diff --git a/readme.md b/readme.md index 63c608a8..219a0304 100644 --- a/readme.md +++ b/readme.md @@ -220,7 +220,7 @@ Fast Interpretable Greedy-Tree Sums (FIGS) is an algorithm for fitting concise r

- Example FIGS model. FIGS learns a sum of trees with a flexible number of trees; to make its prediction, it sums the result from each tree. + Example FIGS model. FIGS learns a sum of trees with a flexible number of trees; to make its prediction, it sums the result from each tree.

### Hierarchical shrinkage: post-hoc regularization for tree-based methods @@ -233,7 +233,7 @@ Hierarchical shrinkage is an extremely fast post-hoc regularization method which

- HS Example. HS applies post-hoc regularization to any decision tree by shrinking each node towards its parent. + HS Example. HS applies post-hoc regularization to any decision tree by shrinking each node towards its parent.

## References