prec_rec_f1_response.json

{
  "overview": {
    "concept_group_names": [
      "category",
      "sleeve_length",
      "pattern"
    ],
    "metrics": {
      "prec_rec_f1": {
        "type": "table",
        "value": {
          "header": [
            "precision",
            "recall",
            "f1-score",
            "support"
          ],
          "data": [
            [
              0.66,
              1.0,
              0.75,
              222
            ],
            [
              1.0,
              1.0,
              0.75,
              222
            ]
          ],
          "summary": {
            "mean / total": [
              0.66,
              1.0,
              0.75,
              222
            ],
            "weighted mean / total": [
              0.66,
              1.0,
              0.75,
              222
            ]
          }
        }
      }
    }
  },
  "results": [
    {
      "concept_group_name": "sleeve_length",
      "concept_names": [
        "long",
        "medium",
        "short"
      ],
      "metrics": {
        "precision_recall_f1": {
          "type": "table",
          "condition": {
            "threshold": 0.5,
            "min_recall": 0.6
          },
          "table_value": {
            "header": [
              "precision",
              "recall",
              "f1-score",
              "support"
            ],
            "summary": {
              "mean / total": [
                0.66,
                1.0,
                0.75,
                88
              ],
              "weighted mean / total": [
                0.66,
                1.0,
                0.75,
                88
              ]
            },
            "data": [
              [
                0.66,
                1.0,
                0.75,
                88
              ],
              [
                0.66,
                1.0,
                0.75,
                88
              ]
            ]
          }
        }
      }
    }
  ]
}