Enhancing Accuracy: Iris Flower Classification with Ensemble Models
Author:
Affiliation:
1. KPR Institute of Engineering and Technology,Department of Artificial Intelligence and Data Science,Coimbatore,TamilNadu,India
2. NextLabs Pte. Ltd.,Software Engineer 2,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10533880/10533882/10534032.pdf?arnumber=10534032
Reference14 articles.
1. Performance comparison of PCA and LDA with linear regression and random forest for Iris flower classification;Rana;PalArchs Journal of Archaeology of Egypt/Egyptology,2020
2. Classification of the Iris Flower Dataset using Different Algorithms;Mithy;Int. J. Sci. Res.,2022
3. Machine Learning Classifiers Based Classification For IRIS Recognition
4. Study for Iris Classification Based on Multiple Machine Learning Models
5. A Comparative Analysis of Machine Learning Based Algorithms for Iris Flower Classification Application;Ohal;BioGecko,2023
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