📋 Summary:

What it is: A dimension that identifies why specific wholesale/depletion outlet accounts were excluded from machine learning churn prediction modeling.

How to use it:
• Filter out accounts that have been inactive for extended periods (Legacy Accounts, No Volume)
• Understand data quality and model limitations by examining accounts with insufficient historical purchase data

Tip: Use NULL values to identify accounts that successfully received a churn prediction, distinguishing them from excluded accounts.

This summary was generated by AI.

📊 Quick Stats:

why an account was NOT scored by the ML model: Already Churned: Account hasn't ordered in 6+ months (already considered lost) Legacy Account: No orders in 2+ years (inactive too long) Insufficient History: Account started ordering less than 90 days ago (not enough data) No Volume: Account has no recorded purchases NULL/blank: Account was successfully scored This field is NULL for accounts that received an ML churn prediction, and contains text for accounts that were excluded from scoring.

Outlet Health Indicators

Type: string