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\subsubsection{Classification and regression }  Classification is a data mining technique used to predict group membership for data instances. For example, you may wish to use classification to predict whether the weather on a particular day will be sunny, rainy or cloudy. Popular   classification techniques include decision trees and neural networks. The tasks of classification and regression are concerned with predicting the value of one field from the values of other fields. The target field is called the class. The other fields are called attributes. On the other hand regression is a data mining technique used to fit an equation to a dataset. A classification function or model is constructed by analyzing the relationship between the attributes and the class of the objects in the training set.