Feature Reduction Based on Hybrid Efficient Weighted Gene Genetic Algorithms with Artificial Neural Network for Machine Learning Problems in the Big Data

Table 2

The parameters used in the genetic algorithm of our proposed algorithms.

The parameter name	Used value
Size of population	10
Type of crossover	One point (0.7)
Type of mutation	Flagged (0.2)
Parents selection	Best two
Stop criteria	Number of generations