2.-Statistics/R-squared.md

@@ -136,6 +136,4 @@ $$
 R^2_{\text{Nagelkerke}} = \frac{R^2_{\text{Cox-Snell}}}{1 - \left( L_{\text{null\ model}} \right)^{2/n}}
 $$
 
-Each pseudo-R² provides an indication of the model fit, with values closer to 1 indicating a better fit. However, unlike traditional R², pseudo-R² values can vary depending on the model and should be interpreted with caution.
-
+Each pseudo-R² provides an indication of the model fit, with values closer to 1 indicating a better fit. However, unlike traditional R², pseudo-R² values can vary depending on the model and should be interpreted with caution.
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-By carefully interpreting R², adjusted R², and pseudo-R² values, you can assess how well your models explain the variability in your data while avoiding overfitting and other common pitfalls.
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