True positive rate (TPR)

The True positive rate (TPR) gives the proportion of correct predictions in predictions of positive class.

True positive rate (TPR) at a glance

  • Description: Proportion of correct predictions in predictions of 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 time frame
  • Metrics details available: Confusion matrix

Do the math

The True positive rate is calculated by the following formula:

                  number of true positives
TPR =  _________________________________________________________

        (number of true positives + number of false negatives)