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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Overfitting

Machine Learning · Level 2 of 5

Overfitting

Learning training-specific patterns that fail to transfer well.

A model can fit noise as though it were a dependable signal.

Example

Training accuracy rises while validation accuracy falls.

Listen to the definition and example

Audio transcript

Overfitting. Learning training-specific patterns that fail to transfer well. A model can fit noise as though it were a dependable signal. For example: Training accuracy rises while validation accuracy falls.

Explore this concept

A useful analogy

Memorizing a practice exam’s quirks instead of learning the subject.

Why it matters

This helps you choose and evaluate a learning setup that matches the data and task.

Technical detail

A widening gap between training and representative validation performance can indicate fitting sample-specific variation. Diagnosis depends on the evaluation protocol.

Common misconception

More training accuracy is not automatically better generalization.

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Related concepts

Quick recall question

Try answering before looking back at the definition.

Put the terminology into context: How AI works · Machine-native representations · All learning paths

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