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. 2018 Oct 4;2018:5174815. doi: 10.1155/2018/5174815

Table 27.

Feature selection.

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, 136138]

BFE: best feature extraction; FCBF: fast correlation-based filter; OFR: orthogonal forward regression; SVD: singular value decomposition.