Prediction of the Costs of Forwarding Contracts with Machine Learning Methods

被引：2
|
作者：
Kazmierczak, Stanislaw [1 ]
机构：
[1] Warsaw Univ Technol, Fac Math & Informat Sci, Warsaw, Poland
来源：
PROCEEDINGS OF THE 2022 17TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS) | 2022年
关键词：
forwarding contracts; data preprocessing; machine learning;
D O I：
10.15439/2022F298
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper summarizes experiments conducted and findings related to FedCSIS 2022 Challenge that we participated in. The task was to develop a predictive model that estimated costs pertained to the execution of forwarding contracts (FC). We thoroughly analyze the dataset and present steps performed in the data preprocessing stage. Then we describe our approach to building a predictive model, which placed us eighth out of 135 teams. In the end, a wide range of ideas for further research is provided.
引用
收藏
页码：413 / 416
页数：4
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