Protection and Control of Modern Power Systems

Table 2 Results of Different Numbers of Blocks

From: Detection of false data injection attacks on power systems using graph edge-conditioned convolutional networks

Block(l)	Acc	Pre	Reca	\(\mathrm {F_1}\)
Block(1)	0.989636	0.990011	0.894684	0.939937
Block(2)	0.992455	0.998937	0.919765	0.957718
Block(3)	0.995000	0.998926	0.945122	0.971279
Block(4)	0.992636	0.998907	0.919517	0.957569
Block(5)	0.992273	0.998913	0.916251	0.955798
Block(6)	0.992182	0.998891	0.913793	0.954449
Block(7)	0.991818	0.993443	0.915408	0.952830

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