mirForest.quant
收藏DataCite Commons2021-06-20 更新2026-05-07 收录
下载链接：
https://data.worldagroforestry.org/file.xhtml?persistentId=doi:10.34725/DVN/YTJTZQ/WRHNOS
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资源简介：
Using forest regression machine learning models, excellent calibration functions could be established using the MIR spectra. Forest models for there DRIFT-MIR spectra were run using 1500 trees with 200 resampling events using k-fold cross validation over 25 iterations based on the R package randomForest (4.6–14). The best forest models were selected using root mean square error (RMSE) in the caret package (6.0–84) using the R language (3.6.0). Spectra are saved in this files in RDS format and they work with open-source code repositories.
提供机构：
World Agroforestry - Research Data Repository
创建时间：
2021-06-20
