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Browse files- README.md +22 -0
- metadata.json +7 -0
- model.json +0 -0
README.md
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---
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tags:
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- xgboost
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- binary-classification
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- tabular
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library_name: xgboost
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---
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# XGBoost Binary Classifier
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Trained XGBoost model for binary classification on synthetic data.
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## Model Details
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- **Features:** 20
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- **Accuracy:** 0.8900
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- **Framework:** XGBoost
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- **Format:** JSON
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## Usage
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import xgboost as xgb
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model = xgb.Booster()
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model.load_model("model.json")
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metadata.json
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{
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"model_type": "xgboost",
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"task": "binary_classification",
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"num_features": 20,
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"accuracy": 0.89,
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"framework": "xgboost"
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}
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model.json
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