v0.3.0

Highlights

• Added cross-validation utility with configurable metrics, OOF predictions, and optional quiet mode.
• Added get_score methods across supervised models and refactored score to use them without changing existing print behavior.
• Introduced example notebook demonstrating cross-validation on multiple models.

Behavior Changes

• Default random_state now None across the package for more realistic non-deterministic behavior (e.g., split_data, k-means, decision tree, cross-validation).

Documentation

• Added Model Selection section and get_score usage notes in README.