Machine learning model hyperparameters and their values.

<p>Machine learning model hyperparameters and their values.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ming-zhou Lv (21402593) (author)
مؤلفون آخرون:	Kun-lun Li (21402596) (author), Jia-zeng Cai (21402599) (author), Jun Mao (1504273) (author), Jia-jun Gao (2099023) (author), Hui Xu (9203) (author)
منشور في:	2025
الموضوعات:	Biotechnology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> landslides shapley additive explanation providing valuable insights optimum model accuracy nine slope characteristics 325 slope units 27 %, 5 posing significant risks hazardous geological disasters landslide susceptibility based assessing landslide susceptibility 12 %, 1 using data balancing landslide susceptibility 78 %, significant impact geological surveys balanced using landslide sensitivity landslide areas zhejiang province typically conducted township scale township level tomek sampling tomek ). taiping township study proposes risk management results indicate random forest minor impact machine learning lowsample sizes influencing factors human safety cut slopes comparative analysis algorithm achieves accurate assessments 723 ).
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