Table 4 F-1 score 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

0.8235

0.8163

0.8791

0.8311

0.8018

0.8237

0.8441

0.8800

Brain

Tumor2

0.9094

0.8925

0.9176

0.8875

0.9201

0.9575

0.9304

0.9542

9_Tumors

0.7956

0.7040

0.8833

0.8662

0.7981

0.8248

0.8473

0.8844

11_Tumors

0.9559

0.8766

0.9233

0.8399

0.9089

0.9218

0.9403

0.9455

Leukemia 1

0.9176

0.8693

0.9436

0.9465

0.9211

0.9385

0.9406

0.9735

Leukemia 2

0.9078

0.9063

0.9379

0.9214

0.9587

0.9778

0.9654

0.9867

Lung

Cancer

0.8924

0.8650

0.9103

0.9094

0.9219

0.9391

0.9248

0.9642

SRBT

0.9998

0.9923

0.9975

0.9811

0.9749

0.9980

0.9896

0.9996

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