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4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ BartPy is a pure python implementation of the Bayesian additive regressions tree

### Reasons to use BART

* Much less parameter optimization required that GBT
* Much less parameter optimization required than GBT
* Provides confidence intervals in addition to point estimates
* Extremely flexible through use of priors and embedding in bigger models

Expand All @@ -26,7 +26,7 @@ BartPy is a pure python implementation of the Bayesian additive regressions tree

### How to use:

There are two main APIs for BaryPy:
There are two main APIs for BartPy:
1. High level sklearn API
2. Low level access for implementing custom conditions

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