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2026-10-20, Week 43
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ICACT20260013 Question.1
Questioner: yen1511hvnh@gmail.com    2026-02-09 오전 8:59:41
ICACT20260013 Answer.1
Answer by Auhor a.rahman@mst.edu   2026-02-09 오전 8:59:41
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What were the main considerations behind selecting classical models like Decision Tree, Logistic Regression, and Naïve Bayes—interpretability, limited data, or real-world deployment needs?
ICACT20260013 Question.2
Questioner: yennt@hvnh.edu.vn    2026-02-09 오전 9:03:39
ICACT20260013 Answer.2
Answer by Auhor a.rahman@mst.edu   2026-02-09 오전 9:03:39
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What were the main considerations behind selecting classical models like Decision Tree, Logistic Regression, and Naïve Bayes—interpretability, limited data, or real-world deployment needs?
ICACT20260013 Question.3
Questioner: hhl9438@chungbuk.ac.kr    2026-02-09 오전 11:00:48
ICACT20260013 Answer.3
Answer by Auhor a.rahman@mst.edu   2026-02-09 오전 11:00:48
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Using Age as a key feature for job recommendation is interesting, but could it potentially lead to age discrimination or bias in the hiring process?
ICACT20260013 Question.4
Questioner: ygt991129@mail.ustc.edu.cn    2026-02-09 오후 1:59:07
ICACT20260013 Answer.4
Answer by Auhor a.rahman@mst.edu   2026-02-09 오후 1:59:07
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How can decision tree algorithms be optimized to prevent overfitting and enhance generalization in high-dimensional job recommendation systems?
ICACT20260013 Question.5
Questioner: ygt991129@mail.ustc.edu.cn    2026-02-09 오후 1:59:25
ICACT20260013 Answer.5
Answer by Auhor a.rahman@mst.edu   2026-02-09 오후 1:59:25
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How can the proposed job recommendation system model be adapted to other developing countries job markets to validate its cross-cultural applicability?
ICACT20260013 Question.6
Questioner: arjunvirvashisht@gmail.com    2026-02-10 오전 12:47:52
ICACT20260013 Answer.6
Answer by Auhor a.rahman@mst.edu   2026-02-10 오전 12:47:52
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Was the job market dataset used in this study collected from a public source or a specific company?
ICACT20260013 Question.7
Questioner: hominpark@etri.re.kr    2026-02-10 오전 10:59:01
ICACT20260013 Answer.7
Answer by Auhor a.rahman@mst.edu   2026-02-10 오전 10:59:01
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You noted that accuracy dropped from 100% to 88% as features increased. Doesnt this initial 100% accuracy signal overfitting on the small dataset of 300 resumes, raising doubts about its validity in a real-world, large-scale hiring environment?
ICACT20260013 Question.8
Questioner: 41243102@gm.nfu.edu.tw    2026-02-11 오후 7:59:55
ICACT20260013 Answer.8
Answer by Auhor a.rahman@mst.edu   2026-02-11 오후 7:59:55
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How does the proposed job recommendation system improve matching accuracy compared to traditional keyword-based job search methods?
ICACT20260013 Question.9
Questioner: 41243102@gm.nfu.edu.tw    2026-02-11 오후 8:00:17
ICACT20260013 Answer.9
Answer by Auhor a.rahman@mst.edu   2026-02-11 오후 8:00:17
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Why did the decision tree model outperform other machine learning models such as logistic regression and Naive Bayes in this study?