A Multi-Index Generative Adversarial Network for Tool Wear Detection with Imbalanced Data

Table 5

The comparisons of different machine learning methods.

Method	-recall	-precision	-F
KNN [31]	0.71	0.76	0.72
SVM [32]	0.67	0.75	0.69
RF [33]	0.69	0.76	0.71
CNN [14]	0.81	0.79	0.79
Inception Net [34]	0.85	0.89	0.83
DenseNet [35]	0.91	0.93	0.94
ResNet [36]	0.92	0.95	0.95
SE-Net [37]	0.93	0.96	0.95
Nonlocal-Net [38]	0.96	0.96	0.93
MI-GAN	0.97	0.97	0.97