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Ass. Lect. noha nabawy bahy ahmed :: Publications: |
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| Title: | A Neoteric Prescriptive Statistical Technique on Data Science with Application |
| Authors: | Noha Nabawy; Zohdy Nofal ; Eman Mahmoud |
| Year: | 2024 |
| Keywords: | Prescriptive Statistical Technique;Machine Learning;Imbalance |
| Journal: | Not Available |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | Not Available |
| Local/International: | Local |
| Paper Link: | Not Available |
| Full paper | noha nabawy bahy ahmed_phD Abstract.pdf |
| Supplementary materials | Not Available |
| Abstract: |
The core goal of this thesis is to employ this strategy to ensure the robustness of the proposed model. For all measurements, no single classifier technique exceeded the others. However, when examining balanced datasets against imbalanced datasets, the combination of various machine learning algorithms and application of the voting technique resulted in measures that exceeded the individual machine learning techniques. F1-score measurements show that the proposed model performs better than the individual models. Furthermore, the results obtained with the IBM imbalanced dataset are statistically significant. |
