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Table 11 The number of extracted features by 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

147

125

300

CESC

125

125

238

CHOL

125

125

210

COAD

125

125

149

ESCA

125

140

300

GBM

125

124

195

HNSC

139

125

225

KICH

125

125

214

KIRC

153

127

386

KIRP

125

125

150

LIHC

125

130

233

LUAD

130

127

212

LUSC

131

125

400

PAAD

125

125

200

PCPG

125

125

195

READ

125

125

216

SARC

125

146

190

SKCM

125

125

182

STAD

144

129

267

THCA

125

126

222

THYM

125

125

140

UCEC

151

127

188

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

4|10|8

\(\mathbf {8|10|4}\)

0|0|22