Improving Classification Accuracy of Scikit-learn Classifiers with Discrete Fuzzy Interval Values
Understanding machine learning (ML) algorithm from scratch is time consuming. Thus, many software and library packages such as Weka and Scikit-Learn have been introduced to help researchers run simulation on several amounts of well-known classifiers. In ML, different classifiers have different perfo...
| Main Authors: | Hishamuddin, M.N.F., Hassan, M.F., Tran, D.C., Mokhtar, A.A. |
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| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29869 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097524594&doi=10.1109%2fICCI51257.2020.9247696&partnerID=40&md5=80d1e8e4c3f9a70d31ab39ce1de3c105 http://eprints.utp.edu.my/29869/ |
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