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Table 2 Attribute values for different algorithm ranking with various sub-evaluator

From: Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective

SerialRank

Parameters

Rel Att Eval

Sym Un Att

Info Gain Att

OneR Att

Eval

Eval

Eval

1

Problem during pregnancy

1

1

1

1

2

Abortion

NA

3

3

3

3

Have infection in the genital area

2

2

2

2

4

Affected by breast cancer

4

4

4

4

5

Estrogen pill taken after menopause

15

5

5

9

6

Ever had a hysterectomy

12

6

6

15

7

Condom or diaphragm

7

7

7

6

8

Any birth control pill

5

10

9

5

9

Use napkin

9

11

11

12

10

Pregnancy after 35

14

12

14

10

11

Pap test

18

15

15

7

12

Children after 35

10

16

17

14

13

Takes hormone after menopause

19

17

18

18

14

Take adequate fruit

17

19

19

17

15

Age

12

18

20

19

16

Oral contraception

11

20

21

21

17

Education

NA

21

22

20

18

Age of husband

NA

22

24

22

19

Cancer vaccine taken

NA

24

NA

24

20

First sex age

21

NA

NA

NA

21

Marital status

NA

NA

NA

NA

22

Number of children

20

NA

NA

NA

23

Number of sex partner

22

NA

NA

NA

24

Long term pressure

24

NA

NA

NA