\begin{optiontableAuto}
                Boost\_Num  &  \mc{1}{c}{--}  &              100  &  \mc{1}{l}{--}  &  Number of times the classifier is boosted \\
      Boost\_MonitorMethod  &  \mc{1}{c}{--}  &             True  &  \mc{1}{l}{--}  &  Write monitoring histograms for each boosted classifier \\
 Boost\_DetailedMonitoring  &  \mc{1}{c}{--}  &            False  &  \mc{1}{l}{--}  &  Produce histograms for detailed boost-wise monitoring \\
               Boost\_Type  &  \mc{1}{c}{--}  &         AdaBoost  &  AdaBoost, Bagging, HighEdgeGauss, HighEdgeCoPara  &  Boosting type for the classifiers \\
Boost\_BaggedSampleFraction  &  \mc{1}{c}{--}  &              0.6  &  \mc{1}{l}{--}  &  Relative size of bagged event sample to original size of the data sample (used whenever bagging is used) \\
   Boost\_MethodWeightType  &  \mc{1}{c}{--}  &          ByError  &  ByError, Average, ByROC, ByOverlap, LastMethod  &  How to set the final weight of the boosted classifiers \\
  Boost\_RecalculateMVACut  &  \mc{1}{c}{--}  &             True  &  \mc{1}{l}{--}  &  Recalculate the classifier MVA Signallike cut at every boost iteration \\
       Boost\_AdaBoostBeta  &  \mc{1}{c}{--}  &                1  &  \mc{1}{l}{--}  &  The ADA boost parameter that sets the effect of every boost step on the events' weights \\
          Boost\_Transform  &  \mc{1}{c}{--}  &             step  &  step, linear, log, gauss  &  Type of transform applied to every boosted method linear, log, step \\
         Boost\_RandomSeed  &  \mc{1}{c}{--}  &                0  &  \mc{1}{l}{--}  &  Seed for random number generator used for bagging 
\end{optiontableAuto}
