eprintid: 16772
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/67/72
datestamp: 2023-12-19 03:23:17
lastmod: 2023-12-19 03:23:17
status_changed: 2023-12-19 03:06:52
type: article
metadata_visibility: show
creators_name: Baharun, N.
creators_name: Razi, N.F.M.
creators_name: Masrom, S.
creators_name: Yusri, N.A.M.
creators_name: Rahman, A.S.A.
title: Auto Modellingfor Machine Learning: A Comparison Implementation between Rapid Miner and Python
ispublished: pub
note: cited By 5
abstract: 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
date: 2022
publisher: IJETAE Publication House
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130099158&doi=10.46338%2fijetae0522_03&partnerID=40&md5=e5a7abe963875b633f64fd41d7df5739
id_number: 10.46338/ijetae0522₀₃
full_text_status: none
publication: International Journal of Emerging Technology and Advanced Engineering
volume: 12
number: 5
pagerange: 15-27
refereed: TRUE
issn: 22502459
citation:   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.  ISSN 22502459