Rework some of the result classes

[nnansters]

In response to the needs of Nikos in the data quality calculators I've done some quick rework to the Result class hierarchy, introducing some new abstract classes to inherit from (until we can get rid of those nasty components).

Also refactored the filter behavior across the different levels of the class hierarchy to build on top of each other.

[nnansters]

@michael-nml FYI

[codecov]

Codecov Report

Patch coverage: 100.00% and project coverage change: +0.06 🎉

Comparison is base (18fe766) 79.95% compared to head (fc9d982) 80.01%.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #288      +/-   ##
==========================================
+ Coverage   79.95%   80.01%   +0.06%     
==========================================
  Files          82       82              
  Lines        6546     6536      -10     
  Branches     1040     1037       -3     
==========================================
- Hits         5234     5230       -4     
+ Misses       1049     1043       -6     
  Partials      263      263              

Impacted Files	Coverage Δ
nannyml/base.py	82.29% <100.00%> (+1.80%)	⬆️
nannyml/data_quality/missing/result.py	92.00% <100.00%> (ø)
nannyml/data_quality/unseen/result.py	92.30% <100.00%> (ø)
...l/drift/multivariate/data_reconstruction/result.py	92.85% <100.00%> (ø)
nannyml/drift/univariate/result.py	93.42% <100.00%> (ø)
nannyml/performance_calculation/result.py	78.94% <100.00%> (-1.70%)	⬇️
...performance_estimation/confidence_based/metrics.py	95.76% <100.00%> (+0.13%)	⬆️
...performance_estimation/confidence_based/results.py	100.00% <100.00%> (ø)
...rmance_estimation/direct_loss_estimation/result.py	100.00% <100.00%> (ø)

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[michael-nml]

Looks good to me! Filter refactor is a nice improvement 👌