What is the main difference between regression and classification?

$1$ point

In regression we aim to predict one or more numerical variables, and in classification we are predicting a class or category

With regression models we are making a prediction whereas with classification models we generally seek only to identify patterns in the relationships between the input and output variables

For regression models we need only the input feature data to build the model, whereas for classification models we need both input feature data and a set of output targets to train the model

For regression we always use a linear model, and for classification we always use a neural network