Table 4. The Decision Tree classifier performance for predicting TF targets using the siRNA-generated knockdown data.

TF	Excluding DHS information †			Including DHS information †
	Sensitivity	Specificity	Accuracy	Sensitivity	Specificity	Accuracy
BATF	0.96	0.97	0.96	0.85	1	0.93
JUND	0.86	0.90	0.88	0.80	1	0.90
NFE2L1	0.92	0.95	0.94	0.71	0.93	0.82
PAX5	0.96	0.97	0.96	0.88	0.98	0.93
POU2F2	0.97	0.97	0.97	0.89	0.99	0.94
RELA	0.95	0.96	0.96	0.83	0.97	0.90
RXRA	0.93	0.91	0.92	0.84	0.95	0.89
SP1	0.98	0.98	0.98	0.89	0.99	0.94
TCF12	0.98	0.98	0.98	0.86	0.99	0.93
USF1	0.97	0.98	0.97	0.83	0.98	0.90
YY1	1	1	1	0.55	0.99	0.77

†The average performance of 10 rounds of 10-fold cross validation is indicated. The siRNA-generated knockdown data were obtained from Cusanovich et al. ¹³.