Update perfect scores statistics groups with the new statistics

[TatianaBurek]

Describe the Enhancement

MET added a few statistics like CRPS but these statistics were never included into perfect scores statistics groups for adjusting the perfect score. Without this , the calculation of the scorecard can be invalid.
Need to:

• identify missing statistics in perfect_score_adjustment method from utils.py
• for the each new statistic identify the group using John's suggestion:

As for CRPS, this section in Appendix C contains a description of it. Near the bottom, it states:
The score can be interpreted as a continuous version of the mean absolute error (MAE). Thus, the score is negatively oriented, so smaller is better. Further, similar to MAE, bias will inflate the CRPS. Thus, bias should also be calculated and considered when judging forecast quality using CRPS.
So, like MAE, 0 is a perfect score for CRPS. Appendix C is definitely the best place to look for the interpretation of stats, including the definition of what's "perfect".

• include the new statistics into the corresponding group

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