Selection of initial designs for multi-objective optimization using classification and regression tree

2013 ◽  
Vol 48 (6) ◽  
pp. 1057-1073 ◽  
Author(s):  
Lei Shi ◽  
Yan Fu ◽  
Ren-Jye Yang ◽  
Bo-Ping Wang ◽  
Ping Zhu
Keyword(s):  
Regression Tree ◽  
Classification And Regression Tree ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Classification And Regression ◽  
Selection Of

scholarly journals A Prediction Model of Casualties Based on Machine Learning for Selection of Fire Scenario

2021 ◽  
Vol 21 (5) ◽  
pp. 165-173
Author(s):  
Donggoo Seo ◽  
Byunghun Park ◽  
Younghyun Lee ◽  
Wonhee Lee ◽  
Jungjae Kim ◽  
...  
Keyword(s):  
Regression Tree ◽  
Fire Risk ◽  
Classification And Regression Tree ◽  
Risk Assessments ◽  
Fire Prevention ◽  
Fire Growth ◽  
Fire Statistics ◽  
Classification And Regression ◽  
Cart Model ◽  
Selection Of

This study has developed a model that predicts casualties (dead and injured people) using the Classification And Regression Tree (CART). Based on the fire statistics collected over a decade, this model aims to select the appropriate risk-assessment scenarios and fire prevention and safety methods applicable on individual buildings. Our evaluation indicates that this CART model can accurately predict 48 scenarios based on 5 variables related to the types of fire, fire growth rates, and evacuation situations, and calculate the corresponding probabilities for each occurrence. This model is expected to improve future quantitative fire risk assessments.

Classification and regression tree-based prediction of 6-mercaptopurine-induced leucopenia grades in children with acute lymphoblastic leukemia

2019 ◽  
Vol 83 (5) ◽  
pp. 875-880 ◽  
Author(s):  
Shaik Mohammad Naushad ◽  
Patchava Dorababu ◽  
Yedluri Rupasree ◽  
Addepalli Pavani ◽  
Digumarti Raghunadharao ◽  
...  
Keyword(s):  
Acute Lymphoblastic Leukemia ◽  
Lymphoblastic Leukemia ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Classification And Regression
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