:GWRF/RF,

Yoshiyasu Takefuji1

  • 1Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo, 135-8181, Japan.

概括

青等人. 其他 (2025) 用地理加权随机森林 (GWRF) 和随机森林 (RF) 绘制了土壤重金属的地图,提高了准确性. 他们确定了关键预测因素,但注意到特征重要性验证的局限性,并建议进行排名稳定性审计,以获得可靠的解释.

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