============= Abbreviations ============= =========================================== ======================================= A to M N to Z =========================================== ======================================= **ACC:** accuracy **NN:** neural network **ADAB:** AdaBoost **PFI:** permutation feature importance **CSV:** comma separated values **R2:** coefficient of determination **CLAS:** classification **REG:** Regression **CV:** cross-validation **RF:** random forest **F1 score:** balanced F-score **RMSE:** root mean square error **GB:** gradient boosting **RND:** random **GP:** gaussian process **SHAP:** Shapley additive explanations **KN:** k-nearest neighbors **VR:** voting regressor **MAE:** root-mean-square error **MCC:** Matthew's correlation coefficient **ML:** machine learning **MVL:** multivariate lineal models =========================================== =======================================