What is the primary goal of using evaluation metrics in machine learning?
Practice Questions
1 question
Q1
What is the primary goal of using evaluation metrics in machine learning?
To improve model accuracy
To compare different models
To understand model behavior
All of the above
The primary goal of using evaluation metrics is to improve model accuracy, compare different models, and understand model behavior.
Questions & Step-by-step Solutions
1 item
Q
Q: What is the primary goal of using evaluation metrics in machine learning?
Solution: The primary goal of using evaluation metrics is to improve model accuracy, compare different models, and understand model behavior.
Steps: 4
Step 1: Understand that evaluation metrics are tools used to measure how well a machine learning model is performing.
Step 2: Know that the primary goal of these metrics is to improve model accuracy, which means making the model better at making correct predictions.
Step 3: Realize that evaluation metrics help in comparing different models to see which one works best for a specific task.
Step 4: Learn that these metrics also help us understand how the model behaves, such as where it makes mistakes or how confident it is in its predictions.
