Interpretation Challenges

Cheng-tao and Kyle discuss the challenges of interpreting coefficients in logistic regression due to collinearity and scaling issues, emphasizing the unreliability of such interpretations. They highlight the importance of considering interpretability in industries like credit line history while acknowledging the complexities of model sharing with non-technical audiences.