Cancer data classification using binary bat optimization and extreme learning machine with a novel fitness function.

Cancer classification is one of the crucial tasks in medical field. The gene expression of cells helps in identifying the cancer. The high dimensionality of gene expression data hinders the classification performance of any machine learning models.