variable importance(English)
- quantifies the relevance of predictors in a model, most famously in random forests. Common methods include permutation VIMP (measuring performance drop after permuting a variable's values) and Gini VIMP (measuring the total decrease in impurity caused by a variable's splits)
- HF, ML, oRSF, PARP, PCP-HF
- Statistics, Genomics, Model(ing), Machine learning
- https://doi.org…NAHA.120.053134
- https://doi.org…CGEN.124.004953