What are some differences between classification and regression? – InterviewSolution

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What are some differences between classification and regression?

Answer»

Regression and classification are both supervised learning algorithms. Both works on LABELED data and are USED to predict in machine learning. The difference, however, arises from the manner in which they are used.

Classification	Regression
In classification, a computer is trained against a training dataset. Upon training, the algorithm categorized the data into various classes.	Regression is the process of finding correlations between dependent and independent VARIABLES. It is used to predict CONTINUOUS variables.
In classification, the mapping function is used for mapping values to predefined classes.	In regression, the Mapping Function is used for the mapping of values to continuous output.
Involves prediction of values.	Involves prediction of continuous values.
Nature of predicted data is unordered.	Nature of predicted data is ordered.
Types of classification algorithms- K- NEAREST Neighbors Support Vector Machines Naive Bayes	Types of regression algorithm- Simple Linear Regression Multiple Linear Regression Support Vector Regression

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