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Table 2 AUPR scores on the Chembl-based dataset in the four \(S_1\), \(S_2\), \(S_3\), or \(S_4\) settings, and for a test sample positive:negative ratio 1:5

From: Evaluation of deep and shallow learning methods in chemogenomics for the prediction of drugs specificity

 

\(S_1\)

\(S_2\)

\(S_3\)

\(S_4\)

NRLMF

\(77.95\pm 0.27\)

\(58.85\pm 5.74\)

\(58.71\pm 1.3\)

\(30.6\pm 1.54\)

CN

\(76.91\pm 2.15\)

\(55.44\pm 6.26\)

\(68.89\pm 7.41\)

\(35.61\pm 3.01\)