The Emergence Machine

Overfitting

abstract · Computing · Level 9 · E10

E10Institutions

Each concept here is mapped to its prerequisites — the ideas you'd need first to understand it — all the way down to four foundations: Space, Time, Energy, Pattern. Click any prerequisite to drill down, or scroll for the chain graph.

Trace. Question. Emerge.

Emergence definition

Overfitting occurs when a machine learning model learns the training data too well, including its noise, resulting in poor performance on new data, which is a common issue in machine learning.

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Wiktionary senses

External reference — all senses of the word “overfitting” on Wiktionary. This atlas concept maps to only the slice of meaning relevant to the prerequisite graph.

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Source: Wiktionary — “overfitting”. Content available under CC BY-SA 4.0.

Historical origin

Origin word
overfitting
Origin language
English

Prerequisite chain

Possible path of this concept down to the fundamental substrate.

thisfoundationsL9L8L7L6L3L2L1L0OverfittingModelMachine LearningArtificial Intel…CausalitySoftwareSystem… intermediate l…FormInformationProcessStructureActionChangeMatterProcedureEnergyPatternSpaceTimeE1 concrete → E14 abstract

Neighborhood

Direct prerequisites above, concepts that depend on this one below.

thisprerequisitesOverfittingL9SoftwareL3ModelL8E1 concrete → E14 abstract

In other languages

Prerequisites

What you need to understand first.

  • Software L3 (requires)
    overfitting builds on the concept of software
  • Model L8 (requires) Technology sense
    Overfitting occurs when a machine learning model learns the training data too well, including its noise, resulting in poor performance on new data.