FOSSPred

Machine-Learning Prediction of ASFI Projects

FOSSPred is a machine learning project aimed at predicting the Graduation & Retirement of Apache Software Foundation Incubator Projects. This repository accompanies the thesis "Predictive Insights: Machine Learning and FOSS Project Sustainability"

Developed with the software and tools below.

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🔗 Quick Links

• 📦 Features
• 📂 Repository Structure
• 🧩 Modules
• 🚀 Getting Started
  • ⚙️ Installation
  • ▶️ Running FOSSPred

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📦 Features

• Multiple ML-models for prediction

• Evaluation metrics for model performance

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📂 Repository Structure

└── fosspred/
    ├── README.md
    ├── __init__.py
    ├── the_data.csv
    ├── run.py
    ├── confusion_matrices.txt
    ├── model_results.csv
    ├── models/
    │   ├── decisiontree.py
    │   ├── gradientboosting.py
    │   ├── k-nearest.py
    │   ├── logreg.py
    │   ├── randomforest.py
    │   └── supportvector.py
    └──

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🧩 Modules

File	Summary
run.py	Main script to run the predictions and write results
confusion_matrices.txt	Stores confusion matrices of the models
model_results.csv	Logs the results of model evaluations
the_data.csv	Dataset used for training and predictions

models

File	Summary
decisiontree.py	Decision Tree algorithm
gradientboosting.py	Gradient Boosting algorithm
supportvector.py	Support Vector Machine algorithm
k-nearest.py	K-Nearest algorithm
logreg.py	Logistic Regression algorithm
randomforest.py	Random Forest algorithm

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🚀 Getting Started

Requirements

Ensure you have the following installed on your system:

• Python: at least version 3.11.0

⚙️ Installation

1. Clone the fosspred repository:

git clone https://github.com/m-kudahl/fosspred

2. Change to the project directory:

cd fosspred

3. Install the dependencies:

pip install pandas
pip install scikit-learn
pip install numpy

▶️ Running FOSSPred

Use the following command to run FOSSPred:

python run.py

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