Author:
Kumari Sarita,Upadhaya Amrita
Publisher
Springer Nature Singapore
Reference26 articles.
1. Thanh Noi P, Kappas M (2017) Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using sentinel-2 imagery. Sensors (Basel) 18(1). https://doi.org/10.3390/s18010018
2. Alehegn M, Joshi RR, Mulay P (2019) Diabetes analysis and prediction using random forest, KNN, Naïve Bayes, and J48: an ensemble approach. Int J Sci Technol Res 8(9):1346–1354
3. Mahabub (2019) A robust voting approach for diabetes prediction using traditional machine learning techniques. SN Appl Sci 1(12):1–12. https://doi.org/10.1007/s42452-019-1759-7
4. Agnal S, Saraswathi E (2020) Analyzing diabetic data using naive-bayes classifier. Eur J Mol Clin Med 7(4):2687–2698
5. Afrianto MA, Wasesa M (2020) Booking prediction models for peer-to-peer accommodation listings using logistics regression, decision tree, K-nearest neighbor, and random forest classifiers. J Inf Syst Eng Bus Intell 6(2):123. https://doi.org/10.20473/jisebi.6.2.123-132