised learning algorithm that categorizes new observations into one of two classes.
Detailed explanation-5: -Classification problems with just two classes are called Binary classification problems.