Scientific Reports

Table 6 Performance gain comparison on different datasets using accuracy, AUC-ROC, and F1-score.

From: Hybrid deep learning framework for accurate classification of high dimensional genomic data

Dataset: TCGA-BRCA
Model	Accuracy Gain (%)	AUC-ROC Gain (%)	F1-Score Gain (%)
El-Nabawy et al.¹³	+6.2	+5.1	+4.7
Lu et al.¹⁴	+4.8	+4.0	+4.3
Proposed Method	+7.8	+7.1	+7.4

Dataset: GSE72056
Model	Accuracy Gain (%)	AUC-ROC Gain (%)	F1-Score Gain (%)
Wei et al.¹⁵	+5.3	+4.5	+4.6
Bazgir and Lu²⁰	+5.9	+5.2	+4.8
Proposed Method	+7.8	+7.1	+7.4

Dataset: ENCSR000AED
Model	Accuracy Gain (%)	AUC-ROC Gain (%)	F1-Score Gain (%)
Zhu et al.²³	+4.6	+4.2	+4.4
Feng et al.³⁰	+5.1	+4.8	+4.7
Wang et al.⁴⁰	+6.0	+5.3	+5.0
Proposed Method	+7.8	+7.1	+7.4

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