84 compare basic fedot vs fedot eith contextual mab warm start

[maypink]

pip install git+https://github.com/aimclub/FEDOT.git@59774e6a7fadb5b2140a0f1c513f8173483a418e
pip uninstall thegolem -y
pip install git+https://github.com/aimclub/GOLEM.git@46b53a49e5651698bfef82dccccfee65f2a1c11f

NOW
pip install git+https://github.com/aimclub/FEDOT.git@e6d2740d4e80b3c57fd10894431ebb4e516bf320
pip uninstall thegolem -y
pip install git+https://github.com/aimclub/GOLEM.git@a6f2b903f4f57919ff137156588374b2e2285eca

[codecov]

Codecov Report

Attention: 259 lines in your changes are missing coverage. Please review.

Comparison is base (bffab03) 29.33% compared to head (bc77eef) 25.49%.
Report is 9 commits behind head on main.

❗ Current head bc77eef differs from pull request most recent head 7a9e882. Consider uploading reports for the commit 7a9e882 to get more accurate results

Files	Patch %	Lines
...l/data_preparation/file_system/persistent_cache.py	0.00%	167 Missing ⚠️
...preparation/models_loaders/fedot_history_loader.py	0.00%	37 Missing ⚠️
meta_automl/approaches/meta_learning_approach.py	0.00%	15 Missing ⚠️
...ion/feature_preprocessors/feature_preprocessors.py	7.14%	13 Missing ⚠️
...ration/meta_features_extractors/pymfe_extractor.py	84.44%	7 Missing ⚠️
...ta_automl/data_preparation/dataset/dataset_base.py	78.57%	6 Missing ⚠️
..._preparation/surrogate_dataset/dataset_generate.py	0.00%	5 Missing ⚠️
...toml/data_preparation/datasets_train_test_split.py	0.00%	2 Missing ⚠️
meta_automl/data_preparation/evaluated_model.py	0.00%	2 Missing ⚠️
...meta_algorithm/model_advisors/surrogate_advisor.py	0.00%	2 Missing ⚠️
... and 3 more

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #86      +/-   ##
==========================================
- Coverage   29.33%   25.49%   -3.85%     
==========================================
  Files          53       57       +4     
  Lines        2359     2530     +171     
==========================================
- Hits          692      645      -47     
- Misses       1667     1885     +218     

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