A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms

Table 2

List of single classifiers used in this study. Binary Logistic Regression (BLR) used in OvA and OvO classifications. Multinomial Logistic Regression (MLR) used in four GBS subtypes’ classification.

Single classifier	Approach	Tuning parameter
NN	Instance-based	,
SVM Linear kernel (SVMLin)	Kernel-based
SVM Polynomial kernel (SVMPoly)	Kernel-based	, degree, (), coef
SVM Gaussian kernel (SVMGaus)	Kernel-based	, ()
SVM Laplacian kernel (SVMLap)	Kernel-based	, ()
C4.5	Decision tree	NA
Single Layer Perceptron (SLP)	Neural network	Size, decay
Multilayer Perceptron (MLP)	Neural network	Size
Radial Basis Function ANN (RBF-ANN)	Neural network	Negative threshold
JRip	Rule induction	NumOpt
OneR	Rule induction	NA
Naive Bayes	Bayesian	NA
Binary Logistic Regression (BLR)	Regression	NA
Multinomial Logistic Regression (MLR)	Regression	NA
Linear Discriminant Analysis (LDA)	Discriminant Analysis	NA