Table 5 Ablation study for the proposed AFHDC MOADL method.

From: IoT assisted fetal health classification using mother optimization algorithm with deep learning approach on cardiotocogram data

Configuration

Accuracy (%)

Precision (%)

Sensitivity (%)

F1 score (%)

ROC AUC (%)

Full AFHDC MOADL (MOA + GCN + RMSProp)

98.12

96.86

94.34

95.40

99.80

Without MOA

94.62

93.10

90.02

91.90

97.42

Without RMSProp optimization

95.31

94.08

91.40

92.60

98.10

GCN replaced with MLP

93.84

92.21

89.15

90.40

96.55

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