BMC Bioinformatics

Table 3 Results of CNN-DDI and other state-of-art models

From: CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks

Algorithm	ACC	AUPR	AUC	F1	Precision	Recall
CNN-DDI	0.8871	0.9251	0.9980	0.7496	0.8556	0.7220
GBDT	0.8327	0.8828	0.9970	0.6730	0.7817	0.6133
RF	0.7837	0.8446	0.9959	0.5167	0.6973	0.4444
KNN	0.7581	0.8166	0.9881	0.6250	0.7562	0.5596
LR	0.7558	0.8087	0.9950	0.3894	0.5617	0.3331

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ISSN: 1471-2105

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