Table 2 Calculated values of cost function, Hellinger-TOPSIS ranks, A-TOPSIS ranks, \(R^*\) and final ranks along with trust level and consensus index for ultrasound images.

From: Comparative performance analysis of binary variants of FOX optimization algorithm with half-quadratic ensemble ranking method for thyroid cancer detection

Sr. No.

Transfer function

Cost value

H-TOPSIS ranking

A-TOPSIS ranking

R*

Final ranks

1.

S1

− 65.4736 ± 0.3480

4

3

3.5000

3

2.

S2

− 65.2897 ± 0.4157

6

6

6.0000

6

3.

S3

− 64.9741 ± 0.3789

8

8

8.0000

8

4.

S4

− 64.8440 ± 0.3567

7

7

7.0000

7

5.

V1

− 67.0822 ± 0.2613

2

1

1.5000

1

6.

V2

− 67.0001 ± 0.4257

5

5

5.0000

5

7.

V3

− 66.8351 ± 0.3790

3

4

3.5000

4

8.

V4

− 66.5852 ± 0.3124

1

2

1.5000

2

     

Consensus index

0.5677

     

Trust level

0.5677

  1. The features are extracted using Swin model and naive bayes is used as a classifer.