Table 1 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

− 61.2401 ± 0.5131

6

7

6.5000

6

2.

S2

− 61.0373 ± 0.4052

5

5

5.0000

5

3.

S3

− 60.8880 ± 0.5404

7

6

6.5000

7

4.

S4

− 60.8589 ± 0.3989

8

8

8.0000

8

5.

V1

− 62.9983 ± 0.4413

1

1

1.0000

1

6.

V2

− 63.1388 ± 0.5027

2

2

2.0000

2

7.

V3

− 62.9797 ± 0.4063

3

3

3.0000

3

8.

V4

− 62.8899 ± 0.5982

4

4

4.0000

4

     

Consensus index

0.7501

     

Trust level

0.7501

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