Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms

This work addresses a conceptual framework problem for researchers in statistics and machine learning, but it is incremental as it builds directly on existing theoretical ideas.

The paper extends Leo Breiman's 'Two Cultures' thesis by proposing a bifurcation of algorithmic modeling into parametric regressions, interpretable algorithms, and complex algorithms, without presenting new experimental results or numerical outcomes.