Data Set Modification to Improve ML Algorithm Performance and Speed - Kishore Anthuvan Sahayaraj K.,Sathish Kumar Penchala
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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 h ... Visas aprašymas
Aprašymas
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.
Daugiau informacijos
| Autorius | Kishore Anthuvan Sahayaraj K., Sathish Kumar Penchala |
|---|---|
| Leidėjas | LAP LAMBERT Academic Publishing |
| Išleidimo metai | 2021 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9786203928723 |