Table 2. Summary of Classifiers, Features, Validation Techniques and Sample Sizes used in this study.

Classifiers	Features	Validation	Sample Sizes
Density-Based	Root Mean Squares	Holdout Cross Validation	Original (38 preterm/262 term)
Linear Discriminant Classifier (LDC)	Peak Frequency	k-fold Cross Validation	SMOTE (262 preterm/262 term)
Quadratic Discriminant Classifier (QDC)	Median Frequency	Sensitivity/Specificity	SMOTE Clinical (150 preterm/150 term)
Uncorrelated Normal Density Classifier (UDC)	Sample Entropy	Receiver Operator Curve	Clinical (38 preterm/262 term)
Linear and Polynomial-Based		Area Under the Curve
Polynomial Classifier (POLYC)
Logistic Classifier (LOGLC)
Nonlinear-Based
K Nearest Neighbour Classifier (KNNC)
Decision Tree Classifier (TREEC)
Parzen Classifier (PARZENC)
Support Vector Classifier (SVC)