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IEEE/ICACT20220017 Question.4
Questioner: tomayoon@ieee.org    2022-02-14 ¿ÀÀü 10:11:04
IEEE/ICACT20220017 Answer.4
Answer by Auhor patrick.hosein@sta.uwi.edu   2022-02-14 ¿ÀÀü 10:11:04
First of all, thank you for the good research paper and presentation contents. I would like to know more about the research environment used in this study, and also in detail about the operating systems, development languages and software libraries you used. Thank you very much for your kind feedback. I used the software language R to conduct the research and analysis, on a Windows 10 laptop. The generateFilterValuesData function from the FSelectorRcpp package in R was used to compute a rank of the variables by assigning an importance value to each feature with the use of information gain. All missing numerical values were imputed using the KNN (k-nearest neighbours) method with the caret package in R. Model training was also done with the caret package. The expected cost to be optimized was evaluated using the makeCostMeasure function in the mlr package in R.

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