args:
- description: A list of labels of the test set.
  isArray: true
  name: yTrue
  required: true
- description: A list of dictionaries contain probability predictions for all classes.
  isArray: true
  name: yPred
  required: true
- defaultValue: '0.5'
  description: minimum precision of all classes, ranges 0-1.
  name: targetPrecision
- defaultValue: '0.0'
  description: minimum recall of all classes, ranges 0-1.
  isArray: true
  name: targetRecall
- defaultValue: 'true'
  description: if set to 'true', the output will include a full explanation of the confidence threshold meaning.
  isArray: true
  name: detailedOutput
  predefined:
  - 'true'
  - 'false'
comment: Finds a threshold for ML model, and performs an evaluation based on it.
commonfields:
  id: GetMLModelEvaluation
  version: -1
enabled: true
name: GetMLModelEvaluation
outputs:
- contextPath: GetMLModelEvaluation.Threshold
  description: The found thresholds which meets the conditions of precision and recall.
  type: String
- contextPath: GetMLModelEvaluation.ConfusionMatrixAtThreshold
  description: The model evaluation confusion matrix for mails above the threshold.
  type: Unknown
- contextPath: GetMLModelEvaluation.Metrics
  description: Metrics per each class (includes precision, true positive, coverage, etc.)
  type: Unknown
script: '-'
subtype: python3
tags:
- ml
timeout: 60µs
type: python
dockerimage: demisto/ml:1.0.0.12042988
tests:
- Create Phishing Classifier V2 ML Test
fromversion: 5.0.0
runas: DBotWeakRole