now outputs positive infinity instead of nan when no run was successful
now filters outliers in successful and unsuccessful runs by using two standard deviations of the mean of successful runs as lower bound
this change allows having unsuccessful runs in the database with low evaluations / runtime (e.g. due to being aborted early or from an experiment where the max budget was lower)
worked on recommendation algorithms
implemented several performance measures (absolute error, absolute log error, ndcp, kendall's tau) to evaluate the ranking
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