Use metadata to validate inputs to BinaryClassifierEfficacy precision and recall metrics

[R-Palazzo]

CU-86b3zyra8
Resolve #727

This PR contains 3 main contributions:

• Resolve Use metadata to validate inputs to BinaryClassifierEfficacy precision and recall metrics #727
• Filter out PII columns for the new ML efficacy metrics (Row 3 of the bug hunt sheet but without issue filled)
• Make the metadata validation consistent among the entire library as we discussed @amontanez24

Since news metrics include metadata as a parameter, it's beneficial to always refer to what's defined in _utils_metadata.py to ensure consistency.

[sdv-team]

Task linked: CU-86b3zyra8 SDMetrics - Use metadata to validate inputs to BinaryClassifierEfficacy precision and recall metrics #727

[codecov]

Codecov Report

Attention: Patch coverage is 99.09910% with 1 line in your changes missing coverage. Please review.

Project coverage is 95.29%. Comparing base (2dc391a) to head (4a20f7e).
Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
sdmetrics/_utils_metadata.py	98.79%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #729      +/-   ##
==========================================
+ Coverage   95.09%   95.29%   +0.19%     
==========================================
  Files         111      112       +1     
  Lines        4305     4378      +73     
==========================================
+ Hits         4094     4172      +78     
+ Misses        211      206       -5     

Flag	Coverage Δ
integration	79.57% <88.28%> (+0.36%)	⬆️
unit	82.98% <98.19%> (+0.42%)	⬆️

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[frances-h]

Looks good, thanks for centralizing this!