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Table 2 Validation metrics for a collection of machine learning algorithm runs over testsets containing feature from the groups denoted in table 1

From: An improved machine learning protocol for the identification of correct Sequest search results

Feature groups

Algorithm

Accuracy

Sensitivity

Specificity

AUC ROC

Net pred.

All

ABWillow

0.97505

0.56504

0.99385

0.96379

0.77945

 

ABC4.5

0.97361

0.58815

0.99269

0.94821

0.79042

 

RFC4.5

0.97276

0.57212

0.99259

0.87901

0.78235

 

ADtree

0.97688

0.7248

0.98988

0.96923

0.86118

SEQUEST

ABWillow

0.96951

0.48762

0.99336

0.90723

0.74050

 

ABC4.5

0.97258

0.57018

0.99250

0.907084

0.78139

Published

RFC4.5

0.97228

0.58961

0.99122

0.912744

0.79042

 

ADtree

0.96925

0.48762

0.99310

0.90604

0.74032

-

PeptideProphet

0.9688

0.54

0.99

-

0.765