metrics.json

{
  "accuracy": 0.9,
  "n_estimators": 100,
  "test_size": 0.2,
  "train_samples": 120,
  "test_samples": 30,
  "class_names": [
    "setosa",
    "versicolor",
    "virginica"
  ],
  "per_class": {
    "setosa": {
      "precision": 1.0,
      "recall": 1.0,
      "f1-score": 1.0,
      "support": 10.0
    },
    "versicolor": {
      "precision": 0.8182,
      "recall": 0.9,
      "f1-score": 0.8571,
      "support": 10.0
    },
    "virginica": {
      "precision": 0.8889,
      "recall": 0.8,
      "f1-score": 0.8421,
      "support": 10.0
    }
  }
}