---
license: mit
datasets:
- ShaqOneal/heart
language:
- en
metrics:
- accuracy
- precision
- f1
- recall
pipeline_tag: tabular-classification
library_name: sklearn
tags:
- random-forest
- machine-learning
- classification
- automl
- streamlit
- python
- scikit-learn
- student-project
- csv-model
- ensemble-learning
- desicion-trees
---
# 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