Table 6 Running time (s) of various methods.

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

2.7051

2.0654

0.3158

2.7052

0.797

0.8321

0.8621

0.1498

Brain

Tumor2

2.2198

1.7982

0.9935

2.1203

1.444

1.199

1.022

0.6445

9_Tumors

2.3992

1.9614

0.4680

2.2582

1.238

1.467

1.297

0.2172

11_Tumors

4.6554

3.2581

0.7814

4.5871

0.795

1.178

1.202

0.5760

Leukemia 1

2.7435

0.773

0.3548

2.2279

0.386

1.113

0.658

0.2803

Leukemia 2

3.1089

1.336

0.5548

2.3918

3.850

1.363

1.159

0.539

Lung

Cancer

3.1698

0.60802

0.4445

1.9268

1.359

1.029

0.78

0.4610

SRBT

0.9265

1.3164

0.5560

1.6856

0.605

0.654

0.659

0.465

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