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Anglický jazyk
Dataset Modification to improve ML algorithm performance and speed
Autor: Sathish Kumar Penchala
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... Viac o knihe
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O knihe
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.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2021
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9786204733418
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