Articles → MACHINE LEARNING → R-Squared Statistical MetricR-Squared Statistical MetricThis article describes the R-squared statistical metric.Purpose R-squared is a statistical metric used to evaluate the performance of regression models. It measures how well the predictions from a regression model approximate the actual data points.Formula VariableDescriptionFormulaSum of squares of residuals (errors)Total sum of squaresActual valuePredicted valuemean of actual values Interpretation Of R-Squared R-Squared ValueMeaning1Perfect fit — predictions match actual data exactly.0The model predicts no better than the mean.0The model performs worse than using the mean (bad model).0The model explains some of the variance.Posted By - Karan Gupta Posted On - Friday, December 5, 2025 Query/Feedback Your Email Id** Subject* Query/Feedback Characters remaining 250**
Query/Feedback