Identification of AIDS Disease Severity Using Genetic Algorithm - Computational Intelligence Techniques for Comparative Genomics - page 104

Rule 2: As followed Above Calculations Sensitivity = 3.5, Speci city = 1.1875,

Comprehensibility = 0.666

Fitness Function = 4.28945,
Accuracy = 1.444.

Rule 3: As followed Above Calculations Sensitivity = 1.0, Speci city = 0.8888,

Comprehensibility = 0.6666

Fitness Function = 1.022,
Accuracy = 1.28571.

Rule 4: As followed Above Calculations Sensitivity = 3.5, Speci city = 1.1875,

Comprehensibility = 0.666

Fitness Function = 4.28945,
Accuracy = 1.444.
These rules are used to consider AIDS disease severity. And these rules are
followed for accuracy, sensitivity, and speci

city results (see Table 4 ).
The Clonal Selection Algorithm using to calculate accuracy, sensitivity, speci-
city and Fitness Function using Columns (see Fig. 7 ).

Table 4 Presentation of
sensitivity, speci city, tness
function, accuracy of rules

Rules Sensitivity Specicity Fitness

function

Accuracy

Rule 1 2.0 1.0 2.1332 1.1

Rule 2 3.5 1.1875 4.28945 1.44

Rule 3 1.0 0.8888 1.022 1.28571

Rule 4 3.5 1.187 4.28877 1.4

6

4

Rule1
Rule2
Rule3

2

0

Rule4

Fig. 7 Presentation of columns sensitivity, specitivity, tness function, accuracy of rules