SDTEST Estimate classifier error/performance on test set

    ERR=SDTEST(PD,DATA)   % using trained pipeline and data set
    ERR=SDTEST(DATA,PD)   % using trained pipeline and data set
    ERR=SDTEST(DATA,DEC) % from a test set and decisions
    ERR=SDTEST(LAB,DEC)  % from labels and decisions

 Specifying performance measures:
    [ERR,R,T]=SDTEST(DATA,PD,'measures',{'class-errors','TPr','apple','precision','banana'})

 INPUTS
   DATA     Test set
   PD       Trained pipeline returning decisions
   LAB      Ground truth labels (SDLAB)
   DEC      Classifier decisions (SDLAB)

 OUTPUT
   ERR      Estimated error/performance measures (scalar or vector)
   R        SDROC object with performances
   T        Time of execution in seconds

 DESCRIPTION
 SDTEST estimates errors or performances by applying trained pipeline PD
 on the test set or by comparing true labels and decisions. By default,
 SDTEST returns mean error over classes. Other measures may be defined
 using 'measures' option similarly to the SDROC.

 SEE ALSO
 SDROC