Summary of variable importance in conditional inference random forest models.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Summary_of_variable_importance_in_conditional_inference_random_forest_models_/208546
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资源简介：
Only the top 15 variables (out of 270 total potential predictors) are shown. Variables are ordered by the mean rank (from node purity) computed by the random forest algorithm; the third column gives number of models across which this mean was computed.
创建时间：
2015-12-02
