Classification models

Classification is the process of predicting the class of given data by drawing some conclusions. Classification predictive modeling is the approximation of a mapping function from input variables to discrete output variables. It belongs to the supervised learning in Machine Learning where the targets are provided with input data.

Classification can be applied on Structured and Unstructured data. The main theme of a classification model is to discover the category or class to which the new data falls under. Classes are also termed as targets or labels or categories.

If we give one or more than one inputs to a classification model, then the model will try to predict the values of one or more outcomes. Whereas the outcomes are labels which can be applied to datasets.

Classification models have many applications in many domains like medical diagnosing, target marketing etc.,