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)

Parent topic: Quality metrics overview