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Artificial Intelligence

随机森林

Random Forest

A supervised learning algorithm used for classification and regression that constructs a multitude of decision trees at training time and outputs the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees. / 一种用于分类和回归的监督学习算法,在训练时构建多个决策树,并输出个别树模式的类别(分类)或平均预测(回归)。

Knowledge type
数学理论
First proposed or discovered
Proposer
Turkey Farm member
Creator
农场主
Last updated
2026-11-06 16:06:45
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Sub-knowledge points

Virtual Strain Sensing / 实际应用Decision Tree EnsembleBaggingFeature Importance

Higher-order knowledge points

Supervised LearningMachine Learning Algorithms

Main parameters and performance indicators

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Open problems

No unresolved problem recorded yet

Related literature

ranked by community stars
A Random Forest-Based AI Decision Support System for an Integrated Indonesian Civil Service Information SystemOpen source

Related products and links

SIPINTAR

Creation and modification trail

1 records
automated knowledge publish农场主2026-11-06 16:05:47

Record title: Random Forest.