Home Ownership Classification with SVM

Tags: SVM | Classification | Python | Scikit-learn

Link: GitHub

🔍 Overview

Predicted home ownership status based on census variables using SVMs with different kernel functions.

❓ Key Questions

• What demographic traits influence home ownership?

• How do kernel types impact classification performance?

🧪 Methodology

• Built Linear, Radial, and Polynomial SVM models

• Tuned hyperparameters using grid search

📈 Results

• Best accuracy: 83.48% (Radial Kernel)

• Most influential features: bedrooms, age, household size