Scholarlink

<p>In addition to the need to increase the accuracy of models, there is a lack of consensus among researchers about considering factors of external economic in duration prediction models. First, the categorical boosting (CatBoost-2018) model in the first-level was created aiming to find the optimal combination of inputs with the best results for the duration. In continuation, only the second-level model i.e. Stacking-CatBoost2 model was created aiming to noticeably increase the estimation accuracy of two models of the first-level including the artificial neural network (ANN) single model and CatBoost1. The final stacking results also have shown the superiority of that model over three other study models according to the K-fold method (used for validation and verification). Then, the results of sensitivity analysis (SA) using the error deterioration measurement method have shown the negative impact of an economic input and the significant positive impact of a unique input to the project and three external economic factors. </p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Assessing impacts of economic and municipality factors on building construction duration using ensemble categorical boosting

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月25日

查看全文
  • Farshad Peiman,
  • Mohammad Khalilzadeh,
  • Nasser Shahsavari-Pour,
  • Mehdi Ravanshadnia

摘要

In addition to the need to increase the accuracy of models, there is a lack of consensus among researchers about considering factors of external economic in duration prediction models. First, the categorical boosting (CatBoost-2018) model in the first-level was created aiming to find the optimal combination of inputs with the best results for the duration. In continuation, only the second-level model i.e. Stacking-CatBoost2 model was created aiming to noticeably increase the estimation accuracy of two models of the first-level including the artificial neural network (ANN) single model and CatBoost1. The final stacking results also have shown the superiority of that model over three other study models according to the K-fold method (used for validation and verification). Then, the results of sensitivity analysis (SA) using the error deterioration measurement method have shown the negative impact of an economic input and the significant positive impact of a unique input to the project and three external economic factors.