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2026-10-20, Week 43 |
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* Edit or answer any Q&A by selecting Q&A number Hyper Link below + Write button (Save)
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ICACT20260061 Question.1
Questioner: qga0809@chungbuk.ac.kr 2026-02-09 오후 1:02:03 |
ICACT20260061 Answer.1
Answer by Auhor nazhatulhafizah@ukm.edu.my 2026-02-09 오후 1:02:03
Chrome  Click!! |
| Your model uses Genetic Algorithm with Random Forest for feature selection, reducing features to 27. How did you determine the optimal number of features, and did you observe any trade-off between the number of selected features and detection accuracy? |
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ICACT20260061 Question.2
Questioner: 22-47850-2@student.aiub.edu 2026-02-09 오후 6:06:33 |
ICACT20260061 Answer.2
Answer by Auhor nazhatulhafizah@ukm.edu.my 2026-02-09 오후 6:06:33
Chrome Click!! |
| You used Random Forest (RF) as the base classifier for AdaBoost and Real AdaBoost. Why did you choose RF instead of a simpler Decision Stump which is the traditional default for boosting? |
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ICACT20260061 Question.3
Questioner: arjunvirvashisht@gmail.com 2026-02-10 오전 3:38:38 |
ICACT20260061 Answer.3
Answer by Auhor nazhatulhafizah@ukm.edu.my 2026-02-10 오전 3:38:38
Chrome Click!! |
| Do you plan to test this feature selection approach on deep learning models like CNNs in the future? |
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