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Table 2 User-specified parameters of the GA-based method

From: A novel community detection based genetic algorithm for feature selection

Parameter

Values

Crossover rate

0.8

Mutation rate

0.05

Population Size

100

Iteration number

100

\( \omega \) (Selected feature in each community)

3

\( \theta \) (Edge removing)

0.2