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Information gain in decision trees · Vinony

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EntityQ17083041· pop 5· linked from 13 articles

Information gain in decision trees

Gain from observing another random variable

Available in 5 languages

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via Wikidata sitelinks · CC0

Connections

information entropy

Categories

Classification algorithms Decision trees

Sources

wikipedia.externallinksexternallink

Kullback–Leibler divergence

Entity

training, validation, and test data sets

International Standard Book Number

digital object identifier

machine learning

information theory

random variable

probability distribution

mathematical optimization

partition of a set

conditional probability

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What links here13 pages

dimensionality reduction

Kullback–Leibler divergence

decision tree learning

information entropy

outline of machine learning

bootstrap aggregating

Similar entities

Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).

Entitydist 0.49

Fisher information

Entitydist 0.51

information entropy

Entitydist 0.53

quantity of information

Entitydist 0.55

information bias

Entitydist 0.60

Transfer entropy

Entitydist 0.60

value of information

Entitydist 0.63

information need

Entitydist 0.66

Bayesian search theory

Entitydist 0.66

Information Search Process

Entitydist 0.67

information seeking

Entitydist 0.68

Entitydist 0.68