Table 1.

Performance of CleavePred models (simple and advanced) and the known motif (KM) model on the NeuroPred dataset

Metric	Simple CleavePred (%)	Advanced CleavePred (%)	KM model (%)	Mammal model (%)
AUC	80.42	76.75	74.78	81.38
Accuracy	89.87	88.68	71.55	77.02
Sensitivity	64.98	57.23	81.60	68.69
Precision	79.13	78.69	48.29	55.92
Specificity	95.87	96.26	67.85	80.08
F1-Score	71.36	66.26	60.67	61.65

Performance measured using CV (10-fold) on 4,802 windows/samples. AUC: Area under ROC curve.