CLOUD-DIGITAL-LEADER · Question #3
Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions
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Question
Your team has developed a machine learning model for your customer. The test results indicate very strong predictive capability. The model is then deployed in production. Evaluation of the predictions in production show that they are off by a pronounced margin. What is the issue and how can you solve for it?
Options
- AThe model is under fitted. Train with less data.
- BThe model is over fitted. Add more features to the model to fix it.
- CThe model is fine since the test results are good. Fix the production of incoming data.
- DThe model is overfitted. Train with more data.
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