Table 2. 
Classification accuracy for each pair of training and testing sets. The training sets were composed of 90% of the samples coming from a specific network (version 1, 2, or 3), or 90% of all samples (all versions). The testing sets contained the remaining samples from the network version that are not used for training, that is, the remaining 10%. The number of samples in every testing set is reported in parentheses.
Training setTesting set
Ver. 1Ver. 2Ver. 3All ver.
Version 1 100% (28) 86.67% (180) 91.18% (170) 89.68% (378) 
Version 2 97.69% (130) 100% (24) 93.33% (240) 95.18% (394) 
Version 3 99.23% (130) 99.17% (240) 100% (24) 99.23% (394) 
All versions 100% (28) 100% (24) 100% (24) 100% (76) 
Training setTesting set
Ver. 1Ver. 2Ver. 3All ver.
Version 1 100% (28) 86.67% (180) 91.18% (170) 89.68% (378) 
Version 2 97.69% (130) 100% (24) 93.33% (240) 95.18% (394) 
Version 3 99.23% (130) 99.17% (240) 100% (24) 99.23% (394) 
All versions 100% (28) 100% (24) 100% (24) 100% (76) 
Close Modal

or Create an Account

Close Modal
Close Modal