Weighted False Positive Rate (wFPR)
The Weighted False Positive Rate (wFPR) gives the weighted mean of class False Positive Rate (FPR) with weights equal to class probability.
Weighted False Positive Rate (wFPR) at a glance
- Description: Proportion of incorrect predictions in positive class
- Default thresholds: Lower limit = 80%
- Default recommendation:
- Upward trend: An upward trend indicates that the metric is deteriorating. Feedback data is becoming significantly different than the training data.
- Downward trend: A downward trend indicates that the metric is improving. This means that model retraining is effective.
- 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: Multiclass classification
- Chart values: Last value in the time frame
- Metrics details available: Confusion matrix
Do the math
The Weighted False Positive Rate is the application of the FPR with weighted data.
number of false positives FPR = ______________________________________________________ (number of false positives + number of true negatives)