MISSION 156

Evaluating Model Performance

Learn how to test models using error metrics and simple validation.

Objectives

  • Learn how to evaluate model accuracy using MSE and RMSE.
  • Lean how to compare MSE and RMSE values

Mission Outline

1. Testing quality of predictions
2. Error Metrics
3. Mean Squared Error
4. Training another model
5. Root Mean Squared Error
6. Comparing MAE and RMSE
7. Next steps
8. Takeaways

machine-learning-fundamentals

Course Info:

Machine Learning Fundamentals

Beginner

The average completion time for this course is 10-hours.

This course requires a premium subscription. This course includes five paid missions and one guided project.  It is the 17th course in the Data Scientist in Python path.

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