Examples of using Tree model in English and their translations into Chinese
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Decision Tree model for the name gender task.
名字性别任务的决策树模型。Both methods control the complexity of the tree model.
这两种方法都可以控制树模型的复杂性。Note: I selected the C&R Tree model as an example.
备注：我选择了C&RTree模型作为一个示例。Usually, tree models are less sensitive to the presence of outliers.
通常而言，树模型对于异常值的存在不太敏感。I shall start by explaining what the family tree model is.
还是先来解释一下什么是familytree吧。Figure 6.11: Decision Tree model for the name gender task.
图6-4.名字性别任务的决策树模型。In statistical terms, this is a classification or decision tree model.
在统计术语中，这是一个分类或决策树模型。Decision tree models are even simpler to interpret than linear regression!
决策树模型甚至比线性回归更容易解释！!The representation of the decision tree model is a binary tree. .
决策树模型的表示是一个二叉树。The most popular tree model API for XML is the W3C Document Object Model(DOM).
最常用的XML树模型API是W3C文档对象模型(DOM)。Overfitting: It is one of the most practical difficulties for decision tree models.
过拟合：过拟合是决策树模型最实际的困难之一。Figure 6-4 shows an example decision tree model for the name gender task.
图6-4显示名字性别任务的决策树模型的例子。The system comes with an integrated shopmechanism that plugs directly into the object/ node tree model.
系统有一个内建的直接嵌入对象/节点树模型的商店机制。Elaboration of the" Tree model" on the vicious circle of AIDS and Poverty.
针对艾滋病和贫穷这一恶性循环拟订"树木模式".It's essentially React Native with a renderer who talks to the tree model in Sketch!
对！它本质上是ReactNative，在Sketch中某个渲染器与UI树模型进行交互！!Similar to the median effect, tree models divide each node into two in each split.
类似于中值效应，树模型在每个分裂中将每个节点划分为两个。Later, you tried a time series regression model andgot higher accuracy than decision tree model.
后来，你尝试了时间序列回归模型，并得到了比决策树模型更高的精度。Figure 6-4 shows an example decision tree model for the name gender task.
图6-4.名字性别任务的决策树模型。A completed decision tree model can be overly-complex, contain unnecessary structure, and be difficult to interpret.
一个完整的决策树模型可能过于复杂，包含不必要的结构，而且很难解读。When data is scarce and can be manually characterized,SVM/ kernel methods, tree models, etc. are better for use.
当数据匮乏并且可以手动特征化时，SVM、核方法、树模型等更好用。A completed decision tree model can be overly-complex and contain unnecessary structure.
一个完整的决策树模型可能过于复杂，包含不必要的结构，而且很难解读。However, for mobile apps,things get challenging when it's necessary to manage various tree models on different platforms.
但是，对于移动应用程序，当需要在不同平台上管理各种UI树状模型时，事情变得具有挑战性。Every'tiny' branch of these decision tree models will see just part of the whole data to produce their humble predictions.
但是如何？**这些决策树模型的每个“微小”分支都将只看到整个数据的一部分，以产生他们的基本预测。The US reached its peak productivity growth of around4% per year before the third phase of the‘apple tree model' began to set in.
美国的年生产率增长达到了3%左右的峰值，第三个阶段--“苹果树模型”--正在开始。If there is a high non-linearity&complex relationship between dependent& independent variables, a tree model will outperform a classical regression method.
如果因变量和自变量之间存在高的非线性和复杂关系，则树模型将优于经典的回归方法。One last thing(I promise),I ran a Gradient Boosted Decision Trees model just to see what happens, and the MAPE was down to 25%.
最后一件事（我保证），我运行梯度增强决策树模型，只是想看看发生了什么，平均绝对百分误差下降到了25%。Free christmas tree 3d model.
C4.5 builds a decision tree classification model during training.
C4.5在训练中建立了一个决策分类树模型。Are tree based model better than Linear models?
