Classification determines or categorizes a model based on its attributes, and is the process of identifying the genre to which a new observation belongs to, as per the membership category, which is known in advance. It is a technique of determining which class a dependent variable belongs to based on one or more independent variables. The output variable in the classification problem is either a group or a category.
Some examples include, credit scoring (differentiating between high risk and low risk based on earning and saving), medical diagnosis (predicting the risk of disease), web advertising (predicting whether a user will click on advertisements or not), and more.
The ability of the classification model can be determined ...