| Autor: |
Aykut PELİT, Turgay İBRİKÇİ, Pelin ÖZALP, Bora TAŞTEKİN |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 25, Iss 6, Pp 741-747 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1309-2251 |
| DOI: |
10.9775/kvfd.2018.21381 |
| Popis: |
The aim of this study was to investigate the J48 mediated decision tree algorithm from the principal component analysis - PCA, which is more complex, one of the statistical algorithms of diabetic metabolic disorders of Wistar albino rats" biochemical values and magnetic field application. Wistar Albino rats were examined under 4 different groups including the control group. When the results were examined, it was observed that PCA increased the success rate of classification from 96.25% to 97.50% when used with J48 decision tree algorithm. Thus, the PCA-supported J48 algorithm demonstrated that Wistar albino rats could be successfully used on the data obtained from more complex diabetic metabolic values. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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