Instructions:
• Select which housing features to include in the model using the checkboxes
• The model automatically trains when you change feature selection
• Compare the actual vs predicted prices in the plot below
• Try different feature combinations to see how they affect performance

Model: $\text{Price}={\beta }_0+{\beta }_1\times \text{Area}+{\beta }_2\times \text{Bedrooms}+{\beta }_3\times \text{Bathrooms}+{\beta }_4\times \text{Stories}$
Dataset: 525 training samples, 20 test samples (housing prices normalized for interpretable metrics)