FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Classification is a process of determining a model that describes and differentiates data classes with the intention of using it to predict a class of unknown or anonymous objects.

Detailed explanation-2: -Classification − Classification is the procedure of discovering a model that represents and distinguishes data classes or concepts, for the objective of being able to use the model to predict the class of objects whose class label is anonymous.

Detailed explanation-3: -Classification is a data mining function that assigns items in a collection to target categories or classes. The goal of classification is to accurately predict the target class for each case in the data. For example, a classification model could be used to identify loan applicants as low, medium, or high credit risks.

Detailed explanation-4: -Thus, the process of classification involves two steps: applying a learning algorithm to training data to learn a model, and then applying the model to assign labels to unlabeled instances.

Detailed explanation-5: -useful to describe individual classes and concepts in summarized, concise, and yet precise terms. Such descriptions of a class or a concept are called class/concept-description.