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Fix typo in model.rst (#4393)

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Ravi Kalia 2019-04-27 16:22:07 -05:00 committed by Philip Hyunsu Cho
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@ -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. 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 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. 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, 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. which sums the prediction of multiple trees together.