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README.md

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+---
+language: en
+license: mit
+tags:
+  - sklearn
+  - iris
+  - classification
+  - random-forest
+---
+
+# 🌸 Iris Flower Classifier
+
+A simple Random Forest classifier trained on the classic Iris dataset.
+
+## Model Details
+
+| Property       | Value                    |
+|----------------|--------------------------|
+| Algorithm      | Random Forest            |
+| n_estimators   | 100           |
+| Test Accuracy  | 0.9000           |
+| Train samples  | 120           |
+| Test samples   | 30            |
+
+## Classes
+
+The model predicts one of three Iris species:
+- `setosa`
+- `versicolor`
+- `virginica`
+
+## Usage
+
+```python
+import pickle, numpy as np
+
+with open("model.pkl",  "rb") as f: model  = pickle.load(f)
+with open("scaler.pkl", "rb") as f: scaler = pickle.load(f)
+
+# sepal length, sepal width, petal length, petal width  (all in cm)
+X = np.array([[5.1, 3.5, 1.4, 0.2]])
+X_scaled = scaler.transform(X)
+prediction = model.predict(X_scaled)
+print(prediction)   # e.g. [0]  →  setosa
+```
+
+## Per-class Metrics
+
+| Class       | Precision | Recall | F1-score |
+|-------------|-----------|--------|----------|
+| setosa      | 1.0000    | 1.0000 | 1.0000    |
+| versicolor  | 0.8182    | 0.9000 | 0.8571    |
+| virginica   | 0.8889    | 0.8000 | 0.8421    |

metrics.json

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+{
+  "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
+    }
+  }
+}

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cac5737a705ac8a2a6b932315b9016ff042c7ab01f2587b8aa9b6d2043f364ad
+size 158028

scaler.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:db51af1cc0506fb08ce30f8a10d82b225c5a370c9b59fed3233ef8392c154794
+size 512