This work manifests detailed analysis of various classification models. The major categories of classification model include the Supervised and Unsupervised machine learning techniques. In supervised machine learning technique the training data is known and labeled over which a new instance is classified, whereas in the unsupervised machine learning, clustering mechanism is adopted to group the similar kind of objects and then they are classified accordingly. It provides an explanation about the types of classifiers such as single classifier, ensemble classifier and hybrid classifier, and also elaborates various feature selection techniques such as filter, wrapper and hybrid methods.