| --- |
| license: mit |
| datasets: |
| - ShaqOneal/heart |
| language: |
| - en |
| metrics: |
| - accuracy |
| - f1 |
| pipeline_tag: tabular-regression |
| library_name: sklearn |
| tags: |
| - linear-regression |
| - regression |
| - machine-learning |
| - auto-ml |
| - streamlit |
| - python |
| - scikit-learn |
| - student-project |
| - csv-model |
| - predictive-analysis |
| - tabular-data |
| --- |
| # Logistic Regression Model |
|
|
| This model was trained using Logistic Regression as part of the AI AutoML Platform. |
|
|
| ## Features |
| - Automatic preprocessing |
| - Missing value handling |
| - Label encoding |
| - Feature scaling |
| - Hyperparameter tuning |
| - Accuracy optimization |
|
|
| ## Model Type |
| Logistic Regression |
|
|
| ## 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 |
