9. Evaluating a classification model
- What is the purpose of model evaluation, and what are some common evaluation procedures?
- What is the usage of classification accuracy, and what are its limitations?
- How does a confusion matrix describe the performance of a classifier?
- What metrics can be computed from a confusion matrix?
- How can you adjust classifier performance by changing the classification threshold?
- What is the purpose of an ROC curve?
- How does Area Under the Curve (AUC) differ from classification accuracy?
2 Lessons