Table 2:
Confusion matrix of classified results by proposed method based on complex network.
Project
Class 1
Class 2
Class 3
Class 1
4387
7
8
Class 2
15
5467
0
Class 3
23
0
6477
Kappa coefficient
0.9951
Kappa error
0.0007
Maximum Possible Kappa
0.9979