10x 모델별 비교

lr = 0.0001, weight_decay=0.0005

mobilenet_v2

Validset Accuracy(mean): 80.602007 %

Testset Accuracy(mean): 72.240803 %

Confusion Matirx : 
[[155  35]
 [ 48  61]]
- Sensitivity :  55.96330275229357
- Specificity :  81.57894736842105
- Precision:  63.541666666666664
- NPV:  76.35467980295566
- F1 :  59.51219512195123

mobilenet_v3_large

Validset Accuracy(mean): 80.602007 %

Testset Accuracy(mean): 72.240803 %

Confusion Matirx : 
[[155  35]
 [ 48  61]]
- Sensitivity :  55.96330275229357
- Specificity :  81.57894736842105
- Precision:  63.541666666666664
- NPV:  76.35467980295566
- F1 :  59.51219512195123

mobilenet_v3_small

Validset Accuracy(mean): 80.602007 %

Testset Accuracy(mean): 69.230769 %

Confusion Matirx : 
[[149  41]
 [ 51  58]]
- Sensitivity :  53.21100917431193
- Specificity :  78.42105263157895
- Precision:  58.58585858585859
- NPV:  74.5
- F1 :  55.76923076923076

shufflenet_v2_x0_5

Validset Accuracy(mean): 78.595318 %

Testset Accuracy(mean): 69.565217 %

Confusion Matirx : 
[[146  44]
 [ 47  62]]
- Sensitivity :  56.88073394495413
- Specificity :  76.84210526315789
- Precision:  58.490566037735846
- NPV:  75.64766839378238
- F1 :  57.674418604651166

shufflenet_v2_x1_0

Validset Accuracy(mean): 78.595318 %

Testset Accuracy(mean): 69.565217 %

Confusion Matirx : 
[[146  44]
 [ 47  62]]
- Sensitivity :  56.88073394495413
- Specificity :  76.84210526315789
- Precision:  58.490566037735846
- NPV:  75.64766839378238
- F1 :  57.674418604651166

shufflenet_v2_x1_5

Validset Accuracy(mean): 77.591973 %

Testset Accuracy(mean): 71.906355 %

Confusion Matirx : 
[[160  30]
 [ 54  55]]
- Sensitivity :  50.45871559633027
- Specificity :  84.21052631578947
- Precision:  64.70588235294117
- NPV:  74.76635514018692
- F1 :  56.70103092783505

shufflenet_v2_x2_0

Validset Accuracy(mean): 77.257525 %

Testset Accuracy(mean): 74.581940 %

Confusion Matirx : 
[[167  23]
 [ 53  56]]
- Sensitivity :  51.37614678899083
- Specificity :  87.89473684210526
- Precision:  70.88607594936708
- NPV:  75.9090909090909
- F1 :  59.57446808510638

xception

Validset Accuracy(mean): 81.605351 %

Testset Accuracy(mean): 76.254181 %

Confusion Matirx : 
[[172  18]
 [ 53  56]]
- Sensitivity :  51.37614678899083
- Specificity :  90.52631578947368
- Precision:  75.67567567567568
- NPV:  76.44444444444444
- F1 :  61.20218579234973

xception41

Validset Accuracy(mean): 80.267559 %

Testset Accuracy(mean): 78.929766 %

Confusion Matirx : 
[[160  30]
 [ 33  76]]
- Sensitivity :  69.72477064220183
- Specificity :  84.21052631578947
- Precision:  71.69811320754717
- NPV:  82.90155440414507
- F1 :  70.69767441860465

xception41p

Validset Accuracy(mean): 79.598662 %

Testset Accuracy(mean): 76.254181 %

Confusion Matirx : 
[[161  29]
 [ 42  67]]
- Sensitivity :  61.46788990825688
- Specificity :  84.73684210526315
- Precision:  69.79166666666666
- NPV:  79.3103448275862
- F1 :  65.3658536585366

xception65

Validset Accuracy(mean): 75.919732 %

Testset Accuracy(mean): 71.571906 %

Confusion Matirx : 
[[156  34]
 [ 51  58]]
- Sensitivity :  53.21100917431193
- Specificity :  82.10526315789474
- Precision:  63.04347826086957
- NPV:  75.36231884057972
- F1 :  57.711442786069654

xception65p

Validset Accuracy(mean): 78.929766 %

Testset Accuracy(mean): 74.247492 %

Confusion Matirx : 
[[156  34]
 [ 43  66]]
- Sensitivity :  60.550458715596335
- Specificity :  82.10526315789474
- Precision:  66.0
- NPV:  78.39195979899498
- F1 :  63.15789473684211

xception71

Validset Accuracy(mean): 79.933110 %

Testset Accuracy(mean): 74.247492 %

Confusion Matirx : 
[[170  20]
 [ 57  52]]
- Sensitivity :  47.706422018348626
- Specificity :  89.47368421052632
- Precision:  72.22222222222221
- NPV:  74.8898678414097
- F1 :  57.45856353591161