What is a potential risk of deploying a machine learning model without proper va

Practice Questions

Q1
What is a potential risk of deploying a machine learning model without proper validation?
  1. Increased training time
  2. Overfitting
  3. Poor user experience
  4. Data leakage

Questions & Step-by-Step Solutions

What is a potential risk of deploying a machine learning model without proper validation?
  • Step 1: Understand what a machine learning model is. It is a program that learns from data to make predictions or decisions.
  • Step 2: Know that before using the model in real life, it needs to be tested. This is called validation.
  • Step 3: Realize that if the model is not validated, it might not work well when used by people.
  • Step 4: Consider that a poorly performing model can confuse users or give wrong information.
  • Step 5: Conclude that proper validation is important to ensure the model meets user needs and expectations.
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