Machine learning model for predicting the France vs Morocco FIFA World Cup 2026 match using historical international football match data.
# France-vs-Morocco-World-Cup-2026-prediction
Machine learning model for predicting the France vs Morocco FIFA World Cup 2026 match using historical international football match data.
# ⚽ International Football Match Prediction Using Machine Learning
A machine learning project that predicts the outcomes of international football matches using historical match data. This project uses the **martj42/international_results** dataset to train and evaluate classification models capable of predicting match outcomes, with a case study on the **France vs Morocco FIFA World Cup 2026** match.
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## 📌 Project Overview
Predicting football match outcomes is a challenging task due to the many factors that influence the game. This project leverages historical international football data and machine learning techniques to classify the result of a match as:
- 🏆 Home Win
- 🤝 Draw
- 🏆 Away Win
The project demonstrates an end-to-end machine learning workflow including data preprocessing, feature engineering, model training, evaluation, and prediction.
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## 🎯 Objectives
- Predict international football match outcomes using historical data.
- Compare multiple machine learning classification algorithms.
- Evaluate model performance using standard classification metrics.
- Predict the FIFA World Cup 2026 match between France and Morocco.
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## 📂 Dataset
This project uses the **International Football Results** dataset maintained by **martj42**.
**Dataset Repository:**
github.com
The dataset contains international football matches played since 1872.