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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?
Increased training time
Overfitting
Poor user experience
Data leakage
Questions & Step-by-Step Solutions
What is a potential risk of deploying a machine learning model without proper validation?
Steps
Concepts
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.
No concepts available.
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