# Recall in Watson OpenScale quality metrics

Recall gives the proportion of correct predictions for positive classes in Watson OpenScale.

## Recall at a glance

**Description**: Proportion of correct predictions in positive class**Default thresholds**: Lower limit = 80%**Default recommendation**:**Upward trend**: An upward trend indicates that the metric is improving. This means that model retraining is effective.**Downward trend**: A downward trend indicates that the metric is deteriorating. Feedback data is becoming significantly different than the training data.**Erratic or irregular variation**: An erratic or irregular variation indicates that the feedback data is not consistent between evaluations. Increase the minimum sample size for the Quality monitor.

**Problem type**: Binary classification**Chart values**: Last value in the timeframe**Metrics details available**: Confusion matrix

## Do the math

Recall (R) is defined as the number of true positives (Tp) over the number of true positives plus the number of false negatives (Fn).

```
number of true positives
Recall = ______________________________________________________
(number of true positives + number of false negatives)
```

## Learn more

**Parent topic:** Quality metrics overview