Table 27.
Feature selection methods | Articles |
---|---|
AUC maximization | [58, 83, 112, 122] |
BFE | [133] |
Consistency-based filter (CBF), correlation-based feature selection (CFS), filtered subset evaluator (FSE), Chi squared (CS), gain ratio (GR), relief-F, symmetrical uncertainty (SU), and ensemble feature selection (EFS) | [114] |
Correlation-based pursuit | [129] |
FCBF | [140] |
Fit-curve model | [40] |
Genetic | [41, 130] |
Logistic regression | [107, 178] |
Manual | [96] |
OFR | [135] |
p value | [81, 109, 126, 127, 176] |
PCA | [139] |
Ranking by Fisher ratio score | [38] |
Reverse sequential feature selection | [42] |
SVD | [77] |
SVM classifier (best performers) | [85, 136–138] |
BFE: best feature extraction; FCBF: fast correlation-based filter; OFR: orthogonal forward regression; SVD: singular value decomposition.