PREDICTION MODEL TRAINING USING DETECTED ANOMALIES

A system for a prediction model includes an interface and a processor. The interface is configured to receive historical data. The processor is configured to determine hyperparameters based at least in part on a best model of N models; determine the prediction model by training using the hyperparameters on the historical data; determine detected anomalies based at least in part on an output of the prediction model; receive user feedback on the detected anomalies and undetected anomalies; and retrain the prediction model using the hyperparameters and based on the user feedback.