Siu0207_2019.zip -

Creating confusion matrices and ROC curves to evaluate model performance.

Often related to severity or churn , such as "Crash Severity" or "Customer Churn". Siu0207_2019.zip

💡 If you are using this for a course assignment, ensure you check for any "Data Dictionary" files inside the zip; these define every column (feature) and its measurement scale. To help you build the feature or model you need: Creating confusion matrices and ROC curves to evaluate

Cleaning null values and generating 10+ visualizations to find correlations. Siu0207_2019.zip

Usually contains a single large CSV or Excel file intended for processing in Python (Pandas) or SAS . Common Analysis Workflow

While the exact columns depend on the specific version, students typically analyze these features for classification or regression tasks: