Analysis and prediction of protective continuous B-cell epitopes on pathogen proteins

Immunome Research

Table 4 The table shows the class separation measured by 10-fold stratified cross-validation using a C4.5 decision tree learner on the training dataset (MTS). In each row a different combination of input parameters was used as indicated by X (present) in the last four columns. Separation baseline for this dataset is 50%

Nr	%sep	TN	FP	FN	TP	FPrate	TPrate	score	antigen	PTM	var
a	57.78	1086	759	799	1046	0.41	0.57	X	-	-	-
b	54.58	1242	603	1073	772	0.33	0.42	-	X	-	-
c	49.86	920	925	925	920	0.50	0.50	-	-	X	-
d	60.08	1382	463	1010	835	0.25	0.45	-	-	-	X
e	70.41	1399	446	646	1199	0.24	0.65	X	X	X	X
f	63.47	1607	238	1110	735	0.13	0.40	-	X	X	X
g	65.42	1337	508	768	1077	0.28	0.58	X	-	X	X
h	65.28	1259	586	695	1150	0.32	0.62	X	X	-	X
i	66.18	1263	582	666	1179	0.32	0.64	X	X	X	-
j	56.02	1298	547	1076	769	0.30	0.42	-	X	X	-
k	61.00	1446	399	1041	804	0.22	0.44	-	X	-	X
l	63.82	1520	325	1010	835	0.18	0.45	-	-	X	X

Column abbreviations: %sep (% class separation), score (sum score), antigen (PCA19 derived antigenicity score), PTM (post-translational modifications), var (variability score), TPrate (True Positive rate) and FPrate (False Positive rate).