\begin{optiontableAuto}
                    GDTau  &  \mc{1}{c}{--}  &               -1  &  \mc{1}{l}{--}  &  Gradient-directed (GD) path: default fit cut-off \\
                GDTauPrec  &  \mc{1}{c}{--}  &             0.01  &  \mc{1}{l}{--}  &  GD path: precision of tau \\
                   GDStep  &  \mc{1}{c}{--}  &             0.01  &  \mc{1}{l}{--}  &  GD path: step size \\
                 GDNSteps  &  \mc{1}{c}{--}  &            10000  &  \mc{1}{l}{--}  &  GD path: number of steps \\
               GDErrScale  &  \mc{1}{c}{--}  &              1.1  &  \mc{1}{l}{--}  &  Stop scan when error $>$ scale*errmin \\
              LinQuantile  &  \mc{1}{c}{--}  &            0.025  &  \mc{1}{l}{--}  &  Quantile of linear terms (removes outliers) \\
            GDPathEveFrac  &  \mc{1}{c}{--}  &              0.5  &  \mc{1}{l}{--}  &  Fraction of events used for the path search \\
           GDValidEveFrac  &  \mc{1}{c}{--}  &              0.5  &  \mc{1}{l}{--}  &  Fraction of events used for the validation \\
               fEventsMin  &  \mc{1}{c}{--}  &              0.1  &  \mc{1}{l}{--}  &  Minimum fraction of events in a splittable node \\
               fEventsMax  &  \mc{1}{c}{--}  &              0.9  &  \mc{1}{l}{--}  &  Maximum fraction of events in a splittable node \\
                   nTrees  &  \mc{1}{c}{--}  &               20  &  \mc{1}{l}{--}  &  Number of trees in forest. \\
               ForestType  &  \mc{1}{c}{--}  &         AdaBoost  &  AdaBoost, Random  &  Method to use for forest generation (AdaBoost or RandomForest) \\
              RuleMinDist  &  \mc{1}{c}{--}  &            0.001  &  \mc{1}{l}{--}  &  Minimum distance between rules \\
                   MinImp  &  \mc{1}{c}{--}  &             0.01  &  \mc{1}{l}{--}  &  Minimum rule importance accepted \\
                    Model  &  \mc{1}{c}{--}  &    ModRuleLinear  &  ModRule, ModRuleLinear, ModLinear  &  Model to be used \\
            RuleFitModule  &  \mc{1}{c}{--}  &           RFTMVA  &  RFTMVA, RFFriedman  &  Which RuleFit module to use \\
                RFWorkDir  &  \mc{1}{c}{--}  &        ./rulefit  &  \mc{1}{l}{--}  &  Friedman's RuleFit module (RFF): working dir \\
                 RFNrules  &  \mc{1}{c}{--}  &             2000  &  \mc{1}{l}{--}  &  RFF: Mximum number of rules \\
              RFNendnodes  &  \mc{1}{c}{--}  &                4  &  \mc{1}{l}{--}  &  RFF: Average number of end nodes 
\end{optiontableAuto}
