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feat(ml): Add Random Forest interface and tests #46

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Issue: #45

  • Added Random Forest interface with parallel training support
  • Added bootstrap sampling configuration
  • Added out-of-bag score estimation
  • Added feature importance calculation
  • Added comprehensive test suite covering:
    • Binary and multiclass classification
    • Parallel training
    • Bootstrap sampling
    • Feature importance consistency

Issue: #45

- Added Random Forest interface with parallel training support
- Added bootstrap sampling configuration
- Added out-of-bag score estimation
- Added feature importance calculation
- Added comprehensive test suite covering:
  - Binary and multiclass classification
  - Parallel training
  - Bootstrap sampling
  - Feature importance consistency
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