Use namedtuple to store curve results (ROC, PR)

[amrit110]

PR Type ([Feature | Fix | Documentation | Test])

Refactor, addresses #558

Short Description

• Use namedtuple to store ROC and PR curve results in the evaluation metrics (experimental). Avoids creating bugs when accessed using indices. It still preserves unpacking during function calls.
• Fixed accessing in classification plotter to use attribute than indices

Tests Added

...

[codecov]

Codecov Report

Attention: Patch coverage is 87.80488% with 10 lines in your changes are missing coverage. Please review.

Project coverage is 70.78%. Comparing base (e92bcca) to head (838bc96).

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #572      +/-   ##
==========================================
+ Coverage   70.70%   70.78%   +0.08%     
==========================================
  Files         126      126              
  Lines       11220    11262      +42     
==========================================
+ Hits         7933     7972      +39     
- Misses       3287     3290       +3     

Files	Coverage Δ
.../experimental/functional/precision_recall_curve.py	86.52% <100.00%> (+0.29%)	⬆️
...ps/evaluate/metrics/experimental/functional/roc.py	90.99% <100.00%> (+0.60%)	⬆️
...ate/metrics/experimental/precision_recall_curve.py	100.00% <100.00%> (ø)
cyclops/evaluate/metrics/experimental/roc.py	100.00% <100.00%> (ø)
...luate/metrics/functional/precision_recall_curve.py	64.94% <100.00%> (+1.31%)	⬆️
cyclops/evaluate/metrics/functional/roc.py	77.77% <100.00%> (+1.69%)	⬆️
cyclops/evaluate/metrics/precision_recall_curve.py	62.32% <100.00%> (+0.79%)	⬆️
cyclops/evaluate/metrics/roc.py	90.69% <100.00%> (+0.95%)	⬆️
cyclops/evaluate/metrics/utils.py	80.28% <100.00%> (+0.86%)	⬆️
cyclops/report/plot/classification.py	0.00% <0.00%> (ø)

[rjavadi]

Looks good to me.