Bootstrap on Leave-one-out CV with Logistic Regression.
Source:R/evaluate.R
Bootstrap_LOOCV_LR_AUC.RdBootstrap on Leave-one-out CV with Logistic Regression.
Arguments
- df
a
data.frameof gene expression count data. Required.- targetVec
a binary vector of the response variable. Should be the same number of rows as
df. Required.- nboot
an integer specifying the number of bootstrap iterations.
Value
A list of length 2 with elements
- auc
A vector the length of
nbootwith the AUC from each bootstrap iteration.- byClass
A dataframe with number of rows equal to
nboot. Each row contains the sensitivity, specificity, positive predictive value, negative predictive value, precision, recall, F1, prevalence, detection rate, detection prevalence and balanced accuracy for that bootstrap iteration.