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. 2023 May 4;23(9):4467. doi: 10.3390/s23094467

Table 6.

Performance analysis results of the examined CNN models on color image dataset.

Model Val. Acc. Rec. (TPR) Prec. (PPV) NPV Spec. (TNR) F1-Score AROC FNR FPR FOR FDR Mis Class. Rate
ResNet50 0.995 1 0.99 1 0.99 0.995 0.9998 0 0.01 0 0.0099 0.005
AlexNet 0.995 0.99 1 0.9901 1 0.995 1 0.01 0 0.0099 0 0.005
InceptionV3 0.995 0.99 1 0.9901 1 0.995 0.999 0.01 0 0.0099 0 0.005
ResNet101 0.995 0.99 1 0.9901 1 0.995 0.9998 0.01 0 0.0099 0 0.005
GoogleNet 0.99 0.99 0.99 0.99 0.99 0.99 0.9977 0.01 0.01 0.01 0.01 0.01
VGG16 0.99 0.98 1 0.9804 1 0.9899 1 0.02 0 0.0196 0 0.01
DarkNet53 0.99 0.98 1 0.9804 1 0.9899 0.99 0.02 0 0.0196 0 0.01
Xception 0.99 0.99 0.99 0.99 0.99 0.99 0.9981 0.01 0.01 0.01 0.01 0.01
InceptionResNetV2 0.99 1 0.9804 1 0.98 0.99 0.9981 0 0.02 0 0.0196 0.01
MobileNetV2 0.985 1 0.9709 1 0.97 0.9852 0.9995 0 0.03 0 0.0291 0.015
NasNetMobile 0.985 0.99 0.9802 0.9899 0.98 0.985 0.9984 0.01 0.02 0.0101 0.0198 0.015
DarkNet19 0.985 0.99 0.9802 0.9899 0.98 0.985 0.9926 0.01 0.02 0.0101 0.0198 0.015
ResNet18 0.985 1 0.9708 1 0.97 0.9852 0.9962 0 0.03 0 0.0291 0.015
DenseNet201 0.985 1 0.9708 1 0.97 0.9852 0.9988 0 0.03 0 0.0291 0.015
NasNetLarge 0.985 0.99 0.9802 0.9899 0.98 0.985 0.9984 0.01 0.02 0.0101 0.0198 0.015
Places365-GoogleNet 0.98 1 0.9615 1 0.96 0.9804 0.9991 0 0.04 0 0.0384 0.02
ShuffleNet 0.98 0.97 0.9898 0.9706 0.99 0.9798 0.9904 0.03 0.01 0.0294 0.0102 0.02
SqueezeNet 0.98 0.99 0.9706 0.9897 0.97 0.9802 0.9973 0.01 0.03 0.0102 0.0294 0.02
VGG19 0.97 0.97 0.97 0.97 0.97 0.97 0.995 0.03 0.03 0.03 0.03 0.03