Table 6.

Performance of classification algorithms.

Algorithmf	Accuracya	Recallb	Precisionc	Specificityd	NPVe
ADID + LLM	80%	90%	82%	57%	72%
Decision tree	63%	76%	72%	35%	40%
PAM	81%	90%	83%	61%	74%
SVM	84%	94%	84%	61%	82%

^a Accuracy is the fraction of correctly classified patients and overall classified patients.

^b Recall is the fraction of correctly classified good outcome patients and the overall predicted good outcome patients.

^c Precision is the fraction of correctly classified good outcome patients and the predicted good outcome patients.

^d Specificity is the fraction of correctly classified poor outcome patients and the overall poor outcome patients.

^e NPV(negative predictive value) is the fraction of correctly classified poor outcome patients and the overall predicted poor outcome patients.

^f Machine learning algorithms utilized for comparison.