Classification Vs Regression
Difference between classification and regression In the above diagram the left side picture depicts classification(Disease, Healthy) and the right side picture depicts the regression. Classification: the output variable takes class labels. Regression: the output variable takes continuous values. Regression and classification are both related to prediction, where regression predicts a value from a continuous set, whereas classification predicts the 'belonging' to the class. For example, the price of a house depending on the 'size' , can be some 'numerical value' (which can be continuous): this relates to regression. Similarly, the prediction of price can be in words, viz., 'very costly', 'costly', 'affordable', 'cheap', and 'very cheap': this relates to classification. Each class may correspond to some range of values.
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