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Table 5 Performance of different GO-vector construction methods based on leave-one-out cross validation (LOOCV) for (a) the virus dataset and (b) the plant dataset

From: mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines

(a) Performance on the viral protein dataset
GO Vector construction Locative accuracy Actual accuracy
methods   
1-0 value 244/252 = 96.8% 179/207 = 86.5%
Term-frequency (TF) 244/252 = 96.8% 184/207 = 88.9%
(b) Performance on the plant protein dataset
GO Vector construction Locative accuracy Actual accuracy
methods   
1-0 value 1014/1055 = 96.1% 788/978 = 80.6%
Term-frequency (TF) 1015/1055 = 96.2% 855/978 = 87.4%