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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,7 @@ GAMs extend generalized linear models by allowing non-linear functions of featur

Since GAMs are additive, it is easy to examine the effect of each $X_i$ on $y$ individually while holding all other predictors constant.

As a result, GAMs are a class of very flexible and interpretable models, which also make it is easy to incorporate prior knowledge and control overfitting.
As a result, GAMs are a class of very flexible and interpretable models, which also make it easy to incorporate prior knowledge and control overfitting.

## Citing pyGAM
Please consider citing pyGAM if it has helped you in your research or work:
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