F1-measure in Watson OpenScale quality metrics

Last updated: Jun 15, 2023

The F1-measure gives the harmonic mean of precision and recall in Watson OpenScale.

F1-measure at a glance

Description: Harmonic mean of precision and recall
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

The F1-measure is the weighted harmonic average or mean of precision and recall.

          (precision * recall)
F1 = 2 *  ____________________

          (precision + recall)

Parent topic: Quality metrics overview