Scenario BNSL-2016

## Scenario id                           : BNSL-2016
## Performance measures                  : runtime
## Performance types                     : runtime
## Algorithm cutoff time                 : 7200
## Algorithm cutoff mem                  : 30000
## Instance Feature cutoff time          : 10
## Instance Feature cutoff mem           : NA
## Algorithm Feature cutoff time         : -
## Algorithm Feature cutoff mem          : -
## Nr. of instances                      : 1179
## Instance Features (deterministic) ( 38)  : Variable.Count, VPOPS.Mean, POPS.Count, PSS.Maximum, PSS....
## Instance Features (stochastic) ( 48)  : Greedy.hill.climbing.Error.bound, Greedy.hill.climbing.In...
## Algorithm Features (deterministic)        : -
## Algorithm Features (stochastic)        : -
## Feature repetitions                   : 1 - 1
## Feature costs                         : Yes
## Algo.                          (  8)  : astar.ec, astar.ed3, astar.comp, cpbayes, ilp.141, ilp.14...
## Algo. repetitions                     : 1 - 1
## Algo. runs (inst x algo x rep)        : 9432
## Feature steps                  (  7)  : basic, basic_extended, lower_bounding, greedy_probing, A....
## CV repetitions                        : 1
## CV folds                              : 10
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