Data Set Modification to Improve ML Algorithm Performance and Speed
(Sprache: Englisch)
We propose two pre-processing steps to classification that apply convex hull- based algorithms to the training set to help improve the performance and speed of classification. The Class Reconstruction algorithm uses a clustering algorithm combined with a...
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We propose two pre-processing steps to classification that apply convex hull- based algorithms to the training set to help improve the performance and speed of classification. The Class Reconstruction algorithm uses a clustering algorithm combined with a convex hull-based approach that re-labels the dataset with a new and expanded class structure. We demonstrate how this performance- improvement algorithm helps boost the accuracy results of Naive Bayes in some, but not all, cases that use real-world datasets.
Autoren-Porträt von Dr. Sathish Kumar Penchala, Dr. Kishore Anthuvan Sahayaraj K.
Penchala, Dr. Sathish KumarDr. Sathish Kumar Penchala, an education professional, received master's in Distributed Computing System and Doctorate in CSE. He published various journals on Machine Learning. Dr. Kishore Anthuvan Sahayaraj, an education professional, received master's in Distributed Computing System and Doctorate CSE.
Bibliographische Angaben
- Autoren: Dr. Sathish Kumar Penchala , Dr. Kishore Anthuvan Sahayaraj K.
- 2021, 72 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203928720
- ISBN-13: 9786203928723
Sprache:
Englisch
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