R-squared and Adjusted R-squared with sklearn in Python Template
The R-squared and Adjusted R-squared with sklearn in Python demonstrates how to return the R-squared and R-squared values of a model when performing linear regression. Some other related topics you might be interested in are Regression Summary Table with sklearn in Python, Feature Selection through p-values with sklearn in Python, Feature Selection through Standardization with sklearn in Python. You can now download the Python template for free. The R-squared and Adjusted R-squared with sklearn in Python template is among the topics covered in detail in the 365 Data Science program.
Who is it for
This open-access Python template is designed for Data Analysts, Machine Learning Engineers, Data Scientists and any person who wants to become better at performing linear regression with statsmodels in Python.
How it can help you
Whenever performing linear regression with statsmodels, it is rather easy to return the R-squared and adjusted R-squared values of a model. Unfortunately, that is not the case when working with sklerarn. What we do in this template is to show how to return and compute these two values for a specific model.