Table 2 Average validation metrics with standard deviations across 100 iterations and 10 synthetic data sets of each type (total number of values: 1000)
From: Joint embedding–classifier learning for interpretable collaborative filtering
Data set type | AUC | NS-AUC | Spearman’s \(\rho\) |
|---|---|---|---|
First-order | \(0.99 \pm\) 0.013 | \(0.89 \pm\) 0.124 | \(0.83 \pm\) 0.279 |
Second-order | \(0.98 \pm\) 0.019 | \(0.86 \pm\) 0.167 | \(0.75 \pm\) 0.363 |