TABLE 1.

Performance of incremental feature selection (IFS) with support vector machine (SVM), random forest (RF), and repeated incremental pruning to produce error reduction (RIPPER) for classifying different tumor cells.

Classifier	Number of features	SN	SP	ACC	MCC
SVM	169	1.000	0.987	0.990	0.967
RF	159	0.986	0.978	0.979	0.934
RIPPER	38	0.986	0.981	0.982	0.942