Genetic Algorithm Based Approach in Attribute Weighting for a Medical Data Set

Table 4

The ending time of the genetic algorithm runs within different evaluation methods.

Genetic algorithm	GA ONE	GA cwk-NN	GA wk-NN OVA	GA ONE100
Ended before 20th generation [%]	75.0	18.0	82.9	39.0*
Ended on 10th generation    [%]	48.0	6.0	54.9	12.0*
Ended on 20th generation    [%]	25.0	82.0	17.1	61.0*

The ending generations of the GA ONE100 runs was examined before 100th generation, on 50th generation and on 100th generation.