Multilabel Classification Recipes
Predict multiple independent yes/no outcomes per customer — which loan types, services, or product categories they are likely to engage with.
Common use cases
- Department affinity — which departments will the customer shop in?
- Cross-sell — which product categories is the customer likely to buy from?
- Content interests — which topics will the user engage with?
- Feature adoption — which platform features will the user try?
- Service propensity — which add-on services will the customer opt into?
Ready-to-run solutions
| Recipe | Industry | Description |
|---|---|---|
| Loan Application Propensity | Finance | Score propensity to apply for various loan types |
| Extra Services Propensity | Car Rental | Predict which add-on services a customer will opt into |
| Category Purchase Propensity | Retail | Score propensity to buy across multiple product categories |
See also: Practical guide
For the full training script, API reference, and default metrics, see the Multilabel Classifier implementation guide.