Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- classification
+- tabular-classification
+datasets:
+- jrosenzw/autotrain-data-diabetes-detection
+co2_eq_emissions:
+  emissions: 0.8803900471704509
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Binary Classification
+- Model ID: 74053139456
+- CO2 Emissions (in grams): 0.8804
+
+## Validation Metrics
+
+- Loss: 0.473
+- Accuracy: 0.760
+- Precision: 0.667
+- Recall: 0.630
+- AUC: 0.835
+- F1: 0.648
+
+## Usage
+
+```python
+import json
+import joblib
+import pandas as pd
+
+model = joblib.load('model.joblib')
+config = json.load(open('config.json'))
+
+features = config['features']
+
+# data = pd.read_csv("data.csv")
+data = data[features]
+data.columns = ["feat_" + str(col) for col in data.columns]
+
+predictions = model.predict(data)  # or model.predict_proba(data)
+
+```

config.json

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+{"features": ["Pregnancies", "Glucose", "BloodPressure", "SkinThickness", "Insulin", "BMI", "DiabetesPedigreeFunction", "Age"], "targets": ["target"], "model_type": "xgboost", "target_mapping": {"0": 0, "1": 1}}

model.joblib

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