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Highrise Report by Carla Farah is a document available to read on EtoBox.

What is Highrise Report about?

This report details the development and comparison of four machine learning pipelines to predict total construction costs for high-rise building projects in Egypt, using a dataset of 50 completed projects. The best model, Pipeline 4, incorporates polynomial features, log-transformation, and categorical encodings, achieving an R² of 0.997 and an RMSE of 2.62 EGP M on a hold-out test set. Key insights include the significant impact of categorical features and the labor cost ratio on prediction accuracy, thoug

Author

Carla Farah

Language

EN