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72 CHAPTER 4 TRANSFER LEARNING AND SUPERVISED CLASSIFIER
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Logistic regression Support vector K-NN
Accuracy Precision Recall F1score
FIG. 4.12
Performance of InceptionV3 with three different classifiers on 40 .
Table 4.9 Result of Inception ResNet V2 with LR, SVM, and K-NN on 40×
Feature Extractor Classifier Accuracy (%) Precision (%) Recall (%) F1 Score (%)
Inception ResNet V2 LR 92.23 93.52 95.80 94.65
SVM 95.99 96.55 97.90 97.22
K-NN 89.47 92.19 92.19 92.19
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Logistic regression Support vector K-NN
Accuracy Precision Recall F1score
FIG. 4.13
Performance of Inception ResNet V2 with three different classifiers on 40 .
