5x 모델별 비교

lr = 0.0001, weight_decay = 0.0005

mobilenet_v2

Validset Accuracy(mean): 76.588629 %

Testset Accuracy(mean): 71.906355 %

Confusion Matirx : 
[[151  39]
 [ 45  64]]
- Sensitivity :  58.71559633027523
- Specificity :  79.47368421052632
- Precision:  62.13592233009708
- NPV:  77.04081632653062
- F1 :  60.37735849056604

mobilenet_v3_large

Validset Accuracy(mean): 79.933110 %

Testset Accuracy(mean): 73.244147 %

Confusion Matirx : 
[[147  43]
 [ 37  72]]
- Sensitivity :  66.05504587155964
- Specificity :  77.36842105263158
- Precision:  62.60869565217392
- NPV:  79.8913043478261
- F1 :  64.2857142857143

mobilenet_v3_small

 Validset Accuracy(mean): 75.585284 %

Testset Accuracy(mean): 67.892977 %

Confusion Matirx : 
[[138  52]
 [ 44  65]]
- Sensitivity :  59.63302752293578
- Specificity :  72.63157894736842
- Precision:  55.55555555555556
- NPV:  75.82417582417582
- F1 :  57.52212389380531

shufflenet_v2_x0_5

Validset Accuracy(mean): 78.929766 %

Testset Accuracy(mean): 69.565217 %

Confusion Matirx : 
[[161  29]
 [ 62  47]]
- Sensitivity :  43.11926605504588
- Specificity :  84.73684210526315
- Precision:  61.8421052631579
- NPV:  72.19730941704036
- F1 :  50.8108108108108

shufflenet_v2_x1_0

Validset Accuracy(mean): 77.257525 %

Testset Accuracy(mean): 73.578595 %

Confusion Matirx : 
[[160  30]
 [ 49  60]]
- Sensitivity :  55.04587155963303
- Specificity :  84.21052631578947
- Precision:  66.66666666666666
- NPV:  76.55502392344498
- F1 :  60.30150753768844

shufflenet_v2_x1_5

Validset Accuracy(mean): 76.588629 %

Testset Accuracy(mean): 71.906355 %

Confusion Matirx : 
[[164  26]
 [ 58  51]]
- Sensitivity :  46.788990825688074
- Specificity :  86.31578947368422
- Precision:  66.23376623376623
- NPV:  73.87387387387388
- F1 :  54.83870967741936

shufflenet_v2_x2_0

Validset Accuracy(mean): 77.591973 %

Testset Accuracy(mean): 73.244147 %

Confusion Matirx : 
[[160  30]
 [ 50  59]]
- Sensitivity :  54.12844036697248
- Specificity :  84.21052631578947
- Precision:  66.29213483146067
- NPV:  76.19047619047619
- F1 :  59.59595959595959

xception

Validset Accuracy(mean): 80.602007 %

Testset Accuracy(mean): 77.257525 %

Confusion Matirx : 
[[167  23]
 [ 45  64]]
- Sensitivity :  58.71559633027523
- Specificity :  87.89473684210526
- Precision:  73.5632183908046
- NPV:  78.77358490566037
- F1 :  65.3061224489796

xception41

Validset Accuracy(mean): 81.270903 %

Testset Accuracy(mean): 72.909699 %

Confusion Matirx : 
[[148  42]
 [ 39  70]]
- Sensitivity :  64.22018348623854
- Specificity :  77.89473684210526
- Precision:  62.5
- NPV:  79.14438502673798
- F1 :  63.348416289592755

xception41p

Validset Accuracy(mean): 78.929766 %

Testset Accuracy(mean): 76.254181 %

Confusion Matirx : 
[[163  27]
 [ 44  65]]
- Sensitivity :  59.63302752293578
- Specificity :  85.78947368421052
- Precision:  70.65217391304348
- NPV:  78.74396135265701
- F1 :  64.67661691542288

xception65

Validset Accuracy(mean): 71.571906 %

Testset Accuracy(mean): 69.565217 %

Confusion Matirx : 
[[138  52]
 [ 39  70]]
- Sensitivity :  64.22018348623854
- Specificity :  72.63157894736842
- Precision:  57.377049180327866
- NPV:  77.96610169491525
- F1 :  60.606060606060595

xception65p

Validset Accuracy(mean): 78.929766 %

Testset Accuracy(mean): 77.257525 %

Confusion Matirx : 
[[161  29]
 [ 39  70]]
- Sensitivity :  64.22018348623854
- Specificity :  84.73684210526315
- Precision:  70.70707070707071
- NPV:  80.5
- F1 :  67.3076923076923

xception71

Validset Accuracy(mean): 78.929766 %

Testset Accuracy(mean): 75.919732 %

Confusion Matirx : 
[[168  22]
 [ 50  59]]
- Sensitivity :  54.12844036697248
- Specificity :  88.42105263157895
- Precision:  72.8395061728395
- NPV:  77.06422018348624
- F1 :  62.10526315789474