Table 4 The 20 machine learning models used in this study.
From: Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning
Model Name | Abbreviation | Type |
|---|---|---|
AdaBoost Regressor | ADA | Ensemble Learning |
Automatic Relevance Determination | ARD | Bayesian Linear |
Bayesian Ridge | BR | Bayesian Regression |
CatBoost Regressor | CATBOOST | Gradient Boosting |
Decision Tree Regressor | DT | Decision Tree |
Elastic Net | EN | Linear Model |
Extra Trees Regressor | ETR | Tree Model |
Gradient Boosting Regressor | GBR | Gradient Boosting |
Huber Regressor | HUBER | Linear Model |
K Neighbors Regressor | KNN | Nearest Neighbors |
Kernel Ridge | KR | Kernel Method |
Lasso Regression | LASSO | Linear Model |
Light Gradient Boosting Machine | LGBM | Gradient Boosting |
Lasso Least Angle Regression | LLAR | Linear Model |
Linear Regression | LR | Linear Model |
MLP Regressor | MLP | Neural Network |
Random Forest Regressor | RF | Random Forest |
Ridge Regression | RR | Linear Model |
TheilSen Regressor | TR | Tree Model |
Extreme Gradient Boosting | XGBOOST | Gradient Boosting |
