RunResult.txt

运行的输出结果如下所示：
/*******************************/
gamma = 4.500000
alpha = 0.050000
开始训练......
epoch:    0 | loss: 0.00258814 | loss_veri: 0.00621901 | Train accuracy: 0.2162% | Veri accuracy: 0.2154%
epoch:  100 | loss: 0.00017447 | loss_veri: 0.00251406 | Train accuracy: 99.9140% | Veri accuracy: 99.9114%
epoch:  200 | loss: 0.00008479 | loss_veri: 0.00215873 | Train accuracy: 99.9031% | Veri accuracy: 99.9282%
epoch:  300 | loss: 0.00003982 | loss_veri: 0.00190572 | Train accuracy: 99.9233% | Veri accuracy: 99.9102%
epoch:  400 | loss: 0.00002317 | loss_veri: 0.00180689 | Train accuracy: 99.9387% | Veri accuracy: 99.9282%
epoch:  500 | loss: 0.00001847 | loss_veri: 0.00177402 | Train accuracy: 99.9555% | Veri accuracy: 99.9473%
epoch:  600 | loss: 0.00001490 | loss_veri: 0.00174974 | Train accuracy: 99.9630% | Veri accuracy: 99.9506%
epoch:  700 | loss: 0.00001345 | loss_veri: 0.00173803 | Train accuracy: 99.9675% | Veri accuracy: 99.9529%
epoch:  800 | loss: 0.00001214 | loss_veri: 0.00172684 | Train accuracy: 99.9723% | Veri accuracy: 99.9630%
epoch:  900 | loss: 0.00001151 | loss_veri: 0.00172158 | Train accuracy: 99.9738% | Veri accuracy: 99.9675%
epoch: 1000 | loss: 0.00001090 | loss_veri: 0.00171622 | Train accuracy: 99.9761% | Veri accuracy: 99.9686%
Training complete in 0m 38s
train acc: 100.0%, test acc: 100.0, ver acc: 100.0%
The Confusion Matrix is
[[266728     57]
 [    14    564]]
The  accuracy is: [0.9997]
The precision is: [0.9999 0.9082]
The   recall  is: [0.9998 0.9758]
The  f1 score is: [0.9999 0.9408]
The Confusion Matrix is
[[88914    15]
 [   13   179]]
The  accuracy is: [0.9997]
The precision is: [0.9999 0.9227]
The   recall  is: [0.9998 0.9323]
The  f1 score is: [0.9998 0.9275]
gammaBest=4.5
alphaBest=0.05
accBest=0.927461139896373
Training complete in 0m 50s