DC-777/ML-construction-cost-prediction

In this work, we compared the predictive capabilities of six different machine learning algorithms - linear regression, random forest, extreme gradient boosting, light gradient boosting, and natural gradient boosting - and demonstrated that a hybrid light gradient boosting and natural gradient boosting model provides the most desirable construction cost estimates in terms of the accuracy metrics, uncertainty estimates, and training speed.

语言：Jupyter Notebook · GitHub 星标：19 · Fork：8

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