{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/amazon-comprehend/refs/heads/main/json-schema/openapi.yml-entity-recognizer-evaluation-metrics-schema.json",
  "title": "EntityRecognizerEvaluationMetrics",
  "description": "Detailed information about the accuracy of an entity recognizer. ",
  "type": "object",
  "properties": {
    "Precision": {
      "allOf": [
        {
          "$ref": "#/components/schemas/Double"
        },
        {
          "description": "A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones. "
        }
      ]
    },
    "Recall": {
      "allOf": [
        {
          "$ref": "#/components/schemas/Double"
        },
        {
          "description": "A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results."
        }
      ]
    },
    "F1Score": {
      "allOf": [
        {
          "$ref": "#/components/schemas/Double"
        },
        {
          "description": "A measure of how accurate the recognizer results are for the test data. It is derived from the <code>Precision</code> and <code>Recall</code> values. The <code>F1Score</code> is the harmonic average of the two scores. For plain text entity recognizer models, the range is 0 to 100, where 100 is the best score. For PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the best score. "
        }
      ]
    }
  }
}