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The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms

Yagyanath Rimal, Navneet Sharma, Abeer Alsadoon

2024Multimedia Tools and Applications129 citationsDOI

Topics & Concepts

Hyperparameter optimizationHyperparameterRandom forestComputer scienceMachine learningOverfittingArtificial intelligenceReceiver operating characteristicAlgorithmSupport vector machineArtificial neural networkOnline Learning and AnalyticsMachine Learning and Data ClassificationImbalanced Data Classification Techniques
The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms | Litcius