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tqchen 2019-04-29 17:50:46 -07:00
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doc/tutorials/model.rst
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@ -72,8 +72,7 @@ Decision Tree Ensembles
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Now that we have introduced the elements of supervised learning, let us get started with real trees.
To begin with, let us first learn about the model choice of XGBoost: **decision tree ensembles**.
The tree ensemble model consists of a set of classification and regression trees (CART). Here's a simple example of a CART
that classifies whether someone will like computer games.
The tree ensemble model consists of a set of classification and regression trees (CART). Here's a simple example of a CART that classifies whether someone will like a hypothetical computer game X.
.. image:: https://raw.githubusercontent.com/dmlc/web-data/master/xgboost/model/cart.png
:width: 100%