ml-specialty video for an Analytics Consulting Firm wants you to review a Classification Model trained on historical data and deployed about 6 months ago. At
An Analytics Consulting Firm wants you to review a Classification Model trained on historical data and deployed about 6 months ago. At the time of deployment the model performance was up to the mark. Post deployment, the model has not been retrained on the incremental data coming in every day. Now the model performance has gone down significantly. As an ML Specialist, which of the following solutions would you recommended to address the given use case?