Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm

The machine learning process in high-dimensional datasets is far more complicated than in low-dimensional datasets. In high-dimensional datasets, Feature Selection (FS) is necessary to decrease the complexity of learning. However, FS in high-dimensional datasets is a complex process that requires th...

Ausführliche Beschreibung