metric_summary_multiclass.json

{
  "concept_group": "root",
  "concepts": [
    "root||appliances",
    "root||automotive",
    "root||baby_products",
    "root||bag",
    "root||book",
    "root||clothing",
    "root||electronics",
    "root||fashion_accessories",
    "root||food_and_beverage",
    "root||food_and_beverage__unpackaged_food",
    "root||furniture",
    "root||glasses",
    "root||health_beauty_household",
    "root||home_decor",
    "root||jewellery",
    "root||kitchen_and_dining",
    "root||shoe",
    "root||sports_and_fitness",
    "root||stationery",
    "root||toy",
    "root||watch"
  ],
  "metrics": {
    "concepts": {
      "TP": [...],
      "FP": [...],
      "FN": [...],
      "support": [
        4143,
        552,
        677,
        839,
        331,
        4305,
        7013,
        850,
        1724,
        0,
        1300,
        456,
        2169,
        879,
        1111,
        8159,
        2180,
        4596,
        2680,
        922,
        228
      ],
      "recall": [
        0.8071,
        0.7065,
        0.7253,
        0.9082,
        0.7492,
        0.8985,
        0.9009,
        0.6894,
        0.3521,
        0,
        0.8762,
        0.9846,
        0.7948,
        0.6644,
        0.757,
        0.7445,
        0.9706,
        0.7365,
        0.6201,
        0.897,
        0.8202
      ],
      "f1-score": [
        0.8016,
        0.7345,
        0.7818,
        0.7398,
        0.8105,
        0.9247,
        0.8396,
        0.6882,
        0.5065,
        0,
        0.7543,
        0.9025,
        0.7317,
        0.4075,
        0.7203,
        0.8022,
        0.8713,
        0.8239,
        0.7054,
        0.8045,
        0.8026
      ],
      "precision": [
        0.7962,
        0.7647,
        0.848,
        0.6241,
        0.8826,
        0.9525,
        0.7861,
        0.687,
        0.9019,
        0,
        0.6622,
        0.833,
        0.6779,
        0.2939,
        0.6871,
        0.8697,
        0.7904,
        0.9348,
        0.8179,
        0.7293,
        0.7857
      ],
      "accuracy": [...]
    },
    "summary": {
      "TP": 10000,
      "FP": 100,
      "FN": 100,
      "support": 45114,
      "recall": 0.7892,
      "precision": 0.8147,
      "f1-score": 0.7904,
      "accuracy": 0.7892,
      "weighted_recall": 0.7892,
      "weighted_precision": 0.8147,
      "weighted_f1-score": 0.7904,
      "weighted_accuracy": 0.7892
    }
  }
}