Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python
Recently, business intelligence is creating many changes and challenges to the business models of many industries globally. While a bigger impact has been reported on business intelligence models, there has been very little effort that investigates the deployment of business intelligence models base...
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IJETAE Publication House
2022
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my.utp.eprints.331022022-06-13T02:29:19Z Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python Baharun, N. Razi, N.F.M. Masrom, S. Yusri, N.A.M. Rahman, A.S.A. Recently, business intelligence is creating many changes and challenges to the business models of many industries globally. While a bigger impact has been reported on business intelligence models, there has been very little effort that investigates the deployment of business intelligence models based on auto modelling approaches of machine learning. Design and implement a machine learning business intelligence model involved a series of hassle tasks and was mostly time-consuming for an inexpert data scientist. Therefore, this paper presents different approaches to auto modelling machine learning provided by RapidMiner and Python machine learning software tools. To compare the results of modelling from the different approaches, the Airbnb hospitality dataset has been used as a case study for predicting the hospitality prices. The results show that Random Forest Regressors have been very promising to produce a high percentage of accuracy score with all the auto modelling machine learning. © 2022 Baishideng Publishing Group Inc IJETAE Publication House 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130099158&doi=10.46338%2fijetae0522_03&partnerID=40&md5=e5a7abe963875b633f64fd41d7df5739 Baharun, N. and Razi, N.F.M. and Masrom, S. and Yusri, N.A.M. and Rahman, A.S.A. (2022) Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python. International Journal of Emerging Technology and Advanced Engineering, 12 (5). pp. 15-27. http://eprints.utp.edu.my/33102/ |
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Recently, business intelligence is creating many changes and challenges to the business models of many industries globally. While a bigger impact has been reported on business intelligence models, there has been very little effort that investigates the deployment of business intelligence models based on auto modelling approaches of machine learning. Design and implement a machine learning business intelligence model involved a series of hassle tasks and was mostly time-consuming for an inexpert data scientist. Therefore, this paper presents different approaches to auto modelling machine learning provided by RapidMiner and Python machine learning software tools. To compare the results of modelling from the different approaches, the Airbnb hospitality dataset has been used as a case study for predicting the hospitality prices. The results show that Random Forest Regressors have been very promising to produce a high percentage of accuracy score with all the auto modelling machine learning. © 2022 Baishideng Publishing Group Inc |
| format |
Article |
| author |
Baharun, N. Razi, N.F.M. Masrom, S. Yusri, N.A.M. Rahman, A.S.A. |
| spellingShingle |
Baharun, N. Razi, N.F.M. Masrom, S. Yusri, N.A.M. Rahman, A.S.A. Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python |
| author_facet |
Baharun, N. Razi, N.F.M. Masrom, S. Yusri, N.A.M. Rahman, A.S.A. |
| author_sort |
Baharun, N. |
| title |
Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python |
| title_short |
Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python |
| title_full |
Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python |
| title_fullStr |
Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python |
| title_full_unstemmed |
Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python |
| title_sort |
auto modellingfor machine learning: a comparison implementation between rapid miner and python |
| publisher |
IJETAE Publication House |
| publishDate |
2022 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130099158&doi=10.46338%2fijetae0522_03&partnerID=40&md5=e5a7abe963875b633f64fd41d7df5739 http://eprints.utp.edu.my/33102/ |
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