Table 7 The average ± standard deviation validation metric on the randomly selected testing subset across \(N=100\) iterations for the Top-10 algorithms on the “Synthetic” dataset in Table 1. Average (resp., standard deviation) values are rounded to the closest second (resp., first) decimal place.

From: Comprehensive evaluation of pure and hybrid collaborative filtering in drug repurposing

Model

NS AUC

AUC

HAN

\(1.00 \pm 0.0\)

\(1.00 \pm 0.0\)

BNNR

\(1.00 \pm 0.0\)

\(1.00 \pm 0.0\)

LogisticMF

\(1.00 \pm 0.0\)

\(1.00 \pm 0.0\)

ALSWR

\(1.00 \pm 2.10^{-6}\)

\(1.00 \pm 1.10^{-3}\)

Fast.ai

\(1.00 \pm 1.10^{-2}\)

\(1.00 \pm 1.10^{-3}\)

LibMF

\(0.95 \pm 9.10^{-4}\)

PMF

\(0.99 \pm 2.10^{-3}\)

\(0.93 \pm 4.10^{-3}\)

SCPMF

\(0.88 \pm 2.10^{-1}\)

NIMCGCN

\(0.54 \pm 4.10^{-3}\)

\(0.94 \pm 5.10^{-4}\)