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 timeframe

• 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)

Learn more

Reviewing quality results

Parent topic: Quality metrics overview