Performance Analysis of Various Supervised Binary Classification Algorithms and their Optimized Variants on High-Dimension Limited-Sample-Size Data-Reference-Cited by-同舟云学术

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Performance Analysis of Various Supervised Binary Classification Algorithms and their Optimized Variants on High-Dimension Limited-Sample-Size Data

Published:2021-11-11 Issue: Volume: Page:
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Container-title:2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Lala Rohan Kumar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9667472/9667553/09667609.pdf?arnumber=9667609

Reference33 articles.

1. Speech Recognition with Deep Learning

2. UCI Machine Learning Repository;dua,2019

3. SMOTE: Synthetic Minority Over-sampling Technique

4. The relationship between Precision-Recall and ROC curves

5. bioNMF: a versatile tool for non-negative matrix factorization in biology

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