Improving the Accuracy for Prediction of Heart Disease by Novel Feature Selection Scheme using Decision tree comparing with Naive-Bayes Classifier Algorithms

Sameer, S.K.L.; Sriramya, P.

doi:10.1109/icbats54253.2022.9758926

2022 International Conference on Business Analytics for Technology and Security (ICBATS) 2022

DOI: 10.1109/icbats54253.2022.9758926

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Improving the Accuracy for Prediction of Heart Disease by Novel Feature Selection Scheme using Decision tree comparing with Naive-Bayes Classifier Algorithms

S.K.L. Sameer

P. Sriramya

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Cited by 8 publications

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Enhancing the accuracy of intraocular disease prediction using decision tree algorithm in comparison with linear naive bayes function algorithm

Santhosh,

David

2024

AIP Conference Proceedings

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Improving the Accuracy for Prediction of Heart Disease by Novel Feature Selection Scheme using Decision tree comparing with Naive-Bayes Classifier Algorithms

Cited by 8 publications

References 22 publications

Enhancing the accuracy of intraocular disease prediction using decision tree algorithm in comparison with linear naive bayes function algorithm

Enhancing the accuracy of intraocular disease prediction using decision tree algorithm in comparison with linear naive bayes function algorithm

Pruning-Based Ensemble Tree for Multi-Class Classification

Improving Accuracy of Heart Disease Prediction through Machine Learning Algorithms

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