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3. Bagged Trees Results: Using landslide-inventory mapping for a combined bagged-trees and logistic-regression approach to determining landslide susceptibility in eastern Kentucky, United States

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DataCite Commons2021-04-23 更新2024-07-28 收录
下载链接:
https://geolsoc.figshare.com/articles/dataset/3_Bagged_Trees_Results_Using_landslide-inventory_mapping_for_a_combined_bagged-trees_and_logistic-regression_approach_to_determining_landslide_susceptibility_in_eastern_Kentucky_United_States/14473493/1
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资源简介:
The statistical data used in the combined machine-learning functions are available here as csv files. This includes all geomorphic data at the determined radial buffer size (36 variables), the results of the bagged trees function (12 variables), and the bagged trees resulting feature importance data.

本组合机器学习函数所使用的统计数据,以逗号分隔值(Comma-Separated Values,CSV)文件格式在此公开提供。该数据集涵盖经确定的径向缓冲区尺寸下的全部地貌数据(共36个变量)、装袋树(Bagged Trees)函数的运行结果(共12个变量),以及装袋树模型生成的特征重要性数据。
提供机构:
Geological Society of London
创建时间:
2021-04-23
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