Table 1 Table defining the acronyms related to the used feature selection and classification methods.
From: Machine Learning methods for Quantitative Radiomic Biomarkers
Classification method acronym | Classification method name | Feature Selection method acronym | Feature selection method name |
|---|---|---|---|
Nnet | Neural network | RELF | Relief |
DT | Decision Tree | FSCR | Fisher score |
BST | Boosting | GINI | Gini index |
BY | Bayesian | CHSQ | Chi-square score |
BAG | Bagging | JMI | Joint mutual information |
RF | Random Forset | CIFE | Conditional infomax feature extraction |
MARS | Multi adaptive regression splines | DISR | Double input symmetric relevance |
SVM | Support vector machines | MIM | Mutual information maximization |
DA | Discriminant analysis | CMIM | Conditional mutual information maximization |
NN | Neirest neighbour | ICAP | Interaction capping |
GLM | Generalized linear models | TSCR | T-test score |
PLSR | Partial least squares and prinicipal componenet regression | MRMR | Minimum redundancy maximum relevance |
— | — | MIFS | Mutual information feature selection |
— | — | WLCX | Wilcoxon |
