[MODEL] Why transforms may appear inactive (Dlaczego transformy nie poprawiaja modelu)

[rojberr]

User Story:

As a machine learning engineer,
I want to analyze why data transformations aren't improving model performance,
So that I can either fix the transformation pipeline or remove unnecessary transforms to simplify the codebase.

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Acceptance Criteria:

1. Diagnostic documentation created showing transform effects on model metrics
2. Comparison between raw vs. transformed feature importance
3. Benchmark tests showing performance with/without each transform
4. Identified at least 3 potential improvement paths:
   • Transform sequence optimization
   • Parameter tuning for existing transforms
   • Complete replacement of ineffective transforms
5. Refactored code with clear justification for changes
6. Performance baseline established pre/post changes

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Definition of Done:

• Transform analysis report generated (Jupyter notebook/Markdown)
• Model metrics dashboard shows delta from transformations
• Code passes feature importance validation tests
• CI pipeline includes transform effectiveness check
• Team can replicate analysis with updated documentation

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