Evaluate the coverage and precision of your machine-learning (ML) solutions by testing them. Once deployed, track the performance over time to see how your solutions perform. Use the information to make changes to your solutions to improve the predictions.

Testing solutions

After your ML solutions are trained, you can call on the Predictive Intelligence API to make a solution prediction. Use the API to test the following solutions:

Monitoring predictions

For classification predictions, use the Prediction Results dashboard to track the coverage and precision of predictions over time.

To learn how, see Track classification prediction results over time.

Prediction troubleshooting

For troubleshooting common issues with solution predictions, see the Predictive Intelligence Common issues [KB781893] article in the Now Support Knowledge Base.