The Imbalanced Training Sample Problem: Under or over Sampling?

R. Barandela; Rosa María Valdovinos Rosas; J. Salvador Sánchez; Francesc J. Ferri

doi:10.1007/978-3-540-27868-9_88

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The Imbalanced Training Sample Problem: Under or over Sampling?

R. Barandela Rosa María Valdovinos Rosas J. Salvador Sánchez Francesc J. Ferri

Year: 2004 Lecture notes in computer science Pages: 806-814 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-27868-9_88

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Keywords:

Computer science Sample (material) Artificial intelligence Training (meteorology) Machine learning Class (philosophy) Sampling (signal processing) Sizing Training set Pattern recognition (psychology) Computer vision

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235

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2.87

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0.93

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Algorithms

Physical Sciences → Computer Science → Artificial Intelligence

The Imbalanced Training Sample Problem: Under or over Sampling?

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Citation History

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