R/feature_importance.R
find_permuted_auc.Rd
Requires the future.apply
package
find_permuted_auc( method, test_data, outcome_colname, feat, outcome_value, seed )
method | ML method. Options: `c("regLogistic", "rf", "rpart2", "svmRadial", "xgbTree")`` |
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test_data | held out test data: dataframe of outcome and features |
outcome_colname | Column name as a string of the outcome variable (default |
feat | feature or group of correlated features to permute |
outcome_value | Outcome value of interest as a string (default |
seed | Random seed (default: |
vector of mean permuted auc and mean difference between test and permuted auc
Begüm Topçuoğlu, topcuoglu.begum@gmail.com
Zena Lapp, zenalapp@umich.edu