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The Effects of Class Imbalance and Training Data Size on Classifier Learning: An Empirical Study

Wanwan Zheng, Mingzhe Jin

2020SN Computer Science50 citationsDOI

Topics & Concepts

Artificial intelligenceMachine learningClassifier (UML)Computer scienceAdaBoostSkewHyperparameterLogistic regressionNaive Bayes classifierBoosting (machine learning)Training setMathematicsStatisticsPattern recognition (psychology)Support vector machineTelecommunicationsImbalanced Data Classification TechniquesMachine Learning and Data ClassificationAnomaly Detection Techniques and Applications
The Effects of Class Imbalance and Training Data Size on Classifier Learning: An Empirical Study | Litcius