[ENH] Add capability:predict_proba tag for classifiers

[Nithurshen]

Reference Issues/PRs

Fixes #1599

What does this implement/fix? Explain your changes.

This PR implements the capability:predict_proba tag to distinguish between classifiers that provide meaningful probability estimates and those that strictly return 0/1, such as 1-Nearest Neighbor.

Specific changes:

1. BaseClassifier: Added capability:predict_proba to the default tags, set to True.
2. KNeighborsTimeSeriesClassifier: Updated __init__ to dynamically set this tag to False when n_neighbors=1.
3. ClassifierPipeline: Updated __init__ to ensure the pipeline inherits this tag from its underlying classifier instance, fixing polymorphic behavior.
4. Tests: Added aeon/classification/tests/test_predict_proba_tag.py to verify that tags are correctly set for 1-NN vs 5-NN and correctly propagated through pipelines.

Does your contribution introduce a new dependency? If yes, which one?

No

Any other comments?

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[Nithurshen]

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