Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- classification
+- structured-data-classification
+datasets:
+- vabadeh213/autotrain-data-iris
+co2_eq_emissions: 0.0006493037575021453
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 744122711
+- CO2 Emissions (in grams): 0.0006493037575021453
+
+## Validation Metrics
+
+- Loss: 0.09241962407466127
+- Accuracy: 0.9666666666666667
+- Macro F1: 0.9665831244778613
+- Micro F1: 0.9666666666666667
+- Weighted F1: 0.9665831244778613
+- Macro Precision: 0.9696969696969697
+- Micro Precision: 0.9666666666666667
+- Weighted Precision: 0.9696969696969696
+- Macro Recall: 0.9666666666666667
+- Micro Recall: 0.9666666666666667
+- Weighted Recall: 0.9666666666666667
+
+## Usage
+
+```python
+import json
+import joblib
+
+model = joblib.load('model.joblib')
+config = json.load(open('config.json'))
+
+features = config['features']
+
+# data = pd.read_csv("data.csv")
+data = data[features]
+
+predictions = model.predict(data)  # or model.predict_proba(data)
+
+```

config.json

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+{"features": ["sepal.length", "sepal.width", "petal.length", "petal.width"], "targets": ["target"], "model_type": "decision_tree", "target_mapping": {"Setosa": 0, "Versicolor": 1, "Virginica": 2}}

model.joblib

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