Comparative Analysis of Diverse Classification Algorithms of Machine Learning by Using Various Quality Metrics-Reference-Cited by-同舟云学术

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Comparative Analysis of Diverse Classification Algorithms of Machine Learning by Using Various Quality Metrics

Published:2023-10-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
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Author:

V Kathiresan¹,G Dinesh²,Sarveshwaran Velliangiri³,Jayakanth J.J.³,M Kiruthika³,Renu Yuvaraj³

Affiliation:

1. School of Technology (GST) GITAM University,Dept. of Computer Science and Engineering,Bengaluru,Karnataka,India

2. SRM Institute of Science and Technology,Department of Computational Intelligence,Kattankulathur, Chen

3. SRM Institute of Science and Technology,Department of Computational Intelligence,Kattankulathur, chengalpattu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346237/10346217/10346683.pdf?arnumber=10346683

Reference32 articles.

1. Research and application of machine learning for additive manufacturing

2. Application of machine learning-based approach in food drying: opportunities and challenges

3. Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review

4. Evaluation of machine learning algorithms to classify and map landforms in Antarctica

5. A Quick Review of Machine Learning Algorithms

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1. A New Data Science Model With Supervised Learning and its Application on Pesticide Poisoning Diagnosis in Rural Workers;IEEE Access;2024

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