Research Article

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

Table 8

The end result of the genetic algorithm using ONE inference in population evaluation after at most 100 generations. True positive rates and the total classification accuracies of the best individual in the end populationare given in percentages [%] from 10 times repeated 10-fold cross-validation.

DiseaseCasesGA ONE 100
ONE1ONE12ONE123

ANE13167.179.989.6
BPV17356.982.092.8
MEN35089.996.197.9
SUD4761.790.997.0
TRA7380.396.499.7
VNE15769.678.786.0
BRV2023.053.575.0

Median TPRā€‰67.182.092.8

Total accuracy 95173.987.393.5