Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fix typo in model.rst (#4393)

Browse Source
This commit is contained in:
Ravi Kalia 2019-04-27 16:22:07 -05:00 committed by Philip Hyunsu Cho
parent 5dfb27fb2d
commit 146e83f3b3
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
doc/tutorials/model.rst
View File

@ -82,7 +82,7 @@ that classifies whether someone will like computer games.
We classify the members of a family into different leaves, and assign them the score on the corresponding leaf.
A CART is a bit different from decision trees, in which the leaf only contains decision values. In CART, a real score
is associated with each of the leaves, which gives us richer interpretations that go beyond classification.
This also allows for a pricipled, unified approach to optimization, as we will see in a later part of this tutorial.
This also allows for a principled, unified approach to optimization, as we will see in a later part of this tutorial.
Usually, a single tree is not strong enough to be used in practice. What is actually used is the ensemble model,
which sums the prediction of multiple trees together.