Table 5 G-mean results on cancer gene microarray data.

From: A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data

Datasets

µR + SVM

NCFS + SVM

WELM

DAGSVM

BiGAN

EGBAD

MAD-GAN

Ours

Brain

Tumor1

0.9194

0.8635

0.9465

0.9028

0.9442

0.8286

0.8706

0.9623

Brain

Tumor2

0.9291

0.8092

0.9230

0.9143

0.9691

0.8730

0.8304

0.9890

9_Tumors

0.8037

0.8094

0.8120

0.8145

0.8101

0.8411

0.8223

0.8537

11_Tumors

0.9233

0.9385

0.9786

0.9365

0.9488

0.8503

0.9488

0.9676

Leukemia 1

0.9391

0.8856

0.9148

0.9036

0.9681

0.8849

0.9569

0.9691

Leukemia 2

0.9039

0.9101

0.8996

0.8780

0.9104

0.8294

0.5542

0.9392

Lung

Cancer

0.8812

0.8916

0.9215

0.9214

0.9006

0.9656

0.9283

0.9586

SRBT

0.9944

0.9958

0.9855

0.983

0.1879

0.9201

0.9769

0.9922

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