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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