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Table 1 Classification performance

From: Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression

CB-RMA

ZS-RMA

Validation

Recall

Precision

Validation

Recall

Precision

LDOCV

FK

0.568

0.263

LDOCV

FK

0.622

0.277

 

GSE2990

0.5

0.286

 

GSE2990

0.536

0.3

 

GSE11121

0.63

0.315

 

GSE11121

0.609

0.322

 

Average

0.576

0.289

 

Average

0.596

0.301

LOOCV

0.631

0.370

LOOCV

0.512

0.317

Percentage fold

0.531

0.273

Percentage fold

0.563

0.228

Stratified perc. fold

0.677

0.198

Stratified perc. fold

0.613

0.25

RMA

CB-MBEI

Validation

Recall

Precision

Validation

Recall

Precision

LDOCV

FK

0.622

0.304

LDOCV

FK

0.649

0.282

 

GSE2990

0.607

0.283

 

GSE2990

0.571

0.314

 

GSE11121

0.609

0.280

 

GSE11121

0.652

0.341

 

Average

0.613

0.289

 

Average

0.631

0.313

LOOCV

0.613

0.289

LOOCV

0.550

0.289

Percentage fold

0.5

0.208

Percentage fold

0.625

0.282

Stratified perc. fold

0.645

0.257

Stratified perc. fold

0.692

0.237

ZS-MBEI

MBEI

Validation

Recall

Precision

Validation

Recall

Precision

LDOCV

FK

0.73

0.297

LDOCV

FK

0.486

0.290

 

GSE2990

0.571

0.333

 

GSE2990

0.643

0.290

 

GSE11121

0.696

0.36

 

GSE11121

0.522

0.414

 

Average

0.677

0.331

 

Average

0.539

0.339

LOOCV

0.550

0.279

LOOCV

0.550

0.299

Percentage fold

0.625

0.299

Percentage fold

0.625

0.282

Stratified perc. fold

0.692

0.225

Stratified perc. fold

0.808

0.28

fRMA

    

Validation

Recall

Precision

    

LDOCV

FK

0.649

0.279

    
 

GSE2990

0.464

0.283

    
 

GSE11121

0.5

0.319

    
 

Average

0.544

0.307

    

LOOCV

0.512

0.308

    

Percentage fold

0.588

0.23

    

Stratified perc. fold

0.581

0.265