Table 1 List of abbreviations used in this paper
Abbreviation | Full name | Abbreviation | Full name |
|---|---|---|---|
A1DE | Average one dependency estimator | IQR | Interquartile range |
AdaBoost | Adaptive boosting | KDE | Kernel density estimation |
ADASYN | Adaptive synthetic | kNN | k-nearest neighbors |
ANFIS | Adaptive euro-fuzzy inference system | LASSO | Least absolute shrinkage and selection operator |
ANN | Artificial neural network | LD | Liver disease |
AUC | Area under the ROC curve | LGBM | Light gradient-boosting machine |
BDT | Bagged decision tree | LR | Logistic regression |
BUPA | British United Provident Association Ltd | LDPD | Liver disease patient dataset |
CART | Classification and regression trees | MLP | Multilayer perceptron |
CCA | Correlation coefficient analysis | NB | naïve Bayes |
CDT | credal decision tree | NLD | No liver disease |
CHAID | Chi-square automated interaction detection | RepTree | Reduced error pruning tree |
CHIRP | Composite hypercube on iterated random projection | RF | Random forest |
CNN | Convolutional neural network | ROC | Receiver operating characteristic |
DT | Decision tree | RotF | Rotation forest |
EDA | Exploratory data analysis | RT | Random tree |
ENRR | Elastic net regularised regression | SMOTE | Synthetic minority oversampling technique |
ET | Extra trees | SVM | Support vector machine |
EV | Esophageal varices | UCI | University of California, Irvine |
Forest-PA | Forest by penalizing attributes | VIF | Variance inflation factor |
GB | Gradient boosting | WBC | White blood cell |
ILPD | Indian liver patient dataset | WEKA | Waikato environment for knowledge analysis |
INR | International normalized ratio | XGB | eXtreme gradient boosting |