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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
Do the math
The F1-measure is the weighted harmonic average or mean of precision and recall.
(precision * recall) F1 = 2 * ____________________ (precision + recall)
Learn more
Parent topic: Quality metrics overview
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