Binary tree

Q: How deeply does Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI cover binary tree?

Explains feature scanning, threshold evaluation, objective scoring, and histogram acceleration, but not complete tree construction.

As explained in Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

A tree data structure in which each node has at most two child nodes.

A binary tree is a data structure whose nodes have at most two children. In gradient boosting, binary trees repeatedly partition data to improve an objective metric. section 5.4.3

A split-search workflow typically:

Considers each numeric feature and candidate threshold. section 5.4.3
Selects the split producing the greatest improvement according to an objective such as Gini impurity. section 5.4.3

Faster split search

A latitude feature can be split by testing every unique value or by testing boundaries from a 256-bin histogram. Both approaches found threshold 40.91306 and the same score, while histogram splitting reduced runtime from 46.9 seconds to about 563 milliseconds.

How Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI covers it

Cover of Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

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Also explained in

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Grokking Machine LearningA tree data structure in which each node has at most two child branches.
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Grokking Algorithms, Second EditionA binary tree is a tree in which each node has at most two children.
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Learn C++ by ExampleA binary tree is a tree data structure in which each node has at most two child branches.

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Related concepts

treekind of · A tree is a connected, acyclic structure of nodes, commonly organized hierarchically through parent-child relationships and optionally around a designated root.
binary search treeincludes · A binary search tree is a binary tree whose nodes follow an ordering relation placing keys in designated left and right subtrees relative to each node.
heapincludes · A binary heap is an almost complete binary tree in which each parent satisfies an ordering property relative to its children, enabling efficient access to a minimum or maximum element.
k-d treeincludes · A k-d tree is a binary space-partitioning tree that organizes points in multidimensional space by recursively comparing coordinate dimensions.
subtreeincludes · A subtree is a tree formed by a node and all its descendants, together with the links connecting them.
Mapcontrasts with · A map is an associative data structure that stores key-value pairs and supports retrieving values by key.

This explainer was generated by Manning's knowledge graph from the text of Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI. The section links point to the parts of the book it draws on.