📋 Logistic Regression Decision Cards

This section contains decision cards to guide key modeling choices in logistic regression.

These resources help analysts choose the right feature transformations, select the most appropriate model type, and determine optimal evaluation strategies for classification problems. They also cover special considerations such as proportional odds in ordinal logistic models and threshold tuning for probability-based decisions.

📂 Available Decision Cards

• 📋 Logistic Feature Transformation Trigger Card (Logistic Regression) — Determine when and how to apply transformations to predictors for logistic regression.
• 📋 Logistic Model Evaluation Metric Selector — Choose the most informative evaluation metrics based on project objectives.
• 📋 Logistic Model Type Selection Decision Card — Identify the appropriate logistic model variant for your data and analysis goals.
• 📋 Proportional Odds Assumption Trigger Card — Evaluate whether the proportional odds assumption holds in ordinal logistic regression.
• 📋 Threshold Tuning Decision Card — Optimize classification thresholds for better trade-offs between precision, recall, and other key metrics.