Prediction of lymphedema occurrence in patients with breast cancer using the optimized combination of ensemble learning algorithm and feature selection

Table 1 Adjustment of Genetic algorithm parameters

Parameters description	Values
Number of repeats	100
Population size	50
Percentage of the best current-generation chromosomes (PR)	10
Percentage of combination operator (PC)	60
Percentage of Mutation Operator (PM)	30
Parental selection in selection and jump operator	Roulette Wheel Selection (RWS)

ISSN: 1472-6947