R-Squared

R-Squared, also known as the coefficient of determination, is a statistical measure that indicates how well data points fit a regression model. It represents the proportion of variance in the dependent variable that can be explained by the independent variables in the model. R-Squared values range from 0 to 1, where 0 indicates no explanatory power and 1 indicates perfect correlation. It is commonly used in data science and machine learning to evaluate the performance of regression models, helping analysts understand the strength of the relationship between variables. However, it is important to note that a high R-Squared does not necessarily imply that the model is the best fit or that it is appropriate for prediction.