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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\(76.91\pm 2.15\)\(55.44\pm 6.26\)\(68.89\pm 7.41\)\(35.61\pm 3.01\)