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Author/Affiliation: Der-Jiun PangHybrid Machine Learning Model Performance in IT Project Cost and Duration Prediction
Advances in Science, Technology and Engineering Systems Journal,
Volume 8,
Issue 2,
Page # 108–115,
2023;
DOI: 10.25046/aj080212
Abstract:
Traditional project planning in effort and duration estimation techniques remain low to medium accurate. This study seeks to develop a highly reliable and efficient hybrid Machine Learning model that can improve cost and duration prediction accuracy. This experiment compared the performance of five machine learning models across three different datasets and six performance indicators. Then…
Read More(This article belongs to the SP14 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2022-23) & Section Interdisciplinary Applications of Computer Science (CSI))
