Learn how to set up proactive monitors for chargebacks (false negative rate) and false positive transactions for your credit card fraud model.
Troubleshoot bad data quality, drifting features, and low-performing cohorts of your ad click-through rate model.
Identify where your demand forecasting model is over/under predicting and for which items/locations your model might require retraining.
Improve your customer lifetime value model by identifying low-performing cohorts and drifting features.
Learn how to set up a collaborative filtering model, normally used in recommendation engines, in the Arize platform.
Learn how to troubleshoot a search ranking model using a rank-aware evaluation metric
