What is regression in data mining?

Question

Can anyone explain the regression in data mining?

Answer 1

In data mining, regression is a statistical modeling technique that involves predicting a continuous quantity for new observations by using the knowledge gained from the previous data.

In simple words, if the target variable or outcome the variable is a continuous variable then it is a regression problem and if the target variable is discrete, it is a classification problem.

Example for regression problem: Predicting the prices of houses from the features of houses like the number of rooms, the size of a house, location of the house, etc.

Some of the most used regression algorithms in Data Mining:

• Linear regression
• Lasso regression
• Polynomial regression
• Ridge regression
• Decision trees
• Random forest regression
• K-Nearest neighbors

If you wish to learn more about regression and implementation, you can enroll in this Data Science Training course by Intellipaat.

Also, watch this video on Data Mining: