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82 CHAPTER 4 TRANSFER LEARNING AND SUPERVISED CLASSIFIER

Table 4.21 Result of Inception ResNet V2 With LR, SVM, and K-NN on 400×

Feature Extractor Classifier Accuracy (%) Precision (%) Recall (%) F1-Score (%)
Inception ResNet V2 LR 90.93 92.55 94.40 93.47
SVM 92.03 92.66 96.00 94.30
K-NN 87.09 89.59 92.69 91.12

98
96
94
Accuracy
92
90 Precision
88 Recall
86 F1score
84
82
Logistic regression Support vector K-NN
FIG. 4.28
Performance of Inception ResNet V2 with three different classifiers for 400 .

Table 4.22 Result of Xception with LR, SVM, and K-NN on 100×

Feature Extractor Classifier Accuracy (%) Precision (%) Recall (%) F1-Score (%)
Xception LR 91.21 91.60 96.00 93.75
SVM 89.84 90.80 94.80 92.76
K-NN 84.34 84.23 93.19 88.48

100

95
Accuracy
90
Precision
85
Recall
80 F1score

75
Logistic regression Support vector K-NN
FIG. 4.29
Performance of Xception with three different classifiers for 400 .