metadata
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