A Comprehensive Methodical Strategy for Forecasting Anticipated Time of Delivery in Online Food Delivery Organizations

Author:

Kumar Sanjay,Kumari Sushma,Upreti Kamal,Vats Prashant

Publisher

Springer Nature Singapore

Reference33 articles.

1. Statista. Available https://www.statista.com/outlook/dmo/eservices/onlinfood-delivery/india

2. Ayyadevara VK. Gradient boosting machine. Available https://link.springer.com/chapter/10.1007/978-1-4842-3564-5_6

3. Schapire RE. Explaining AdaBoost Available https://link.springer.com/chapter/10.1007/978-3-642-41136-6_5

4. Sheridan RP, Wang WM, Liaw A, Ma J, Gifford EM. Extreme gradient boosting as a method for quantitative structure–activity relationships, Available https://pubs.acs.org/doi/abs/10.1021/acs.jcim.6b00591

5. Liu J, Gao Y, Hu F. A fast network intrusion detection system using adaptive synthetic over- sampling and Light GBM. Available https://www.sciencedirect.com/science/arti-cle/pii/S0167404821001139

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