Explain Difference between Regression and Classification?

Data Science, AI and ML
#1

The major difference between Regression and Classification is that Regression results in a continuous quantitative value while Classification is predicting the discrete labels.

However, there is no clear line that draws the difference between the two. We have a few properties of both Regression and Classification. These are as follows:

Regression

  • Regression predicts the quantity.
  • We can have discrete as well as continuous values as input for regression.
  • If input data are ordered with respect to the time it becomes time series forecasting.

Classification

  • The Classification problem for two classes is known as Binary Classification.
  • Classification can be split into Multi- Class Classification or Multi-Label Classification.
  • We focus more on accuracy in Classification while we focus more on the error term in Regression.