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- csv-model
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- predictive-analysis
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- tabular-data
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---
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# Logistic Regression Model
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This model was trained using Logistic Regression as part of the AI AutoML Platform.
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## Features
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- Automatic preprocessing
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- Missing value handling
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- Label encoding
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- Feature scaling
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- Hyperparameter tuning
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- Accuracy optimization
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## Model Type
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Logistic Regression
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## Library
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scikit-learn
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## Use Cases
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- Customer churn prediction
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- Medical diagnosis
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- Binary classification
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- Multi-class classification
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## Metrics
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- Accuracy: XX%
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- Precision: XX%
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- Recall: XX%
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- F1 Score: XX%
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## Developer
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Created by Asma Abid
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