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. 2024 Jun 21;14(7):783. doi: 10.3390/life14070783
ML abbreviations
ADAB adaptive boosting model
ANN artificial neural network
AR autoregressive model
BI-LSTM bidirectional long short-term memory network
BN Bayesian network model
CATB categorical boosting model
CBR case-based reasoning
CONV-LSTM convolutional long short term memory network
DT decision tree
EBM explainable boosting machine
ENR elastic net regularization regression
GAMS generalized additive model
GAN generative network
GB gradient boosting model
KNN k-nearest neighbors model
LGB light gradient boosting model
LOG-R logistic regression
LR linear regression
LSTM long short-term memory network
MLP multi-layer perception network
NN neural network
ODEs ordinary differential equations
PINNs physics-informed neural networks
RF random forest
RNN recurrent neural network
SEIR susceptible exposed infected recovered model
SVM support vector machine
XGB extreme gradient boosting model
XAI abbreviations
ALE accumulated local effects
CW connection weights
FCA formal concept analysis
ICE individual conditional expectation
IG integrated gradients
LIME local interpretable model-agnostic explanation
MCW modified connection weights
MS most squares
SHAP Shapley value-based explanation
PDP partial dependence plot
PFI permutation feature importance
PGM probabilistic graphical model
VB Variance-based model