metrics.json

{
  "accuracy": 0.9,
  "classification_report": {
    "setosa": {
      "precision": 1.0,
      "recall": 1.0,
      "f1-score": 1.0,
      "support": 10.0
    },
    "versicolor": {
      "precision": 0.8181818181818182,
      "recall": 0.9,
      "f1-score": 0.8571428571428571,
      "support": 10.0
    },
    "virginica": {
      "precision": 0.8888888888888888,
      "recall": 0.8,
      "f1-score": 0.8421052631578947,
      "support": 10.0
    },
    "accuracy": 0.9,
    "macro avg": {
      "precision": 0.9023569023569024,
      "recall": 0.9,
      "f1-score": 0.899749373433584,
      "support": 30.0
    },
    "weighted avg": {
      "precision": 0.9023569023569024,
      "recall": 0.9,
      "f1-score": 0.8997493734335839,
      "support": 30.0
    }
  },
  "parameters": {
    "n_estimators": 100,
    "test_size": 0.2,
    "random_state": 42
  },
  "timestamp": "2026-02-04T14:29:32.464592"
}