Property Details
Ensemble estimate
₹76.50 L
Weighted average across all 5 models (by R²)
Model Predictions
Each model estimates the price independently using different techniques.
Linear Regression
R² 0.847Baseline OLS on area × locality rate
₹77.00 L
₹6417/sqft
Ridge Regression
R² 0.861L2-regularized, dampens large-area outliers
₹74.92 L
₹6244/sqft
Decision Tree
R² 0.823Piecewise rules on sqft & BHK ratio
₹74.40 L
₹6200/sqft
Random Forest
R² 0.891Ensemble of 5 perturbed regressors
₹75.99 L
₹6332/sqft
Gradient Boosting
R² 0.903Nonlinear boost on premium localities
₹79.94 L
₹6661/sqft
About the models
Predictions use coefficients derived from the Bengaluru House Price dataset. Locality per-sqft rates reflect dataset medians. Random Forest and Gradient Boosting typically lead accuracy; Linear and Ridge give interpretable baselines.