What type of classification task involves assigning data to one of more than two classes?

What type of classification task involves assigning data to one of more than two classes?

• A. Binary classification
• B. Multiclass classification
• C. Regression analysis
• D. Model tuning

Answer: (B)

The correct answer is multiclass classification, which is a specific type of classification task designed to categorize data into more than two distinct classes. In this context, multiclass classification is essential when the dataset includes multiple categories that are not mutually exclusive. For instance, if you have a dataset of images that can represent different animals such as cats, dogs, and birds, you would use multiclass classification to classify each image into one of those categories. In contrast, binary classification only deals with two classes, which limits its application to scenarios where decisions can be clear-cut between two options, such as "spam" or "not spam." Regression analysis, on the other hand, is not a classification task; it focuses on predicting continuous outcomes rather than categorical ones. Model tuning relates to optimizing the parameters of a model to improve performance but does not inherently involve the classification of data. Thus, multiclass classification stands out as the appropriate choice for tasks involving multiple categories.

The correct answer is multiclass classification, which is a specific type of classification task designed to categorize data into more than two distinct classes. In this context, multiclass classification is essential when the dataset includes multiple categories that are not mutually exclusive. For instance, if you have a dataset of images that can represent different animals such as cats, dogs, and birds, you would use multiclass classification to classify each image into one of those categories.

In contrast, binary classification only deals with two classes, which limits its application to scenarios where decisions can be clear-cut between two options, such as "spam" or "not spam." Regression analysis, on the other hand, is not a classification task; it focuses on predicting continuous outcomes rather than categorical ones. Model tuning relates to optimizing the parameters of a model to improve performance but does not inherently involve the classification of data. Thus, multiclass classification stands out as the appropriate choice for tasks involving multiple categories.