Table 6 Results of Kruskal–Wallis H-tests for each dataset. For a fixed dataset d, the null hypothesis is “the median NS-AUC value \(\mu _\text {NN}(d)\) obtained on dataset d by pair-oriented neural networks is equal to the median NS-AUC value \(\mu _\text {GB}(d)\) on the same dataset by pair-oriented graph-based approaches”. In each test, the number of elements in each group is \(N=200\). The values are rounded up to the closest first or second decimal places. All tests on adjusted p-values are significant at level \(\alpha =1\%.\).
From: Comprehensive evaluation of pure and hybrid collaborative filtering in drug repurposing
Dataset | Cdataset | LRSSL | PREDICT | DNdataset | TRANSCRIPT | Fdataset | PREDICT (public) | Gottlieb |
|---|---|---|---|---|---|---|---|---|
H | 26.4 | 43.0 | 70.8 | 84.1 | 97.3 | 128.5 | 143.2 | 144.1 |
\(\mu _{NN}-\mu _{GB}\) | \(-0.07\) | \(-0.06\) | \(-0.09\) | \(-0.21\) | \(-0.08\) | \(-0.11\) | \(-0.11\) | \(-0.11\) |