Difference between regression and classification
Answers
Answered by
1
Hey
Your answer is here>>>
Regression is used to predict continuous values. Classification is used to predict which class a data point is part of (discrete value). Example: I have a house with W rooms, X bathrooms, Y square-footage and Z lot-size.
Hope this helps you..
Your answer is here>>>
Regression is used to predict continuous values. Classification is used to predict which class a data point is part of (discrete value). Example: I have a house with W rooms, X bathrooms, Y square-footage and Z lot-size.
Hope this helps you..
Answered by
1
>>>helloo....!!
both cases we have data living in some space. The goal of regression is to find surfaces in that space that best 'conform' to the overall distribution of the data. One can then use these surfaces to predict where a new datum might exist. The goal of classification is to find surfaces that best separate different clusters of data. These 'decision boundaries' then allow you to differentiate between classes of data, and classify any new datum.
hope this helps you.... //
both cases we have data living in some space. The goal of regression is to find surfaces in that space that best 'conform' to the overall distribution of the data. One can then use these surfaces to predict where a new datum might exist. The goal of classification is to find surfaces that best separate different clusters of data. These 'decision boundaries' then allow you to differentiate between classes of data, and classify any new datum.
hope this helps you.... //
Similar questions