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Table 1 Individual and average accuracies, precisions, recalls and F1-scores of the proposed classification models evaluated using test dataset

From: Single-cell conventional pap smear image classification using pre-trained deep neural network architectures

  Accuracy Precision Recall F1-score   Accuracy Precision Recall F1-score
NASNetLarge DC 0.992 0.980 0.980 0.980 InceptionResNetV2 DC 0.992 0.962 1.000 0.980
KC 0.964 0.894 0.930 0.912 KC 0.958 0.899 0.890 0.894
MC 0.970 0.913 0.940 0.926 MC 0.968 0.904 0.940 0.922
PC 0.994 0.990 0.980 0.985 PC 0.988 0.980 0.960 0.970
SIC 0.988 1.000 0.940 0.969 SIC 0.990 1.000 0.950 0.974
Average 0.982 0.955 0.954 0.954 Average 0.979 0.949 0.948 0.948
Xception DC 0.990 0.961 0.990 0.975 ResNet152V2 DC 0.986 0.952 0.980 0.966
KC 0.968 0.920 0.920 0.920 KC 0.958 0.891 0.900 0.896
MC 0.974 0.922 0.950 0.936 MC 0.968 0.904 0.940 0.922
PC 0.986 0.989 0.940 0.964 PC 0.992 0.990 0.970 0.980
SIC 0.998 1.000 0.990 0.995 SIC 0.988 1.000 0.940 0.969
Average 0.983 0.959 0.958 0.958 Average 0.978 0.947 0.946 0.946
InceptionV3 DC 0.988 0.943 1.000 0.971 DenseNet201 DC 0.988 0.961 0.980 0.970
KC 0.964 0.936 0.880 0.907 KC 0.964 0.918 0.900 0.909
MC 0.966 0.888 0.950 0.918 MC 0.978 0.941 0.950 0.945
PC 0.984 0.979 0.940 0.959 PC 1.000 1.000 1.000 1.000
SIC 0.994 1.000 0.970 0.985 SIC 0.998 1.000 0.990 0.995
Average 0.979 0.949 0.948 0.948 Average 0.986 0.964 0.964 0.964
ResNet101V2 DC 0.986 0.951 0.980 0.966 ResNet152 DC 0.992 0.971 0.990 0.980
KC 0.964 0.918 0.900 0.909 KC 0.968 0.912 0.930 0.921
MC 0.962 0.893 0.920 0.906 MC 0.974 0.939 0.930 0.935
PC 0.994 0.980 0.990 0.985 PC 0.996 1.000 0.990 0.995
SIC 0.990 1.000 0.950 0.974 SIC 0.992 1.000 0.980 0.990
Average 0.979 0.949 0.948 0.948 Average 0.986 0.964 0.964 0.964
ResNet101 DC 0.992 0.980 0.980 0.980 DenseNet169 DC 0.998 1.000 0.990 0.995
KC 0.962 0.909 0.900 0.905 KC 0.974 0.922 0.950 0.936
MC 0.972 0.913 0.950 0.931 MC 0.978 0.941 0.950 0.945
PC 0.998 1.000 0.990 0.995 PC 0.998 1.000 0.990 0.995
SIC 0.996 1.000 0.980 0.990 SIC 0.998 1.000 0.990 0.995
Average 0.984 0.961 0.960 0.960 Average 0.990 0.974 0.974 0.974