Champion Challenger

Champion refers to the first model deployed, after calibrating the parameters for a specific model objective. Challenger(s) refers to the subsequent models deployed for the same model objective but with different techniques used for predictions.

When several prediction models (challengers) are deployed and one of the challengers produces optimum output meeting all the prediction requirements, the same can be set as Champion.