Data Set Modification to Improve ML Algorithm Performance and Speed - Kishore Anthuvan Sahayaraj K.,Sathish Kumar Penchala
-30% ar kodu BOOKS
Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
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 ... Pilns apraksts
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.
Vairāk informācijas
| Autors | Kishore Anthuvan Sahayaraj K., Sathish Kumar Penchala |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2021 |
| Vāka tips | Mīkstais vāks |
| EAN | 9786203928723 |