What Is R Squared In Python. R-square is a comparison of residual sum of squares SSres with total sum of squares SStot. The closer the value of r-square to 1 the better is the model fitted.
Interpretation of R 2 score. R-Squared Explained variance of the model Total variance of the target variable. R-Squared 1 SSESST Pay attention to the diagram and note that smaller the value of SSE smaller is the value of SSESST and hence greater will be value of R-Squared.
Here we get more details.
This correlation can range from -1 to 1 and so the square of the correlation then ranges from 0 to 1. In some the literature says the R-squared value ranges from 0 to 1. In simple words R Square is a statistical formula. Where SS res is the sum of squares of the residual errors.
