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  "Title": "Weighted Subspace Random Forest for Classification",
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  "Date": "2026-02-21",
  "Authors@R": "c(person(given = \"Qinghan\",\nfamily = \"Meng\",\nemail = \"qinghan.meng@gmail.com\",\nrole=\"aut\"),\nperson(given = \"He\",\nfamily = \"Zhao\",\nemail = \"Simon.Yansen.Zhao@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-5763-9743\")),\nperson(given = c(\"Graham\", \"J.\"),\nfamily = \"Williams\",\nemail = \"graham.williams@togaware.com\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0001-7041-4127\")),\nperson(given = \"Junchao\",\nfamily = \"Lv\",\nemail = \"ljc0711@gmail.com\",\nrole = \"aut\"),\nperson(given = \"Baoxun\",\nfamily = \"Xu\",\nemail = \"76276198@qq.com\",\nrole = \"aut\"),\nperson(given = c(\"Joshua\", \"Zhexue\"),\nfamily = \"Huang\",\nemail = \"zx.huang@szu.edu.cn\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-6797-2571\")))",
  "Description": "A parallel implementation of Weighted Subspace Random\nForest.  The Weighted Subspace Random Forest algorithm was\nproposed in the International Journal of Data Warehousing and\nMining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams,\nQiang Wang, and Yunming Ye (2012)\n<DOI:10.4018/jdwm.2012040103>.  The algorithm can classify very\nhigh-dimensional data with random forests built using small\nsubspaces.  A novel variable weighting method is used for\nvariable subspace selection in place of the traditional random\nvariable sampling.This new approach is particularly useful in\nbuilding models from high-dimensional data.",
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  "Classification/ACM-2012": "Computing methodologies ~ Classification and\nregression trees, Computing methodologies ~ Supervised learning\nby classification, Computing methodologies ~ Massively parallel\nand high-performance simulations, Computing methodologies ~\nDistributed simulation",
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        "correlation.wsrf"
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        "importance.wsrf"
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        "oob.error.rate.wsrf"
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      "title": "Build a Forest of Weighted Subspace Decision Trees",
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