Page 81 - Big Data Analytics for Intelligent Healthcare Management

74 CHAPTER 4 TRANSFER LEARNING AND SUPERVISED CLASSIFIER

Xception+KNN
Xception+SVM
Xception+LR
IRV2+KNN
IRV2+SVM
IRV2+LR Recall
IV3+KNN Precision
Accuracy
IV3+SVM
IV3+LR
RN50+KNN

RN50+SVM
RN50+LR
84 86 88 90 92 94 96 98 100 102
FIG. 4.15
Test performance graph for 40 .

Table 4.11 Result of ResNet-50 with LR, SVM, and K-NN on 100×

Feature Extractor Classifier Accuracy (%) Precision (%) Recall (%) F1-Score (%)
ResNet-50 LR 92.81 93.17 96.47 94.79
SVM 90.41 89.32 97.53 93.24
K-NN 91.37 94.24 92.91 93.57

100
98
96
94
92
90
88
86
84
Logistic regression Support vector K-NN
Accuracy Precision Recall F1score
FIG. 4.16
Performance of ResNet50 with three different classifiers for 100 .