Prediction of the Costs of Forwarding Contracts with Machine Learning Methods

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 i...

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Bibliographic Details
Published in2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS) Vol. 30; pp. 413 - 416
Main Author Kazmierczak, Stanislaw
Format Conference Proceeding Journal Article
LanguageEnglish
Published Polish Information Processing Society 01.01.2022
Subjects
Buildings
Computer science
Costs
Data preprocessing
forwarding contracts
Machine learning
Predictive models
Task analysis
Online AccessGet full text
ISSN2300-5963
DOI10.15439/2022F298

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Summary: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.
ISSN:2300-5963
DOI:10.15439/2022F298