interpretability vs flexibility

Table of Contents

1. Interpretability vs flexibility

  • Interpretability: The ability of the model to provde insight into the response based on input variables.
  • Flexibility: The ability of the model to capture variance in the training data.

Typically,

\begin{equation} Interpretability \propto \frac{1}{Flexibility} \end{equation}

flexibility_vs_interpretability.jpeg

Figure 1: Interpretability vs flexibility

Date: 2025-03-07 Fri 07:42

Created: 2025-07-05 Sat 00:00

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