The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.

Users of logistic regression models often need to describe the overall predictive strength, or effect size, of the model's predictors. Analogs of R² have been developed, but none of these measures are ...

We applied Cox proportional hazards models and logistic regression models, and compared effect estimates (hazard ratios and odds ratios) and statistical power.