Table 3. Open in new tab Performance... | Oxford Academic

Table 3.

Open in new tab

Performance comparison of the available predictors evaluated on the SP_final dataset

Method	Accuracy	AUC	Precision	Recall	F-score	NPV	MCC
fDETECT	0.616	0.837	0.913	0.426	0.581	0.494	0.382
TargetCrys	0.608	0.642	0.727	0.595	0.654	0.483	0.217
PPCPred	0.666	0.784	0.863	0.554	0.675	0.535	0.403
CrystalP2	0.654	0.697	0.711	0.750	0.730	0.543	0.249
DeepCrystal	0.683	0.866	0.910	0.547	0.684	0.547	0.457
CLPred	0.801	0.887	0.885	0.783	0.832	0.698	0.599

Method	Accuracy	AUC	Precision	Recall	F-score	NPV	MCC
fDETECT	0.616	0.837	0.913	0.426	0.581	0.494	0.382
TargetCrys	0.608	0.642	0.727	0.595	0.654	0.483	0.217
PPCPred	0.666	0.784	0.863	0.554	0.675	0.535	0.403
CrystalP2	0.654	0.697	0.711	0.750	0.730	0.543	0.249
DeepCrystal	0.683	0.866	0.910	0.547	0.684	0.547	0.457
CLPred	0.801	0.887	0.885	0.783	0.832	0.698	0.599

Note: Bold represents the best result.

Table 3.

Open in new tab

Performance comparison of the available predictors evaluated on the SP_final dataset

Method	Accuracy	AUC	Precision	Recall	F-score	NPV	MCC
fDETECT	0.616	0.837	0.913	0.426	0.581	0.494	0.382
TargetCrys	0.608	0.642	0.727	0.595	0.654	0.483	0.217
PPCPred	0.666	0.784	0.863	0.554	0.675	0.535	0.403
CrystalP2	0.654	0.697	0.711	0.750	0.730	0.543	0.249
DeepCrystal	0.683	0.866	0.910	0.547	0.684	0.547	0.457
CLPred	0.801	0.887	0.885	0.783	0.832	0.698	0.599

Method	Accuracy	AUC	Precision	Recall	F-score	NPV	MCC
fDETECT	0.616	0.837	0.913	0.426	0.581	0.494	0.382
TargetCrys	0.608	0.642	0.727	0.595	0.654	0.483	0.217
PPCPred	0.666	0.784	0.863	0.554	0.675	0.535	0.403
CrystalP2	0.654	0.697	0.711	0.750	0.730	0.543	0.249
DeepCrystal	0.683	0.866	0.910	0.547	0.684	0.547	0.457
CLPred	0.801	0.887	0.885	0.783	0.832	0.698	0.599

Note: Bold represents the best result.