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

This article explains how to implement logistic regression using Python. There are several machine learning libraries that have built-in logistic regression functions, but using a code library isn't ...

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 ...

Table 3 Power of logistic regression (LR) with the reference-coding scheme by empty-cell status of the designated interaction Full size table ...

The effect estimates tended to be more extreme for the logistic regression models than for the Cox proportional hazards models (Figure 1a). The rank correlation coefficient for P -values was 0.54.