Difference between Classification and Regression

Classification: Classification is a method of evaluation a function which can divide the dataset classes according to different parameters. It classification, a computer program categorizes the dataset into different classes based on having raining on used to estimate whether an input value is in the pre-determined group or not.
E-mail spam detection can be considered as perfect example of classification. On the basis of millions of e-mails on different parameters, the model is trained. So, whenever a new email is received, it detects whether the email is spam or not. The spam emails are moved to the spam folder.

Regression: Regression is a method of evaluation a function which estimates continuous value based on its input variables. Instead of using classes or discrete values, continuous real values are identified. Prediction of market trend, prediction of house prices use regression model because in such models, continuous variables are predicted.
For example if we are estimating the possibility of rain using regression, a probability associated with the rain will be resulted. Here, the labels of within rain or no rain would not be shown.