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Table 10 Fitness values of the proposed RBNRO-DE based on k-NN, SVM and XGBoost classifiers

From: Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data

Benchmark

RBNRO-DE with k-NN

RBNRO-DE with SVM

RBNRO-DE with XGBoost

BLCA

0.0029

0.0025

0.0030

CESC

0.0185

0.0025

0.0170

CHOL

0.0025

0.0025

0.0100

COAD

0.0025

0.0025

0.0100

ESCA

0.0279

0.0113

0.0300

GBM

0.0025

0.0025

0.0100

HNSC

0.0089

0.0025

0.0283

KICH

0.0025

0.0025

0.0100

KIRC

0.0047

0.0025

0.0112

KIRP

0.0025

0.0025

0.0100

LIHC

0.0025

0.0026

0.0020

LUAD

0.0112

0.0103

0.0020

LUSC

0.0026

0.0025

0.0129

PAAD

0.0025

0.0025

0.0100

PCPG

0.0025

0.0025

0.0100

READ

0.0025

0.0025

0.0100

SARC

0.0212

0.0067

0.0197

SKCM

0.0025

0.0025

0.0100

STAD

0.0029

0.0125

0.0470

THCA

0.0025

0.0025

0.0200

THYM

0.0025

0.0025

0.0100

UCEC

0.0038

0.0025

0.0030

Ranking (\(\text {W|T|L}\))

1|11|10

\(\mathbf {8|11|3}\)

2|0|20