Table 4.

Comparison of different classifiers. Median (first quartile to third quartile) class-specific recall (${\mathrm{rec}}_{\mathrm{class}}$), precision (${\mathrm{prec}}_{\mathrm{class}}$), and $F1$ score ($F{1}_{\mathrm{class}}$) are reported for the four different tissue classes. Classification is obtained using the histogram of LBPs and first-order statistics. kNN, $k$-nearest neighbors; NB, naive Bayes; RF, random forest; and SVM, support vector machines.

	$k\mathrm{NN}$	NB	RF	SVM
${\mathrm{rec}}_{\mathrm{class}}$	90 (84–93)	78 (74–82)	89 (84–91)	93 (90–96)
${\mathrm{prec}}_{\mathrm{class}}$	89 (86–91)	81 (73–84)	87 (86–89)	94 (91–95)
$F{1}_{\mathrm{class}}$	89 (86–91)	79 (74–83)	89 (86–90)	92 (91–95)