MISSION 22

Introduction to Evaluating Binary Classifiers

Learn how to evaluate a classification model.

Objectives

  • Learn the different ways of evaluating accuracy of a classification model.
  • Learn to understand model performace using sensitivity and specificity.

Mission Outline

1. Introduction to the Data
2. Accuracy
3. Binary classification outcomes
4. Binary classification outcomes
5. Sensitivity
6. Specificity
7. Next steps
8. Takeaways

machine-learning-intermediate

Course Info:

Machine Learning in Python: Intermediate

Intermediate

The median completion time for this course is 5.6 hours.

This course requires a premium subscription and includes 1 free mission and 5 paid missions, which includes 1 guided project.  It is the 21st course in the Data Scientist in Python path.

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