Radom Forest Model
This model was trained using Random Forest as part of the AI AutoML Platform.
Features
- Automatic preprocessing
- Missing value handling
- Label encoding
- Feature scaling
- Hyperparameter tuning
- Accuracy optimization
Model Type
Support Vector Machine (SVC)
Library
scikit-learn
Use Cases
- Customer churn prediction
- Medical diagnosis
- Binary classification
- Multi-class classification
Metrics
- Accuracy: XX%
- Precision: XX%
- Recall: XX%
- F1 Score: XX%
Developer
Created by Asma Abid
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