Explain coefficient of determination in a linear regression model

827    Asked by ranjan_6399 in Data Science , Asked on Jan 15, 2020
Answered by Ranjana Admin

 Coefficient of determination or R2 or also goodness of fit is the key output used in regression analysis. It can tell the proportion of variance in target variables predicted from the features or attributes.

It is the square of the correlation between actual and predicted output in a regression model.it always ranges between 0 and 1.

If it is greater than 0.8,it indicates that the model is a good model

If it ranges between 0.6 and 0.8,it indicates that the model is a moderate model

If it is less than 0.6,it indicates that the model is a weak model

It is illustrated as below

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