APA (7th ed.) Citation

Mariadass, D. A., Moung, E. G., Sufian, M. M., & Farzamnia, A. (2022). Extreme gradient boosting (XGBoost) regressor and shapley additive explanation for crop yield prediction in agriculture. Institute of Electrical and Electronics Engineers Inc.

Chicago Style (17th ed.) Citation

Mariadass, Dennis A/L, Ervin Gubin Moung, Maisarah Mohd Sufian, and Ali Farzamnia. Extreme Gradient Boosting (XGBoost) Regressor and Shapley Additive Explanation for Crop Yield Prediction in Agriculture. Institute of Electrical and Electronics Engineers Inc, 2022.

MLA (9th ed.) Citation

Mariadass, Dennis A/L, et al. Extreme Gradient Boosting (XGBoost) Regressor and Shapley Additive Explanation for Crop Yield Prediction in Agriculture. Institute of Electrical and Electronics Engineers Inc, 2022.

Warning: These citations may not always be 100% accurate.