Assignment 3 - Cross-Validation and Grid Search

This repository contains the third assignment for the Artificial Intelligence 1 course during my Business Analytics master's program.

📊 Objective

• Generate a synthetic dataset using a spiral pattern (make_spirals).
• Split the data into training and testing sets.
• Implement 5-fold stratified cross-validation to assess model performance.
• Perform grid search for hyperparameter tuning (gamma parameter in SVM).
• Visualize model decision boundaries and performance metrics.

📁 Contents

• A3_Grid Search.ipynb: Jupyter Notebook with the complete workflow for cross-validation and grid search.

⚙️ Technologies

• Python
• scikit-learn
• pandas
• matplotlib
• plotly

🚀 How to Run

Open A3_Grid Search.ipynb in Jupyter Notebook or VSCode and execute the cells in order.