XGBoost Design and Configuration with Hyperparameter Tuning.

XGBoost Design and Configuration with Hyperparameter Tuning.

<p>XGBoost Design and Configuration with Hyperparameter Tuning.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Rume Elizabeth Yoro (21608534) (author)
مؤلفون آخرون: Margaret Dumebi Okpor (21608537) (author), Maureen Ifeanyi Akazue (21608540) (author), Ejaita Abugor Okpako (21608543) (author), Andrew Okonji Eboka (21608546) (author), Patrick Ogholuwarami Ejeh (21608549) (author), Arnold Adimabua Ojugo (21608552) (author), Chris Chukwufunaya Odiakaose (21608555) (author), Amaka Patience Binitie (21608558) (author), Rita Erhovwo Ako (21608561) (author), Victor Ochuko Geteloma (21608564) (author), Paul Avwerosuo Onoma (21608567) (author), Asuobite ThankGod Max-Egba (21608570) (author), Ayei Egu Ibor (21608573) (author), Sunny Innocent Onyemenem (21608576) (author), Elochukwu Ukwandu (21608579) (author)
منشور في: 2025
الموضوعات:
Sociology
Science Policy
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
vanishing gradient problem
use deep learning
transfer learning scheme
proposed ensemble demonstrates
prevent resource exploits
often degraded due
machine learning approach
intrusion detection systems
exploit unsuspecting users
effectively classify 314
aid effective identification
using advanced tools
ensemble yields accuracy
compromise network resources
traditional ml performance
learner </ p
yields solution
network security
inspired tools
xlink ">
xgboost meta
simplistic design
service disruption
security experts
schemes based
recurrent networks
random forest
penetrative techniques
monetization efficacy
local maxima
enhanced productivity
defined sip
defensive measures
constant evolution
competitive marketing
climbing mode
boosted meta
also evolve
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