Page 85 - Big Data Analytics for Intelligent Healthcare Management

78 CHAPTER 4 TRANSFER LEARNING AND SUPERVISED CLASSIFIER

100
98

96
Accuracy
94
Precision
92 Recall
90 F1score
88

86
Logistic regression Support vector K-NN

FIG. 4.21
Performance of ResNet50 with three different classifiers for 200 .

Table 4.16 Result of Inception V3 With LR, SVM, and K-NN on 200×

Feature Extractor Classifier Accuracy (%) Precision (%) Recall (%) F1-Score (%)
Inception V3 LR 89.83 90.71 94.42 92.53
SVM 91.56 90.66 97.40 93.91
K-NN 90.07 92.36 93.66 93.01

98

96
94
Accuracy
92 Precision
Recall
90
F1score
88

86
Logistic regression Support vector K-NN
FIG. 4.22
Performance of InceptionV3 with three different classifiers for 200 .