Performance metrics

Accuracy

Accuracy is one metric for evaluating classification models:

• Read: Accuracy

Precision and recall

Learn about precision and recall:

• Read: Precision and Recall

Next, check your understanding by answering this questions about Accuracy, Precision and Recall)

Read the interactive article Attacking discrimination with smarter machine learning to get a better understanding of the relevance of thresholds in classification problems.

ROC and AUC

An ROC curve (receiver operating characteristic curve) is a graph showing the performance of a classification model at all classification thresholds.

• Read: ROC Curve and AUC

Check your understanding: ROC and AUC