lr = 0.0001
weight_decay = 0.0005
Validset Accuracy(mean): 78.929766 %
Testset Accuracy(mean): 74.247492 %
Confusion Matirx :
[[175 15]
[ 62 47]]
- Sensitivity : 43.11926605504588
- Specificity : 92.10526315789474
- Precision: 75.80645161290323
- NPV: 73.83966244725738
- F1 : 54.97076023391813


lr = 0.0001
weight_decay = 0.0005
Validset Accuracy(mean): 81.270903 %
Testset Accuracy(mean): 74.581940 %
Confusion Matirx :
[[165 25]
[ 51 58]]
- Sensitivity : 53.21100917431193
- Specificity : 86.8421052631579
- Precision: 69.87951807228916
- NPV: 76.38888888888889
- F1 : 60.416666666666664


lr = 0.0001
weight_decay = 0.0005
Validset Accuracy(mean): 82.608696 %
Testset Accuracy(mean): 73.244147 %
Confusion Matirx :
[[162 28]
[ 52 57]]
- Sensitivity : 52.293577981651374
- Specificity : 85.26315789473684
- Precision: 67.05882352941175
- NPV: 75.70093457943925
- F1 : 58.762886597938135


lr = 0.0001
weight_decay = 0.0005
Validset Accuracy(mean): 78.929766 %
Testset Accuracy(mean): 72.909699 %
Confusion Matirx :
[[156 34]
[ 47 62]]
- Sensitivity : 56.88073394495413
- Specificity : 82.10526315789474
- Precision: 64.58333333333334
- NPV: 76.84729064039408
- F1 : 60.48780487804879


lr = 0.001
weight_decay = 0.0001
Validset Accuracy(mean): 81.605351 %
Testset Accuracy(mean): 73.578595 %
Confusion Matirx :
[[150 40]
[ 39 70]]
- Sensitivity : 64.22018348623854
- Specificity : 78.94736842105263
- Precision: 63.63636363636363
- NPV: 79.36507936507937
- F1 : 63.92694063926941


Validset Accuracy(mean): 81.605351 %
Testset Accuracy(mean): 73.578595 %
Confusion Matirx :
[[150 40]
[ 39 70]]
- Sensitivity : 64.22018348623854
- Specificity : 78.94736842105263
- Precision: 63.63636363636363
- NPV: 79.36507936507937
- F1 : 63.92694063926941
lr = 0.0001
weight_decay = 0.0005
lr = 0.0001
weight_decay = 0.0005
lr = 0.0001
weight_decay = 0.0005
lr = 0.0001
weight_decay = 0.0005
lr = 0.0001
weight_decay = 0.0005