| Status | Location | Beds/Baths | Actual | Predicted | Discount | Score | Features | Link |
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| Type | Location | Beds/Baths | Actual | Predicted | Difference | Score | Link |
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Data is collected from publicly available sources and structured inputs using automated extraction and ingestion processes. The dataset represents snapshots captured at specific points in time and may not reflect the most current state of listings or prices.
The data may contain inaccuracies, missing fields, duplicates, or outdated information originating from source material or automated parsing. Coverage may be uneven across regions, time periods, or listing types. The system does not guarantee correctness, completeness, or timeliness.
Raw data is cleaned, normalized, and transformed prior to modeling. This includes deduplication, handling missing or inconsistent values, and deriving structured features used for analysis. Some information may be simplified or discarded during processing.
Predictions are generated using a weighted ensemble of supervised regression models: Ridge Regression, Random Forest Regression, and Gradient Boosting Regression.
Predictions are intended to support analysis and exploration, not to replace human judgment. Outputs represent probabilistic estimates based on historical patterns and should be interpreted as indicative rather than guaranteed. Do not rely on predictions as the sole basis for high-risk decisions.