• Monitor: To determine a model’s accuracy, constant monitoring is needed. When we make any changes, we want to check if those changes are going to affect anything. And this needs to be monitored constantly to ensure if the changes are doing what they are supposed to do.
  • Evaluation:  Evaluation of any model is necessary to determine if a new algorithm is needed.
  • Comparison: To check which model performance is the best, a comparison between models is needed.
  • Rebuilding: To achieve a best-performing model, re-built on the current state of data is required.
BY Best Interview Question ON 02 Nov 2022

Suggest An Answer