Created: 2022-11-02 20:11:09 Tags: #ML #DataScience #classification_metric #ml_metrics
For understanding recall score you need to read Confusion Matrix note firstly.
# Note
Recall uses to evaluate classification machine learning algorithm. It has more stability with imbalanced data then Accuracy score.
# Definition
- Recall is the fraction of relevant instances that were retrieved. In other words how many relevant itemswere retrieved?. $$Recall=\frac{TP}{TP + FN}$$
# Probabilistic interpretation
- Recall is the estimated probability that a document randomly selected from the pool of relevant documents is retrieved.
Relevant element (document) is the element (document) has a positive class label.
# Advantages
- Good works with imbalanced data
- Easy interpretable