Adjusted R Squared, Clearly Explained

Looking to learn about Adjusted R Squared? Adjusted R-squared is a statistical measure that compares the fit of a model to the average of all possible models. It is a modified version of R-squared that accounts for the number of predictors in the model. A higher adjusted R-squared indicates a better fit of the model to the data. It also penalizes the addition of unnecessary variables to the model. Adjusted R-squared values can range from 0 to 1, with values closer to 1 indicating a better fit. Learn more in this video! Course Link HERE: https://sds.courses/python-ml-level-1 You can find us also here: Website: https://www.superdatascience.com/ Facebook: https://www.facebook.com/groups/superdatascience Twitter: https://twitter.com/superdatasci Linkedin: https://www.linkedin.com/company/superdatascience/ Contact us at: [email protected] #AdjustedRSquared #machinelearning