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Table 33 Classification accuracy values of the proposed RBNRO-DE with k-NN and different filter and embedded methods

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

Benchmark

RBNRO-DE

Variance Threshold

Correlation

Chi-square

ANOVA

Linear-Regression

Ridge Regularization

Lasso Regularization

Elastic Net

BLCA

1.0000

0.9884

0.9884

0.9767

0.9535

0.9884

0.9884

0.9884

0.9884

CESC

0.9839

0.9839

0.9839

0.9839

0.9839

0.9839

0.9839

0.9839

0.9839

CHOL

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

COAD

1.0000

1.0000

0.9848

1.0000

1.0000

1.0000

1.0000

1.0000

0.9697

ESCA

0.9744

0.9744

0.9744

0.9744

0.9744

0.9744

0.9744

0.9744

0.9744

GBM

1.0000

1.0000

0.9688

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

HNSC

0.9938

0.9823

0.9912

0.9735

0.9823

0.9823

0.9902

0.9912

0.9823

KICH

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

KIRC

0.9983

0.9917

0.9917

0.9923

0.9928

0.9917

0.9917

0.9917

0.9917

KIRP

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

LIHC

1.0000

1.0000

1.0000

0.9765

0.9882

1.0000

1.0000

1.0000

0.9882

LUAD

0.9913

0.9913

0.9913

0.9652

0.9565

0.9913

0.9913

0.9913

0.9652

LUSC

1.0000

1.0000

1.0000

0.9910

1.0000

1.0000

1.0000

1.0000

0.9910

PAAD

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

PCPG

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

READ

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

SARC

0.9811

0.9811

0.9811

0.9811

0.9811

0.9811

0.9811

0.9811

0.9811

SKCM

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

STAD

1.0000

0.9889

0.9889

0.9778

1.0000

0.9889

0.9778

1.0000

0.9889

THCA

1.0000

1.0000

1.0000

0.9821

1.0000

1.0000

1.0000

1.0000

0.9911

THYM

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

1.0000

UCEC

0.9992

0.9500

0.9500

0.9500

0.9750

0.9750

0.9750

0.9750

0.9750

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

\(\mathbf {4|18|0}\)

0|17|5

0|15|7

0|13|9

0|16|6

0|17|5

0|17|5

0|18|4

0|12|10