Table 9 Feature selection details of classical and quantum models.

From: A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques

Model

Total Feature

Selected Feature

Reduced (%) = \(\:\left(1-\frac{Selected\:Features}{Total\:Features}\right)\times\:100\)

CGA

11

9

19

QGA

11

7

37

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