Author:
Adewale M. D.,Ebem D. U.,Awodele O.,Azeta A.,Aggrey E. M.,Okechalu E. A.,Olayanju K. A.,Owolabi A. F.,Oju J.,Ubadike O. C.,Otu G. A.,Muhammed U. I.,Oluyide O. P.
Publisher
Springer Nature Switzerland
Reference44 articles.
1. Aftarczuk, K.: Evaluation of selected data mining algorithms implemented in Medical Decision Support Systems, Blekinge Institute of Technology School of Engineering, Blekinge (2007)
2. Agu, S., Onu, F., Ezemagu, U., Oden, D.: Predicting gross domestic product to macroeconomic indicators. Intell. Syst. Appl. 14, 200082 (2022). https://doi.org/10.1016/j.iswa.2022.200082
3. Allawala, A., Ramteke, A., Wadhwa, P.: Performance impact of minority class reweighting on XGBoost-based anomaly detection. Int. J. Mach. Learn. Comput. 12(4) (2022). https://doi.org/10.18178/ijmlc.2022.12.4.1093
4. Ameer, S., et al.: Comparative analysis of machine learning techniques for predicting air quality in smart cities. IEEE Access 7, 128325–128338 (2019). https://doi.org/10.1109/access.2019.2925082
5. Bellotti, A., Brigo, D., Gambetti, P., Vrins, F.: Forecasting recovery rates on non-performing loans with machine learning. Int. J. Forecast. 37, 428–444 (2021). https://doi.org/10.1016/j.ijforecast.2020.06.009