tina-muriu / ml-featureimportance-randomforest

ML-FeatureImportance-RandomForest

This repository contains code that demonstrates the usage of the RandomForestClassifier algorithm for feature importance analysis.

Installation

To run the code in this repository, you need to have Python 3 installed. Additionally, the following Python libraries are required:

• scikit-learn
• matplotlib
• numpy

You can install the required libraries using pip:

pip install scikit-learn matplotlib numpy

Usage

1. Clone the repository:

git clone https://github.com/your-username/RandomForestClassifier-FeatureImportance.git

2. Navigate to the repository directory:

cd RandomForestClassifier-FeatureImportance

3. Run the Python script:

python feature_importance.py

4. The script will output the feature importance values and generate a bar plot showing the importance of each feature.

Contributing

Contributions to this repository are welcome. If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or inquiries, please contact [email protected]

Enjoy exploring feature importance with RandomForestClassifier!