Table 2. AUC Values.

Distance	O-Net	IPUMS	Aid	Congress
BPR	0.84627	0.62831	0.69724	0.93063
ProbS	0.84528	0.61966	0.64224	0.90438
Jaccard	0.80507	0.52031	0.66255	0.91908
Cosine	0.79768	0.52101	0.65484	0.91806
Euclidean	0.68452	0.50441	0.53616	0.80787
Pearson	0.85186	0.50380	0.65881	0.85145
HeatS	0.78843	0.53862	0.52121	0.88540
Hybrid	0.67216	0.56061	0.51862	0.57986

The AUC is the integral of the area below the ROC curve, as shown in Figure 4. If we obtain an AUC equal to.5, then the prediction is said to have a performance equivalent to a random predictor.