Two completely different graphs have a high similarity of 0.9979, and errors will occur if the data are not normalized.

[xiongmingzhi]

I tested a graph, but got a wrong result, and then compared the test graph with the training graph. These are two completely different graphs, but they have very high accuracy, with an accuracy of 0.9979, which makes me very confused. In addition, in model training, if the data is not normalized, the model will not be trained.The figure is shown below：