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