This regression project predicts house prices using multiple features including location, size, number of bedrooms, bathrooms, and amenities. The ensemble approach combining XGBoost and Random Forest achieves an R² score of 0.89.
Model Accuracy
89%
Model Type
XGBoost & Random Forest
Category
Machine Learning
Tech Stack
5 Tools
R² Score
89
RMSE
45000
MAE
35000
MAPE
12